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Alda, Tania, Andika Sukma Ompusunggu, Ahmad Shalihin, Chindy Elsanna Revadi, Fadylla Ramadhani Putri Nasution e Naomi Cevania Purba. "Analisis Pengendalian Kualitas Produk Tiang Pancang di PT. X dengan Menggunakan Metode Failure Mode and Effect Analysis (FMEA)". Jurnal Manajemen Rekayasa dan Inovasi Bisnis 2, n.º 2 (21 de fevereiro de 2024): 61–69. http://dx.doi.org/10.62375/jmrib.v2i2.284.
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This research was conducted at a company engaged in the precast concrete industry. The company produces and distributes piling products both domestically and abroad. The quality of pile products made by the company is one of the considerations of consumers. For this reason, the company must provide the best quality by utilizing all production factors as efficiently as possible. This is done to maintain consumer confidence and reduce the number of products that must meet company standards. This research aims to find the leading cause of defects in pile products. The method used is failure mode and effect analysis (FMEA). The FMEA method will look at the factors that cause defects based on the highest risk priority number (RPN). From the research results obtained, four factors cause defects in pile products, namely human factors, machine factors, material factors and method factors. Based on calculating the priority risk value in the FMEA method, the RPN value results are Machine Factors of 192, Material Factors of 180, Human Factors of 120, and Method Factors of 75. The factor causing the highest pile product defects is the machine factor, with an RPN value of 192. Based on this, it is known that the spinning machine used is too old and many machine components need to be replaced, so the proposed improvements given are to carry out regular and scheduled machine checks and maintenance and immediately repair or replace damaged machine components.
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Muhammad Ferry Nasichul Achab e Hery Murnawan. "Perhitungan Kelayakan Investasi Mesin Amplas Pada UD. Surya Sejati Dengan Pendekatan NPV Dan IIR". Jurnal Ilmiah Teknik Informatika dan Komunikasi 3, n.º 2 (23 de junho de 2023): 159–67. http://dx.doi.org/10.55606/juitik.v3i2.511.
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Surya Sejati is a company engaged in manufacturing backrests, seats and table bases, in the production process of table mats there are problems of wasting time in the process of refining table mats, this study aims to analyze the activities of the production process and provide suggestions in the form of a sanding machine , and the results obtained are reduced production time, and work efficiency, the feasibility of the sanding machine will be tested by calculating the depreciation, machine costs, and production capacity time on the sanding machine, in calculating the feasibility of the sanding machine investment using the NPV (net present value) approach ) and IIR (internal rate of return) in order to determine whether the investment is feasible or not in business management at UD. Surya Sejati, in the calculation of investment feasibility the NPV value is more than 0, which is Rp.478,626,819. and the IIR (internal rate of return) value is 30% and the MAAR (Minimum Attractive Rate of Return) value is 12%, with a value (IIR > MAAR)
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Rachman, Taufiqur, Darmiolla Natasia Watunglawar, M. Derajat Amperajaya, Septian Rahmat Adnan e Iphov Kumala Sriwana. "Penentuan Interval Waktu Penggantian dan Perbaikan Komponen Kritis Mesin Bubut Type SS-850 di PT. Hamdan Jaya Makmur Dengan Metode Age Replacement". Jurnal METRIS 23, n.º 01 (6 de agosto de 2022): 52–61. http://dx.doi.org/10.25170/metris.v23i01.3547.
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PT. Hamdan Jaya Makmur is a company that runs in the field of Machining, Engineering, Fabrication, Stamping, and Trading Company, which produces products for small, medium and modern industries. Less than optimal maintenance system with corrective maintenance causes PT. Hamdan Jaya Makmur often experiences machine failure. Based on historical data, it can be seen that the lathe machine type SS-850 experienced very high downtime. Therefore, it is necessary to plan optimal and preventive maintenance of the machine in order to produce according to the target and increase the reliability of the machine. The purpose of this research is to determine the time interval and cost of preventive replacement on components of the lathe machine type SS-850 at PT. Hamdan Jaya Makmur. The method used in this research is the Age Replacement method, namely by determining critical components, determining the distribution pattern of damage, determining distribution parameters, and calculating MTTF and MTTR, where the results obtained are preventive replacement time intervals, and calculating preventive replacement costs. The results obtained from this research are that there are four critical components on the lathe machine type SS-850, namely electric components with a preventive replacement time interval of 11 days and a preventive replacement cost of Rp.3,080,679,253, bearing components have a preventive replacement time interval of 14 days and a preventive replacement cost of Rp.4,931,989,307, the gearbox component has a preventive replacement time interval of 33 days and a preventive replacement cost of Rp.11,621,532,829, and bolt and nut components have a preventive replacement time interval of 11 days and a preventive replacement cost of Rp.1,615,296,412.
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Syarifah Alda Azlika, Kurnia Diana, Mardian Adma Gumilang, Erik Mario Sihotang, Indrayani, Muammar Khaddafi e Damsar. "THE IMPORTANCE OF CAPITAL BUDGETING IN LONG TERM INVESTMENT DECISION MAKING". Journal of Accounting Research, Utility Finance and Digital Assets 1, n.º 4 (30 de abril de 2023): 602–6. http://dx.doi.org/10.54443/jaruda.v1i4.89.
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Lack of significant planning in investing by a company. This because in planning an investment project of course requires substantial funds, so if not budgeted and calculated properly, it can result in investment failure projects that can cause a company to experience large losses. This study discusses capital budgeting of a project in CV. ABC will buy a new machine. In the This study discussed how to calculate the initial investment, estimate the income that the company will get during the project, how long is the capital issued by the company for investment projects will be returned, and at most what is important is whether it is feasible or not is the investment project planning. Method used in capital budgeting calculations is the payback period, discounted payback period, Net Present Value (NPV), and Internal rate of Return (IRR). In the The results showed that CV ABC accepted the plan to purchase a corn drying machine by calculating the payback period for 5 years, the NPV and IRR are considered feasible.
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Ahmadzai, Nazak, Hameedullah Mohammadi e Naqibullah Mangal. "Data Mining Techniques in Telecommunication Company". Journal for Research in Applied Sciences and Biotechnology 2, n.º 1 (9 de fevereiro de 2023): 96–98. http://dx.doi.org/10.55544/jrasb.2.1.12.
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Due to emerging of amalgam amount of data from variety sources, the data mining has become a hot trend in field of Computer Science. Data mining extracts useful pattern and information from huge amount of existing data with the help of machine learning algorithms that can be helpful in solving many sophisticated problems.
Telecommunication companies also generates big amount of data from providing services to their customers, besides that telecommunication companies suffers from many problems like fraud, Customer churn and …etc.
The generated amount of data from these companies can help them to address the solution for their problems such as Customer Churn. Customer churn indicates to the event when a customer stops using the service of a company and starts to use the service of another company.
Churning of a Customer plays a vital role in having a sustainable business development for a telecommunication company since attracting new customers do not profit a company without retaining the old ones.
Data mining can address the problem by predicting the occurrence of customer churn in Telecom Company, which helps the company to be proactive in this event and can have the chance to retain them before the churn occurs.
In this study, I have chosen two open Telecom Churn data sets and have applied Support Vector Machine, Logistic Regression and Decision Tree Machine Learning Algorithms on each data sets independently, which conclude my work to six experiments.
I have used k-fold cross validation as validation technique during my experiments and confusion matrix for calculating the accuracy of each algorithm, the result of experiments will provide the accuracy of each algorithm in churn prediction for each data set.
At the end we will have a general comparison table from all six experiments which will show the algorithms performance summary and will indicate which algorithm will outperform the others.
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Septian Effendy, Septian Effendy, Rio Rahmat Ramadhan e Langga Pratama. "Analisis Penentuan Biaya Produksi Dengan Menggunakan Metode Full Costing Untuk Menentukan Harga Jual Pada PT Sumber Rezeki Internasional". Jurnal Ilmu Ekonomi, Manajemen dan Bisnis 2, n.º 1 (31 de janeiro de 2024): 34–40. http://dx.doi.org/10.30787/jiembi.v2i1.1406.
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A company that focuses on generating profits will definitely make every effort to maintain the survival of its company. One of the ways to increase profits is by raising the selling price of its products. In carrying out the production process to create a product with market value, manufacturing companies incur various costs. These costs are classified as production elements, such as raw material costs, direct labor costs, and factory overhead costs. The purpose of this study is to apply the full costing method to determine the selling price based on production costs. The analytical method used in this study is qualitative with a descriptive approach. The study's results indicate that the company does calculate its production costs when setting the selling price. However, when calculating factory overhead costs, the company does not include expenses such as machine and equipment depreciation costs, component material costs, and insurance costs.
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Candrianto, Candrianto, Rizaldi Sardani, Rizki Fadhillah Lubis e M. Zakaria. "Analisis Penyebab Kegagalan Mesin Wrapping Menggunakan Failure Mode And Effect Analysis di PT. X". INVENTORY: Industrial Vocational E-Journal On Agroindustry 2, n.º 1 (30 de junho de 2021): 33. http://dx.doi.org/10.52759/inventory.v2i1.58.
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PT. X is an industry that produces green tea and black tea. In this study, there are often problems with the wrapping machine due to the age of use and the tight schedule of usage in the wrapping machine. If the machine operates in an unstable condition, it will greatly affect the results of the production. Damaged components such as cutting blades, heating heaters, thermo control and bearings. By using the Failure Mode and Effect Analysis (FMEA) method and also calculating the Risk Priority Number (RPN) value, the highest RPN value to the lowest is obtained, namely Cutting Knife (RPN = 100), Heater (RPN = 90), Thermo Control (RPN = 72) and Bearings (RPN = 36). It can be seen that the cause of damage to the wrapping machine and also the highest RPN calculation is found in the damage to the cutting knife whose RPN value is 100. From the analysis of the damage to the cutting knife, the author provides a suggested repair plan for the company so that it can be implemented in the company which can later improve the quality of the machine to be operated. for the future which cannot be separated from the supervisory role of the operators in charge of their cooperation to improve quality and the quality control team that always monitors quality.
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Baron, Petr, Jozef Dobránsky, Martin Pollák, Tomáš Cmorej e Marek Kočiško. "Proposal of the Knowledge Application Environment of Calculating Operational Parameters for Conventional Machining Technology". Key Engineering Materials 669 (outubro de 2015): 95–102. http://dx.doi.org/10.4028/www.scientific.net/kem.669.95.
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Calculation of the machining parameters is one of the basic routine operations carried out before initializing the work and technological operations on a machine tool. Basis for calculating these parameters is obtained from the technical documentation in the form of rules, tables, catalogues and company literature. It can be concluded that this is a routine activity which represents a significant proportion of the activities performed before actual production of the product. It is exactly the routine activities that are possible to underpin and process well with the help of computers and appropriate application equipment. This contribution describes the design and implementation of a knowledge based system of calculation of the processing and operational machining parameters with the possibility of parameter correction with regard to specific technological equipment. The result is the obtaining of an optimal machine setting for machined range of products with a consideration for the production efficiency, durability of the cutting tool and the possibility of reusing the archived operational parameters.
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Irfandi Ambia, Mahmuddin Marbun e Zuhrahmi DE. "Analysis of Screw Press Machine Performance Using the Overall Equipment Effectiveness Method at PT Agro Synergy Nusantara". Jurnal Inotera 9, n.º 1 (13 de março de 2024): 88–97. http://dx.doi.org/10.31572/inotera.vol9.iss1.2024.id301.
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PT Agro Sinergi Nusantara PKS Aceh Seujahtera is a company engaged in the plantation and processing of oil palm fruit, where the production is in the form of crude palm oil (CPO), palm kernel and fiber. This factory has 2 horizontal type sterilizers with a capacity of 40 tons each. One machine that has a vital role in the production process is the screw press. Based on the results of observations and interviews with the company, it was found that the screw press machine was often damaged in the production process, as a result the production process was stopped and production results were not optimal, besides that the company would also experience losses. The purpose of this research is to measure the performance of the Screw Press Machine at PT Agro Sinergi Nusantara by calculating OEE through 3 main factors, namely Availability Ratio, Performance Effeciency Ratio, and Quality Ratio and determining corrective actions that can improve the performance of the Screw Press machine. The results of the performance analysis on the screw press machine obtained an Availability Ratio value of 84.52%, Performance Effeciency Ratio of 86.68%, Quality Ratio of 100%, and OEE of 73.37%. Based on a comparison with the Word Class Ideal Standard, only the Quality Ratio value meets the standard while the Availability Ratio, Performance Effeciency Ratio, and OEE have not met, meaning that the overall performance of the Screw Press Machine has decreased and has not met the Word Class Ideal Standard and it is necessary to improve the performance of the machine. Recommendations for improvements that can be made to improve the performance of the screw press machine again are to carry out routine maintenance on machine components so that damage can be prevented before severe damage occurs and cause longer downtime, conduct training for workers so that they can develop themselves and know more about the machine and the responsibilities that must be carried out, reinforce the implementation of routine and scheduled maintenance (preventive maintenance), and increase supervision during the FFB sorting process.
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Agus, Agus suparna, e Mukhlis Ali. "Penggunan Safety Stock Order Untuk Mengatasi Delay Waktu Pada Proses Produksi Paracetamol Infus disalah Satu PT. Farmasi Di Sukabumi". Jurnal Permadi : Perancangan, Manufaktur, Material dan Energi 5, n.º 1 (31 de janeiro de 2023): 1–9. http://dx.doi.org/10.52005/permadi.v5i1.104.
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In a company, of course there are lots of problems that often occur even though the system is running properly. Such as delays in goods, machine errors, transportation equipment, and others. With supply chain management, it is one of the most important factors that will be used to support and regulate operational activities in it. This research relates to the availability of raw material stocks which aims to avoid stockouts and meet demand levels. If done right, this system will increase the efficiency of supply chain management and reduce inventory costs. The main purpose of establishing the term safety stock related to inventory is to get a profit that is more in line with expectations in the company concerned. Profit will indeed be the most important factor that must be considered when building a company. The method applied is safety stock, which is an inventory prepared by a company to prevent inventory shortages when market demand is unstable, collecting data before delays occur, and calculating the required safety stock.
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Rasyid, Mohammad Andi, e Tedjo Sukmono. "Total Productive Maintenance Analysis to Increase Machine Productivity". Procedia of Engineering and Life Science 7 (17 de março de 2024): 571–80. http://dx.doi.org/10.21070/pels.v7i0.1530.
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The food manufacturing industry, especially dry and instant noodles, continues to grow rapidly, especially export market opportunities. Companies are required to increase productivity to meet domestic and international market demand. The role of machine performance is very vital in the production process, therefore the machine must always be in optimal condition. The high downtime caused by frequent breakdowns of production machines has a big impact on the productivity that the company wants to achieve. This activity aims to measure the effectiveness of the machines used at PT. Surya Pratista Hutama and measuring the efficiency of production machines and equipment. Each company can find out the performance of the machines used by calculating the level of equipment performance using the Total Productive Maintenance (TPM) method. The method used to measure TPM performance is the Overall Equipment Effectiveness (OEE) method. The use of this method is intended to provide equipment performance results as well as accurate calculations to determine the performance of the machine used. The results of this activity show that the Overall Equipment Effectiveness (OEE) value still has an effectiveness level below standard. The main factors that influence low OEE values are reduced speed losses, idling minor stopage losses, defects in process and breakdown losses. Therefore, preventive maintenance measures are needed to minimize the occurrence of machine damage.
Highlights:
Rapid growth in the food manufacturing industry demands increased productivity.
Machine performance is crucial for maintaining optimal production processes.
Total Productive Maintenance (TPM) and Overall Equipment Effectiveness (OEE) methods help measure and improve machine efficiency.
Keywords: Maintenance, Total Productive Maintenance, Overall Equipment Effectiveness, Six Big Losses.
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Bahri, Syamsul, Fachriah Nur Rahmadani e Armin Darmawan. "Analysis on Product Quality of Semi Refined Carrageenan using Six Sigma and Cost of Poor Quality". Industria: Jurnal Teknologi dan Manajemen Agroindustri 9, n.º 3 (28 de dezembro de 2020): 195–202. http://dx.doi.org/10.21776/ub.industria.2020.009.03.4.
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The study aimed to minimize defective products to improve the production process quality of PT BI by identifying the most types of defects, calculating Defect per Million Opportunities (DPMO) value, suggesting the quality improvement of the Semi Refined Carrageenan (SRC) production process, and calculating Cost of Poor Quality (COPQ) value. The methods used in this research were Six Sigma and the COPQ. The priority improvement based on the Pareto chart was moisture defects with the percentage of damage of 36.9%. The Sigma level of the production process of PT BI was 3.42 with a defect rate of 27,429 DPMO. The analysis on the cause and effect diagram showed that factors affected the occurrence of defective products were error in reading on moisture content, diverse raw material, the wrong method of mixing raw materials prior to production process, and the lack of inspectors of production process. The most influential-dominant factor was the obsolete machine which causes error in reading on moisture content. The company can take preventive and corrective actions to suppress defective products and improve product quality. Based on the calculation of the COPQ, the costs that must be incurred by the company due to defective products was IDR 1,007,690,694.
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Pratama, Bagus Aji, Ilka Zufria e M. Fakhriza. "Application of The Production Unit Method to Calculate Accumulated Depreciation of Factory Machinery using The Django Model". Instal : Jurnal Komputer 16, n.º 02 (13 de junho de 2024): 68–75. http://dx.doi.org/10.54209/jurnalinstall.v16i02.203.
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The research was carried out with the aim of making it easier for companies to record and make depreciation reports on factory machines by utilizing existing information systems, to apply the service hours and production unit method in determining depreciation reports on factory machines in companies, to carry out analysis of depreciation data on factory machines in companies, to design and build a system for calculating depreciation of factory machines using the service hour method and the production unit method and to implement a comparison of the service hour method and the production unit method in the factory machine depreciation system. The problem faced by the company is that there is no application program for calculating depreciation on factory machines every month, so it takes quite a long time to determine the amount of depreciation on factory machines and the accumulated depreciation of factory machines every month and the reports obtained are less effective and less efficient. And in determining depreciation of processing factory machines, a special method has not been used to calculate depreciation of factory machines. The company still has many weaknesses, including recording errors, calculation errors, and also the process of making reports which takes a relatively long time.
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Mutmainah, Nasywa Hanifa. "PERENCANAAN KAPASITAS PERCETAKAN ETHICA GROUP MENGGUNAKAN METODE ROUGH CUT CAPACITY PLANNING". Jurnal Rekavasi 10, n.º 1 (31 de maio de 2022): 1–8. http://dx.doi.org/10.34151/rekavasi.v10i1.3712.
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PT Ethica Megah Madani is a large-scale Muslim clothing manufacturing company. Even the production reaches 1.224.600 pcs per year. Meanwhile, the product produced are Muslim clothes for adults and children, men and women, headscarves, socks, with various different market segments. While the packaging for these products still uses vendors, the company wants a new business unit in the form of packaging printing for its product needs. In starting a new business unit, of course, planning become a reference when the business or production is already running. This study aims to plan the packaging production capacity so that the needs are met. Production capacity is the maximum number of units that can be produced in a certain period of time using available resources. The method used is Rough Cut Capacity Planning (RCCP), which is a method for calculating general capacity requirements and comparing them with available capacity. Next, perform an analysis on machines that lack capacity by adding time. From the processing results, it is known that there is one machine that lacks capacity and needs to be added, namely the screen printing machine
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Anbazhagan, R., G. Rekka, S. Rajamanickam, C. Dinesh, M. Ilayaraja e V. Srirangaramanujaa. "Design and Simulation of Automated Swaging Machine". International Journal of Engineering & Technology 7, n.º 3.34 (1 de setembro de 2018): 53. http://dx.doi.org/10.14419/ijet.v7i3.34.18715.
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One of the major time consuming factor on calculating the machine time for the job is loading and unloading. By decreasing the time taken during the loading and unloading of the job, play a significant role in increasing the production of the company. In the proposed study, the swaging machine is automated by means of simple but effective mechanism. The mechanism involves from lifting of the job from its initial position to the top of the slope with the help of slider operated by the pneumatic piston .Then, it is carried to the designated position in the work holding device with the help of controlled gravitational force by belt operated profile. The feeder attached to the swaging machine feed the job and bring back the job, back to the work holding device form there, it is carried to the unloading area by hooks attached belt conveyor. Position sensor is used to sense the position of the job and feed it as an input to operate the other Mechanisms. This work is a cyclic process which converts the swaging machine automated and work continuously. By this proposed work, the production increase, dependency on the reduction of man power, working hours of the swaging machine is increased.
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., Iriyadi. "The Price Determination Method Through Production Costs Calculation Study on Tas Tajur PT SKI, Bogor". Jurnal Akuntansi Bisnis dan Ekonomi 5, n.º 2 (13 de dezembro de 2019): 1423–32. http://dx.doi.org/10.33197/jabe.vol5.iss2.2019.312.
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The purpose of this research is to analyze the method used in calculating production cost and selling price of bag type 3673 on Tas Tajur PT SKI Bogor and also to compare the method used with full costing and variable costing method. This study used descriptive method and used primary and secondary data. The finding of research can be concluded that calculation of bag production cost type 3673 using company method, full costing, and variable costing each equal to Rp66.700, Rp69.830, and Rp68.700. While for the selling price of type 3673 bag using company method, full costing, and variable costing of Rp199,900, Rp209,490 and Rp206,100 respectively. The difference in bag manufacturing cost calculation lies in the factory overhead cost consisting of the cost of depreciation of the factory sewing machine, the cost of factory table depreciation, the cost of factory maintenance and the cost of factory utility.
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R, Karthika. "Various Construction Machinery Analyses". International Journal for Research in Applied Science and Engineering Technology 10, n.º 7 (31 de julho de 2022): 3116–20. http://dx.doi.org/10.22214/ijraset.2022.45689.
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Abstract: Construction is the various hazards available industry. At the same time these hazards make more reportable or non – reportable accident in the construction field. Most of the accidents are arrived due to the construction machinery. Now, in the modern construction field the usage of machinery is quite high. Maintenance and it will also focusing on calculating the overall equipment effectiveness. Utilization of machine properly and match their capacities to specific project requirements. Current practices and observations made in Indian construction industry. The effectiveness of construction machineries is a major factor that differentiates construction companies in terms of heavy construction and light construction. The objective of the work is to enhance the equipment effectiveness at a construction company. So we need to save the time in the construction field at the same time the machine related safety also important as well as reduce the accident.
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Вознесенский, А., e A. Voznesenskiy. "Creation of System of Motivation of Top-Management Aimed at Achieving the Strategic Goals of the Company". Management of the Personnel and Intellectual Resources in Russia 8, n.º 4 (31 de outubro de 2019): 24–32. http://dx.doi.org/10.12737/article_5d7b8fc71fb3e6.59806771.
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Based on the analysis of world experience of forming of relations of the subjects of the corporate governance system and its peculiarities in Russia at the present stage, in the present article the author proves the high importance of an eff ective system of remuneration of senior executives, as an essential element of the HR strategy to achieve the goals and objectives of the company development and the national economy as a whole. In the practical part of the study, based on the materials of a large, innovative, machine-building enterprise, a practical example of the method of calculating the remuneration of senior managers, as well as an algorithm for the introduction of a balanced approach to the formation of bonus contracts of top managers is presented.
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Demyanovich, Irina V. "Improving the efficiency of track machine stations in BAM conditions". Modern Transportation Systems and Technologies 10, n.º 2 (20 de junho de 2024): 274–86. http://dx.doi.org/10.17816/transsyst626637.
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Background. The article examines the specifics of implementing a capital construction plan by the track engine station on the Baikal–Amur mainline (BAM) section. The scientific problem focuses on assessing the effective use of labor in the challenging conditions of the Far North. Special attention is paid to calculating the number of workers needed and the potential savings in operating costs. A key aspect is the study of increasing mechanization levels for manual tasks, such as dismantling wooden rail gratings. Aim. The aim of this study is to provide an analytical assessment of the labor plan indicators for the track machine station operating in the BAM zone. Methods. Data for this study were sourced from analytical reports on the activities of the travel company. The research employed traditional economic analysis methods and the techno-economic method of planning enterprise performance indicators. Results. The study analyzed the dynamics of the number of track engine station employees during the period of increased railway construction in the BAM zone. It proposed options for increasing economic efficiency by reducing working time losses and optimizing technical processes. Conclusion. The article offers recommendations for effectively utilizing labor resources, improving worker professionalism and minimizing staff turnover. Calculations demonstrate that innovative solutions to complex organizational and management problems can reduce operating costs.
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Kumar, Atam, e Ramesh Kumar. "Productivity Improvement of Assembly Line-by-Line Balancing Technique: Case Study Textile Manufacturing Company Karachi Pakistan". South Asian Journal of Social Studies and Economics 21, n.º 5 (29 de março de 2024): 54–72. http://dx.doi.org/10.9734/sajsse/2024/v21i5814.
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The study on assembly line balancing theory and concept, focusing on the textile sector in Karachi, Pakistan, specifically the stitching department of a company, aimed to enhance efficiency through meticulous analysis and optimization. By employing time and motion analysis techniques, the research sought to identify and eliminate redundant activities, ensuring a seamless workflow with minimal idle time. The methodology employed involved a comprehensive observation of the entire production process, starting from stitching through to packing. This involved using a stopwatch to meticulously analyze each step of the process, thus gaining insight into the current operational dynamics of the assembly line. Line balancing was ensured by calculating Standard Allowed Minutes (SAM), assessing capacity, and determining the required manpower and machine resources. To further refine the efficiency of the stitching line, data collection was conducted using stopwatch techniques, to devise an improved layout. By reducing processing time and minimizing unproductive intervals, the study aimed to establish a foundation for enhanced productivity and streamlined work orders. Various tools were utilized to scrutinize the procedures involved in the production process, encompassing activities, operator proficiency, equipment efficiency, and material usage. This comprehensive approach aimed to optimize the workflow, making it more ergonomic and conducive to efficient operations while ensuring worker satisfaction. The study's analysis specifically targeted the stitching operations related to sheet sets, with a focus on minimizing the number of machines and achieving optimal line capacity. Significant reductions in machine requirements were achieved, with the number of machines for both sheet sets and fitted sheets being reduced substantially. Capacity calculations based on SAM and machine numbers demonstrated the achievement of production targets. Moreover, manpower requirements were reassessed and optimized, resulting in a reduction in the number of workers required for packing operations, thereby further enhancing efficiency.
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Akulov, Aleksey Sergeevich, Anna Dmitrievna Bezotosnaya e Tatiana Vladimirovna Pak. "Algorithm of finding optimal location for distribution centers for order delivery by using unsupervised machine learning methods". Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2023, n.º 3 (28 de julho de 2023): 105–13. http://dx.doi.org/10.24143/2072-9502-2023-3-105-113.
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The problem of automating the finding of centers of mass for a system of objects on the Earth's surface is considered. This task often arises, for example, in the course of optimizing the logistics network of the company in quickening the order delivery to the customers. Automation of this process contributes to the optimization of the staff involved, improves the quality of decisions on the development of logistics networks by estimating the situation based on data. The authors of the article suggest to use the modified metric K-means machine learning algorithm for determining the optimal locations of distribution centers of the delivery of goods to settlements. Such centers can significantly reduce transportation costs, as well as provide a high level of customer service quality. The research is also touches upon the more complicated cases of using the chosen method for finding warehouse locations, since the process depends on the logistics strategy of the company. The data were analyzed and a set of features suitable for the clustering algorithm as weights was determined. The data were processed and transformed to apply the algorithm. There has been developed a class for finding distances between points on the highways. The optimal number of clusters is calculated. The clustering algorithm has been modified in terms of calculating distances between objects. With the modified algorithm, a set of candidate points for the location of distribution centers was obtained.
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Ahmad Rizal e T.M Azis Pandria. "Maintenance Analysis of Sterilizer Machine Treatment at PT. Karya Tanah Subur (KTS) Using the Overall Equipment Effectiveness (OEE) Method". Jurnal Inotera 8, n.º 1 (29 de janeiro de 2023): 27–33. http://dx.doi.org/10.31572/inotera.vol8.iss1.2023.id207.
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PT. Karya Tanah Subur (KTS) is a company engaged in the oil palm plantation and processing business located in Padang Sikabu Village, Kaway XVI sub-district, Aceh Barat Regency. The resulting production is crude palm oil CPO (Crude Palm Oil) or crude palm oil Palm Kernel (PK) and shells. In processing crude palm oil, the Boiling Station (sterilizer) is one of the most important machines, because if the sterillizer machine is damaged it will affect the production process of the factory. The purpose of this study was to analyze the performance of the sterilizer using the Overall Equipment Effectiveness (OEE) method by calculating the average Avaibility, Performance Efficiency, Rate Of Quality, and OEE values from the performance of the sterilizer so that maintenance actions can be determined. Based on the analysis results, the average Availability is around 58.44%, Performance Efficiency is 80.77%, Rate Of Quality is 100% and the average OEE value on the Sterillizer machine is 46.43%, with these values when compared to the international standards then it will be a fairly high difference..
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Montoya-Reyes, Mildrend, Margarita Gil-Samaniego-Ramos, Alvaro González-Angeles, Ismael Mendoza-Muñoz e Carlos Raul Navarro-González. "Novel Ergonomic Triad Model to Calculate a Sustainable Work Index for the Manufacturing Industry". Sustainability 12, n.º 20 (9 de outubro de 2020): 8316. http://dx.doi.org/10.3390/su12208316.
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The human factor is becoming increasingly relevant for its role in industrial development; therefore, it is necessary to evaluate the machine–man–environment system in an integrated and not isolated way, as is commonly done, for evaluating the sustainability performance of manufacturing practices. For this reason, in this paper, an ergonomic triad model is proposed for calculating a novel Sustainable Work Index, (SWI), made up of the factors: human work, workstation design, organizational environment and sustainable environmental conditions. The methodology consists of defining the productive time, interviewing the workers, taking anthropometric measurements, assessing the environmental conditions, obtaining the indicators for each factor, calculating the index and interpreting the results to define improvement actions. The model was applied to a manufacturing industry obtaining a regular status with an index of 63.6%. Improvement actions were implemented, and it was possible to increase the index to 73.9%, which represents a good commitment of the company towards occupational health. The development of the new triad model to calculate the SWI will allow industries to visualize indicators of the interaction of the ergonomic triad, identify its current condition and propose actions to physically, organizationally and environmentally improve human well-being and system performance.
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Rifaldi, Moch Fiqi, e Siti Mundari. "Analisis Beban Kerja Karyawan Perakitan Kemasan Bedak untuk Memenuhi Permintaan". Jurnal Teknik Industri Terintegrasi 7, n.º 1 (19 de janeiro de 2024): 55–63. http://dx.doi.org/10.31004/jutin.v7i1.21874.
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PT. XYZ is a Foreign Investment (PMA) company that specializes in the plastic cosmetic packaging printing industry and produces more than a thousand packaging variants. This research focuses on the assembly part of the DK-274 baby powder packaging. The problem found in this research is the delay in achieving the demand target which originates from worker fatigue due to work pressure and other factors during the production process. In this research, workload measurements will be carried out and determine the optimal or ideal number of workers to meet demand. By using several research methods, including work sampling and work load analysis (WLA), which functions to determine the workload and the optimal number of workers. After the method was applied, the results showed that assembly of the DK-274 baby powder packaging product required a manufacturing time of 1.40 minutes per product unit with an average workload of 109.04% (overload). From the results of this research, the labor solution used in assembly DK-274 baby powder packaging uses 7 workers and 1 automatic press machine. By calculating using work load analysis, it was found that there was no additional workforce. The production alternative requires the company to provide overtime for 7 workers. With this implementation, the company only incurs less costs compared to increasing the number of workers
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Fathurohman, Muhamad Sayuti e Alexander Lambas T. "OPTIMASI PENJADWALAN PRODUKSI MENGGUNAKAN METODE CAMPBELL DUDEK SMITH (DI PT. XYZ)". Industry Xplore 5, n.º 2 (28 de setembro de 2020): 69–77. http://dx.doi.org/10.36805/teknikindustri.v5i2.1126.
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Scheduling is the allocation of limited resources to do a number of jobs. Problems arise when at certain stages of operation some or all of the work requires the same work station. PT XYZ is a service company engaged in electro plating, where the work process is carried out when receiving a request from the customer. The arrival of products from customers who are late and other things will affect the process of working on the products to be plated so that the schedule for sending back products that have been platted is not on schedule while the company does not have inventory. Therefore, a good production machine scheduling optimization will be able to produce good processing time. In addition to knowing the number of machines and jobs as well as the number and sequence of their production processes, research is also carried out by calculating the processing time of each job. Based on the comparison between the best iterations of CDS and the company's FSCS method, it is known that there is a difference in makespan time of 46990 seconds or about 13.05 hours and a flowtime difference of 216380 seconds or about 60.1 hours.
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Husen, Muhammad, Dayal Gustopo e Dimas Indra Laksmana. "PRODUCT QUALITY CONTROL USING SIX SIGMA (DMAIC) METHODS TO MINIMIZE WAST IN BIMA MANDIRI CIGARETTE COMPANY REMBANG, PASURUAN REGENCY". Journal of Sustainable Technology and Applied Science (JSTAS) 2, n.º 2 (30 de novembro de 2021): 14–22. http://dx.doi.org/10.36040/jstas.v2i2.3359.
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Quality is a key to be able to compete in the industrial world [16. Quality control is needed to reduce the number of defective products produced by the company, thus reducing losses experienced by the company. The Bima Mandiri Rembang Pasuruan cigarette company is a company that produces cigarettes, one of which is INNO cigarettes. The number of defective products produced by the company so that the company must make an increase in quality by using a method to reduce the number of defects that occur. The number of defective products causes the company to suffer losses. For that, we need a method that can reduce cigarette defective products which in turn can improve the quality of the company's production[12]. Six Sigma with the DMAIC stage (Define, Measure, Analyze, Improve, Control) is a method used in this research. Based on these steps, defects that often occur are less dense cigarettes as many as 289 sticks with a percentage of 25%, tearing on the cigarettes as many as 227 cigarettes with a percentage of 20% and peeling cigarettes as many as 208 sticks with a percentage of 18%. Factors that cause defects include humans, machines, methods and materials. After calculating using the Six Sigma method, before the improvement, the DPMO value is 113988.1 and the Sigma Level value is 2.722. After the improvements were made, the DPMO value decreased to 76488.1 and the Sigma Level was 2.94715. To achieve the six sigma target, the company is expected to be able to carry out improvements with a focus on the factors that cause product defects and always carry out regular control to reduce product defects. The corrective steps taken in the Bima Mandiri Rembang Pasuruan Regency cigarette company are human: regular training for machine operators and employees; methods: inspection of raw materials, blending machines and glue residue in the teat; engine: inspection of engine components; material: reprocessing less refined raw materials and using better quality glue.
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Farkhoutdinov, Il'nur Ildusovich, e Aleksei Gennadevich Isavnin. "Economic Assessment of Optimization of Machine-Building Production on the Basis of Restructuring Outsourcing Taking Into Account the Cyclical Nature of Economic Development". International Journal of Financial Research 12, n.º 1 (25 de dezembro de 2020): 286. http://dx.doi.org/10.5430/ijfr.v12n1p286.
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Nowadays using outsourcing and models of sourcing’s maneuver, becomes as one of the most leading tools for optimizing domestic engineering production. Many entrepreneurs reject outsourcing because they think that outsourcing will incur additional costs. However, they make mistakes in calculating the value of missed opportunities because they spend so much time on hard, energy-intensive work that it would be better to leave that to others. Therefore, outsourcing may be toxic to some businesses, and the same activity can be very successful if done within the organization. Outsourcing simplifies many tasks and is profitable for organizations and companies, but only if the conditions are carefully considered, and security points are observed. Every business, large or small, needs to outsource some of its activities, whether it hires an individual or a team to do their work at the company or do it elsewhere.In this paper, the authors consider the optimization of domestic machine-building enterprises through the use of restructuring production outsourcing. An approach to the economic evaluation of the machine-building production optimization based on the restructuring outsourcing, taking into account the cyclical nature of economic development, is developed.
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Pujianto, Hendri, Bambang Yulianto, Hamdan S. Bintang e Dinda Amelia Pramesti. "Optimum Splice Thickness Ratio Splicer of a Winding Machine to PE20KT Thread Splicing Quality". Sainteks: Jurnal Sains dan Teknik 5, n.º 2 (27 de setembro de 2023): 228–35. http://dx.doi.org/10.37577/sainteks.v5i2.605.
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Winding machines are needed after the spinning process on ring-spinning machines because small packages of spinnerets are mostly not suitable for efficiently carrying out subsequent processes such as weaving and knitting. The splicer is independently actuated to optimize splicing cycles. PT Delta Dunia Tekstil II (DDT 2) is a company operating in the spinning industry, with the CD line producing 100% polyester yarn, which is used to make fabric in the knitting process. Based on observations, thread defects occur, such as loops and holes in the knitted fabric, because the thread splices resulting from the winding process are brittle and thin. Experiments on setting joint thickness parameters on splicer adjustment indicators 1–5 with a ratio of 0.25 were carried out. After carrying out the experiment, 3 ratios were obtained for sampling visual tests and joint strength, namely a ratio of 2.5, 2.75, and 3. Observing and calculating the splice strength of the three splicer ratios sampled, it was found that the ratio of parameter 3 in the splicer was visually very good and consistent. Strange results also meet the standard, of 92.37%. The optimal splicer ratio setting that can be used for the Carded 20 KT production process is setting the splicer ratio with a splice thickness parameter of 3.
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Bangun, Cicilia, Abdul Jalil, Derajat Amperajaya e Roesfiansjah Rasjidin. "Preventive Maintenance Scheduling with Age Replacement Method at CNG Station". Aptisi Transactions on Technopreneurship (ATT) 4, n.º 2 (21 de julho de 2022): 153–63. http://dx.doi.org/10.34306/att.v4i2.260.
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CNG Mother Station focused to distribute Compressed Natural Gas for various industries. In the period from December 2020 to November 2021, there were 40 breakdowns in the distribution process machine causing delays in distribution of CNG. Company has to pay attention to the maintenance scheduling for vulnerabl components. This study aims to determine Preventive Maintenance scheduling and calculating maintenance costs using Age Replacement method for the critical components. The results showed that the critical components are Air Supply’s Hose (ASH) and Double Nipple Stage 4 (DNS-4). The proposed optimal replacement time interval for the ASH is 20 days where 19 component replacements are scheduled in 1 year with a cost reduction up to 4.8% compared to existing. The optimal replacement time interval for DNS-4 components is 24 days, which is scheduled for 16 component replacements in 1 year with cost reduction up to 29.1% compared to existing.
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Fadlan Alkindi, Isfenti Sadalia e Iskandar Muda. "ANALYSIS OF OPTIMAL STOCK PORTFOLIO INVESTMENT IN LQ45 INDEX USES THE MARKOWITZ MODEL AND SINGLE INDEX MODEL". Journal of Accounting Research, Utility Finance and Digital Assets 2, n.º 2 (19 de setembro de 2023): 644–54. http://dx.doi.org/10.54443/jaruda.v2i2.96.
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Based on the results of the optimal portfolio analysis of the Markowitz model and Single Index Model, it can be concluded as follows: Based on the optimal portfolio formation of the Markowitz Model, 4 shares form a portfolio return expectation of 0.0074, while the portfolio risk is 0.0428 and the proportion of funds formed is BBCA 50.81%, EXCL 9.83%, ICBP 30.59%, and KLBF 8.77%. Based on the formation of a single index model portfolio, 2 optimal portfolio formations were obtained with a portfolio return of 0.1486 and a risk of 0.0873, while the proportion of funds formed by ANTM was 10.5%, and BBCA was 89.5%.. Based on research results, it proves that the single index model can produce a profit of 14.86% with a risk level of 8.73% compared to the Risk-Free Asset Return Rate of 5.17%. Meanwhile, the Markowitz model can produce a portfolio return of 0.74% with a portfolio risk of 4.28%, which does not provide optimal profits because the expected return from the Markowitz model portfolio is lower than the Risk-Free Asset Return Rate.Lack of significant planning in investing by a company. This because in planning an investment project of course requires substantial funds, so if not budgeted and calculated properly, it can result in investment failure projects that can cause a company to experience large losses. This study discusses capital budgeting of a project in CV. ABC will buy a new machine. In the This study discussed how to calculate the initial investment, estimate the income that the company will get during the project, how long is the capital issued by the company for investment projects will be returned, and at most what is important is whether it is feasible or not is the investment project planning. Method used in capital budgeting calculations is the payback period, discounted payback period, Net Present Value (NPV), and Internal rate of Return (IRR). In the The results showed that CV ABC accepted the plan to purchase a corn drying machine by calculating the payback period for 5 years, the NPV and IRR are considered feasible.
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Feng, Yituo, e Jungryeol Park. "Using machine learning-based binary classifiers for predicting organizational members’ user satisfaction with collaboration software". PeerJ Computer Science 9 (17 de julho de 2023): e1481. http://dx.doi.org/10.7717/peerj-cs.1481.
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Background In today’s digital economy, enterprises are adopting collaboration software to facilitate digital transformation. However, if employees are not satisfied with the collaboration software, it can hinder enterprises from achieving the expected benefits. Although existing literature has contributed to user satisfaction after the introduction of collaboration software, there are gaps in predicting user satisfaction before its implementation. To address this gap, this study offers a machine learning-based forecasting method. Methods We utilized national public data provided by the national information society agency of South Korea. To enable the data to be used in a machine learning-based binary classifier, we discretized the predictor variable. We then validated the effectiveness of our prediction model by calculating feature importance scores and prediction accuracy. Results We identified 10 key factors that can predict user satisfaction. Furthermore, our analysis indicated that the naive Bayes (NB) classifier achieved the highest prediction accuracy rate of 0.780, followed by logistic regression (LR) at 0.767, extreme gradient boosting (XGBoost) at 0.744, support vector machine (SVM) at 0.744, K-nearest neighbor (KNN) at 0.707, and decision tree (DT) at 0.637. Conclusions This research identifies essential indicators that can predict user satisfaction with collaboration software across four levels: institutional guidance, information and communication technology (ICT) environment, company culture, and demographics. Enterprises can use this information to evaluate their current collaboration status and develop strategies for introducing collaboration software. Furthermore, this study presents a novel approach to predicting user satisfaction and confirm the effectiveness of the machine learning-based prediction method proposed in this study, adding to the existing knowledge on the subject.
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Yuniar, Eka, Dwi Safiroh Utsalinah e Dian Wahyuningsih. "Implementasi Scrapping Data Untuk Sentiment Analysis Pengguna Dompet Digital dengan Menggunakan Algoritma Machine Learning". Jurnal Janitra Informatika dan Sistem Informasi 2, n.º 1 (30 de abril de 2022): 35–42. http://dx.doi.org/10.25008/janitra.v2i1.145.
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Analysis of social media is an effective tool for understanding people's attitudes, preferences and opinions. For a company, social media analysis can help companies to make decisions about needs, attitudes, opinions or trends about potential customers or potential customers. Hootsuite's Wearesocial research results show that out of 150 million Indonesians, 88% are actively using social media. As a result, a lot of information that was once difficult to obtain is now very easy to obtain. With so much data, data collection can be made easier by using an automated data collection system. The use of Machine Learning Algorithm as a method is used to find out how far the level of search from social media data collected is to get accurate results related to changes in behavior, lifestyle, and community activities in dealing with this pandemic. Scraping data is done using Twitter social media data with various hashtags that support opinion mining contained in the community. The results obtained are the analysis of gopay users having a positive sentiment level of 79,6%, negative sentiment of 20,4% from total of 250 data. Meanwhile, Linkaja users have a positive sentiment level of 62,1%, 37,9% negative comments from 250 data comments taken. The test results also carried out a process of calculating the level of accuracy with recall and precision, namely 87% for Gopay and 89% for LinkAja.
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Ardi, Muhammad, Agus Sutanto e Anita Susilawati. "Analysis of Effectiveness of Cut Size Line Machines Based on Total Productive Maintenance (TPM) and Analytical Hierarchy Process (AHP) - A Case Study". Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) 67, n.º 3 (30 de novembro de 2023): 109–17. http://dx.doi.org/10.36842/jomase.v67i3.351.
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This research aims to analyze the implementation of Total Productive Maintenance (TPM) using Overall Equipment Effectiveness (OEE) and Analytical Hierarchy Process (AHP) approaches to increase the OEE value on cut-size line machines in the finishing department in PT. X. The research methodology was carried out by calculating OEE and significant loss values, analyzing Pareto and Fishbone diagrams, and using the AHP as a decision-making method. Then, the recommendations for implementing focused and autonomous maintenance in the case study company. The research results revealed that the significant influencing factor for the OEE value was engine speed, which causes performance efficiency to decrease so that the OEE value also decreases. The OEE value in 2021 is 74%. The improvement plan by applying the TPM and AHP methods will be expected to increase the performance efficiency of the machine via OEE value from 74% in 2021 to 79% for the coming year 2023/2024.
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Widyanto, Matias Kurnia. "PRODUCT QUALITY IMPROVEMENT USING SIX SIGMA APPROACH IN YARN MAKING PROCESS IN PT. SUTRA COTTON TEXTILE INDUSTRIES SURABAYA". Tibuana 3, n.º 02 (29 de julho de 2020): 1–11. http://dx.doi.org/10.36456/tibuana.3.02.2558.1-11.
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The successful implementation of the six sigma quality improvement program is demonstrated through the improvement of the capability process in producing products leading to zero defect. Therefore, the concept of calculating process capability is very important to understand in the implementation of the Six Sigma program. This research raises the problem of the low level of capability process in producing yarns at PT. Sutra Cotton Textile Industries, Surabaya. By wisely applying six sigma techniques can help reduce things that can affect overall costs. If a company has successfully implemented the concepts in six sigma, then it can be ascertained that the company is truly a reliable company in the world class. Another advantage gained from the implementation of the Six Sigma program is the achievement of targets, namely the increased capability process, of course, in terms of cost. From secondary data in May 2019, in the measure phase it is known that the DPMO value of 16,266 which can be interpreted that of one million production carried out there was a defect of 16,266 with a sigma value of 3.64. From these results it can be said that the production process in Winding has not been able to produce products that fit the desired specifications and is still lagging behind other subprocesses. method. The main priority in carrying out corrective actions based on FMEA is to clean and check the machine at the end of each production cycle. From the results of improvements, the sigma value and DPMO value obtained in September 2019 is 10,977 DPMO which means that of one million production carried out there is a defect of 10,977 with a sigma value of 3.80.
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Sunny, Oktavia, Anastasia Lidya Maukar e Ineu Widaningsih Sosodoro. "Perancangan Kapasitas Produksi Produk Electronic Control Unit (Ecu)". JIE Scientific Journal on Research and Application of Industrial System 4, n.º 1 (6 de agosto de 2019): 53. http://dx.doi.org/10.33021/jie.v4i1.748.
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The export demand for Electoric Control Unit (ECU) products, which continued to increase by approximately 25% in December 2014, made the company have to review its production capacity. Based on current production capacity data, it is known that the process cycle time is 64.9 seconds while the takt time needed to meet consumer demand is 39.4 seconds for the first production line. With working time included in working hours overtime, this first-line capacity cannot meet production demands. Work measurement is done to get actual time data for capacity calculation. Man machine chart is one of the tools used to determine the production line capacity with the current number of machines and workers. To be able to fulfill the production demand, a capacity design with 2 proposed improvements is carried out, namely: adding a working time of one shift for the first production line or balancing work time between lines. By calculating the results obtained and the costs incurred, the proposal for balancing work time between lines becomes more effective to do.
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Fitria, Laelatul, Dina Tauhida e Akh Sokhibi. "Quality Control with Six Sigma Method to Minimize Polyester Fabric Product Defects at PT Sukuntex". OPSI 16, n.º 1 (19 de junho de 2023): 110. http://dx.doi.org/10.31315/opsi.v16i1.6786.
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Quality control needs to be done to face industrial competition. PT. Sukuntex is a textile industry that produces fabrics, one of which is polyester with 58% production from the total fabric production. PT. Sukuntex has a make to order fabric production system, the company carries out quality control by inspecting every fabric produced in the quality control division. In this study, an analysis of polyester fabric quality control using the six sigma method with the DMAI (Define-Measure-Analyze-Improve) steps to determine the DPMO value, the company's sigma level, the causes of defects, and improvements. The results of this study found 3 dominant defects based on the Pareto diagram, namely thin thickness, sparse, and dirty oil. In calculating the DPMO value, the result is 49,825.15 meters with the sigma value obtained is 3.15. The sigma value can increase with quality improvement. Therefore, the causes of defects were analyzed using a fishbone diagram which resulted in human, machine, method, and environmental factors. FMEA-AHP method for improvement priorities, where FMEA analyzes the ranking of the causes of defects, then prioritizes improvement based on weights with AHP. Improvement plan using the 5W+1H method at the improve stage.
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Dermawan, Al Rizki, e Yani Iriani. "ANALYSIS OF FORGING MACHINE EFFECTIVENESS USING OVERALL EQUIPMENT EFFECTIVENESS (OEE) AND SIX BIG LOSSES METHODS (CASE STUDY : PT X)". Jurnal Darma Agung 30, n.º 3 (9 de novembro de 2022): 195. http://dx.doi.org/10.46930/ojsuda.v30i3.2218.
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PT X is a company in the manufacturing industry, with automotive spare parts being its main product. The current issue at PT X is a production shortage. One of the causes of decreased productivity, according to observations, is that there is still waste in the form of waiting time produced by a variety of factors such as workers, machines, and materials. The forging machine factor is the problem that contributes the most to PT X. The problem is that waiting is often inefficient because the product is of poor quality. The purpose of this research was to determine the value of Overall Equipment Effectiveness (OEE) on fitting forging machines and to identify issues in the production line using Six Big Losses. The Overall Equipment Effectiveness (OEE) method is a comprehensive performance measurement related to the availability of quality and productivity processes, whereas the Six Big Losses are equipment failure, set up and adjustment losses, idling and minor stoppages, reduced speed losses, quality defects and rework, and reduced yield or scrap losses. According to the findings of this survey, the average OEE value is 83.84%. As a result, it falls under the category of not meeting the standards. While calculating the Six Big Losses, the most common type of waste is the lower yield or scrap loss of 4.25%. Improvement efforts are focused mostly on the quality line, with the 4M+1E (Man, Machine, Material, Method, and Environment) factor influencing the low OEE value. The machine factor is the most important contributor to the appearance of shape change or product reject deformation in the 4M+1E analysis. Thus, PT X must enhance the temperature parameter settings and the length of the pressing process to reduce shape rejects.
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Anthony, Muhamad Bob. "Analisis Penerapan Total Productive Maintenance (TPM) Menggunakan Overall Equipment Efectiveness (OEE) Dan Six Big Losses Pada Mesin Cold Leveller PT. KPS". JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri 2, n.º 1 (29 de abril de 2019): 94. http://dx.doi.org/10.30737/jatiunik.v2i2.333.
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PT. KPS is one steel company in Indonesia that produces steel products in the form of slab and plate that is marketed in the country up to foreign countries. Cold leveller machine is a machine that serves to flatten the surface of the plate. Problems occurred in the machinery that is often experienced a breakdown so that the plate with uneven surfaces more and more because of the time machine working on the wane. This research aims to quantify the value of the overall equipment effectiveness (OEE), calculating the factor of six big losses and figure out the root cause of the problem, the dominant factor of the six big losses with the fishbone diagram. The OEE value obtained on the engine cold leveller is 82%. The biggest factor that causes the low effectiveness of the machine that is the reduced speed losses amounting to 11.59% and equipment failure losses amounted to 6.04%. The proposed corrective actions is prioritizing the main TPM pillar 3 that is autonomous maintenance, quality maintenance, training and education.Keyword : fishbone diagram, overall equipment effectiveness (OEE), pareto, the six big losses, total productive maintenance (TPM)PT. KPS adalah salah satu perusahaan baja di Indonesia yang memproduksi produk baja berupa slab dan plate yang dipasarkan di dalam negeri hingga ke luar negeri. Mesin cold leveller merupakan mesin yang berfungsi meratakan permukaan plate yang tidak rata. Permasalahan yang terjadi pada mesin tersebut yaitu sering mengalami breakdown sehingga plate dengan permukaan yang tidak rata semakin banyak karena waktu bekerja mesin semakin berkurang. Penelitian ini bertujuan untuk menghitung nilai overall equipment effectiveness (OEE), menghitung nilai faktor six big losses dan mengetahui akar penyebab masalah yang dominan dari faktor six big losses dengan fishbone diagram. Nilai OEE yang didapat pada mesin cold leveller adalah sebesar 82%. Faktor terbesar yang menyebabkan rendahnya efektifitas mesin yaitu reduced speed losses sebesar 11,59% dan equipment failure losses sebesar 6,04%. Tindakan perbaikan yang diusulkan adalah memprioritaskan 3 pilar utama TPM yaitu autonomous maintenance, quality maintenance, training dan education.Kata Kunci: fishbone diagram, overall equipment effectiveness (OEE), pareto, six big losses , total productive maintenance (TPM)
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Seif, Javad, e Masoud Rabbani. "Component based life cycle costing in replacement decisions". Journal of Quality in Maintenance Engineering 20, n.º 4 (7 de outubro de 2014): 436–52. http://dx.doi.org/10.1108/jqme-08-2013-0053.
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Purpose – The purpose of this paper is to assess life cycle costing (LCC) of the equipment in a more realistic, precise, and applicable manner, and to apply it to a real industrial problem. Design/methodology/approach – Based on the failure rates of the components of a machine, the LCC is assessed, mathematically modeled, and incorporated to the parallel machine replacement problem with capacity expansion consideration. The problem is modeled as mixed integer programming which intends to minimize the total costs incurred during a planning horizon of several periods for the machines of the same type with different ages. The decision variables are the number of machines to be purchased/salvaged in each period. A genetic algorithm (GA) is developed for solving the problem and its efficiency is verified. Findings – In conventional models presented for calculation of LCC, corrective maintenance (CM) costs of the machines are incorporated to the model as a whole which may result in inaccurate calculations. Obtaining this value is also very difficult and it can be different for machines with different ages. By calculating the CM costs of a machine based on the failure rates of its components, the LCC can be properly estimated in a realistic and precise manner. The presented GA is also proven to be efficient for solving problems of almost any size with different number of machines, components, and planning periods. Practical implications – The presented model and GA are applied to a real case of a construction company that needs to determine a purchase/salvage schedule for its loaders in the next ten years. Results of the calculated schedule imply that employing new loaders rather than maintaining the aged ones generally results in the minimum LCC. Originality/value – This paper presents a novel approach for precise, meaningful, and practical LCC calculation. The mathematical model and its solving method can be utilized by both the manufacturers and buyers of equipment as a tool which determines a parallel machine purchase/salvage schedule for a planning horizon of several periods which incurs minimum overall cost. The presented material can be also applied to other industrial problems and cases.
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CHERNYKH, A. G. "DETERMINATION OF THE VELOCITY AND FLOW RATE OF THE AEROSOL JET IN CIRCULAR SELF-PROPELLED SPRINKLERS". Elektrotekhnologii i elektrooborudovanie v APK 71, n.º 2 (2024): 59–69. http://dx.doi.org/10.22314/2658-4859-2024-71-2-59-69.
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Circular self-propelled sprinkler systems are highly efficient equipment for watering crops by sprinkling. Considering the diameter of irrigation, uniformity and productivity of the installation largely depend on the parameters and relative location of sprinklers on the main pipeline of the sprinkler machine, the assessment of the parameters of artificial rain for compliance with the set values for irrigation conditions requires appropriate theoretical and practical studies. (Research purpose) The research purpose is to theoretically calculate and experimentally confirm the results obtained characterizing the speed and performance of the aerosol jet at the outlet of the sprinkler in the fine sprinkling system, in relation to the main pipeline of the self-propelled sprinkler. (Materials and methods) The ballistic theory of the motion of droplets in the air in the Frene-Serre coordinate system perpendicular to the irrigation plane was used to construct a mathematical model of the motion of an aerosol jet. A set of sprinklers located on the main pipeline of a wide-scope circular sprinkler machine of the T-L Irrigation company was considered as an object of research. (Results and discussion) A mathematical model has been proposed for calculating the movement of an aerosol sprinkler jet in the air, which makes it possible to bring the volume flow rate of the sprinkler to an equivalent diameter and wetting depth in the irrigation plane. It has been shown that the data obtained make it possible to predict for a given set of sprinklers the depth of irrigation per unit of irrigated surface in the plane of the figure formed by two circles determined by the circular motion of two adjacent support trolleys of the machine. (Conclusions) It was determined that in order to bring the uniformity coefficient of circular sprinklers to a normalized value, when compiling appropriate mathematical models of the irrigation process, further adaptation of the movement of a single drop in the air to the parameters of artificial rain formed by the spray jet of the sprinkler is required.
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Gelindon, Jane B., Rose Mary A. Velasco e Dionicio D. Gante. "Credit Risk Evaluation in Banking and Lending Sectors Using Neural Network Model". Journal of Corporate Finance Management and Banking System, n.º 23 (31 de maio de 2022): 12–35. http://dx.doi.org/10.55529/jcfmbs23.12.35.
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This study presents the results of an experiment made with google colaboratory. The Google Colaboratory is also known as google colab it is a free online cloud-based Jupyter notebook environment that allows us to train our machine learning and deep learning models on CPUs, GPUs, and TPUs. We can determine the accuracy of the credit risk evaluation based on the dataset that was run in google colab using a neural network. The dataset has been thoroughly evaluated in creating a test harness for evaluating candidate models by calculating accuracy using k-fold cross-validation. When compared to a single train-test split, the k-fold cross-validation technique provides a reasonable general approximation of model performance. Based on the result, the correct number of rows was loaded, and through the one-hot encoding of the categorical input variables, it increased the number of input variables from 20 to 61. That suggests that the 13 categorical variables were encoded into a total of 54 columns. The result of the evaluation can help the banking and other financial sectors to assess a person before they are given a loan and if they can pay on time. This is a big help to reduce the losses of a company. Not only in the banking and other financial sectors as well as in lenders of goods.
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Setiawan, Heri, e Christofora Desi Kusmindari. "Redesain Metode Kerja Guna Reduksi Workload Fisik Dan Mental Pekerja Di Pt. Spu Palembang". Jurnal Tekno 17, n.º 2 (30 de outubro de 2020): 44–58. http://dx.doi.org/10.33557/jtekno.v17i2.1081.
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PT. SPU Palembang is an industrial company that produces Hospital Furniture and Rehabilitation products with the trademark SHIMA. This study aims to reduce the physical and mental workload received by workers in the Machine Shop Department. This research is focused on the production process .Measurement of physical workload uses the calculation of the worker's heart rate by calculating the percentage of Cardiovascular Load (CVL). Measurement of mental workload using the National Aeronautics and Space Administration Task Load Index (NASA-TLX) score calculation method. The results obtained based on the aspect of NASA-TLX before the proposal almost all workers receive a mental workload with a value of > 80 that is included in the category of heavy mental workloads except Milling-Drilling Workers (4) have a score < 80 in the category of moderate mental workload. After the proposal all workers have a score < 80 so that the mental workload received falls into the medium category. Based on the proposals applied to the Lathe Worker (1) and the Milling-Drilling Worker (4) namely the improvement of work methods in the process of turning, punching, and the proposed holding of a reminder as a tool to remember, the results obtained %CVL from both workers < 30%. Three other workers, although experiencing a decline, remained at > 30%. The category of mental workload received by workers from previously included in the category of heavy mental workload dropped to moderate
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Thu Thi Le, Hang, e Tinh Dinh Cong. "BIM-INTEGRATED SYSTEM: A SUCCESSFUL ALTERNATIVE FOR ESTIMATING CASH FLOW IN BUILDING PROJECTS". ASEAN Engineering Journal 13, n.º 4 (24 de outubro de 2023): 103–12. http://dx.doi.org/10.11113/aej.v13.19476.
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Cash flow calculation is an essential economic aspect of evaluating the success of a construction project. Strong cash flow positively impacts not only project effectiveness but also company profitability. Cash flow calculation is a good way for the contractors to avoid risks related to delay, cost overrun, or incompletion caused by financial deficits in the project’s performance. Building Information Modeling (BIM) is a revolutionary technology 4.0 that has been mandated and adopted by many countries all over the world. In Vietnam, a roadmap for BIM application in the construction sector was issued in 2023, under which obligatory new investment projects in public investment state capital provide BIM files to serve the appraisal of feasibility study reports, construction designs carried out after fundamental designs, applications for construction permits, and acceptance testing tasks. However, BIM authoring programming is still limited to cost management, especially cash flow calculations, because Vietnamese contractors are still facing a lot of difficulties in applying BIM to their projects, especially cash flow calculations. Therefore, this paper proposes a BIM-integrated system for calculating construction cash flow at the early phase of the project life cycle. The proposed system includes four modules: BIM visualization and data integration, construction cost estimating, construction project scheduling, and project cash flow calculation. The main functionality of the BIM visualization and data integration module is to provide a 3D visualized model with enough geometric and non-geometric data for the project quantity take-off. The functionality of the construction cost estimating module is to provide the direct cost categories, such as labor, material, and machine, and the indirect cost categories to perform all work tasks in the construction project. The main functionality of the construction project scheduling module is to provide the required time to complete all work tasks in the project implementation process. The main functionality of the project cash flow calculating module is to present cash inflows such as advance payment, payments from the owner, and cash outflows such as construction costs, equipment costs, project management costs, and project consultant costs to carry out the projects. The BIM-integrated system will make the calculation process of construction project cash flow easier and more accurate.
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Kevin Gilbert Wohon, Arini Anestesia Purba e Budiani Fitria Endrawati. "Penjadwalan Perawatan Sparepart Mesin dengan Pendekatan Reliability Centered Maintenance dan Failure Mode Effect Analysis di PT ABC". JURNAL TEKNIK INDUSTRI 13, n.º 3 (30 de novembro de 2023): 183–88. http://dx.doi.org/10.25105/jti.v13i3.19139.
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Intisari— PT. ABC merupakan perusahaan jasa perbaikan alat berat yang berlokasi di Balikpapan, Kalimantan Timur. Proses perbaikan alat berat terdiri inspeksi awal, pembongkaran, pengelasan, pembubutan, perakitan kembali, pengecatan, dan finishing. Pada proses pengelasan dan pembubutan sering terjadi kerusakan pada mesin, yang mengakibatkan waktu downtime yang tinggi. Data downtime yang tinggi yaitu sebesar 288 jam, yang terjadi pada sparepart screw ball mesin rebuilder. Penelitian ini bertujuan untuk mengetahui faktor penyebab kritis dan jadwal perawatan sparepart mesin yang efektif untuk mencegah terjadinya kerusakan mesin secara terus menerus. Penelitian ini menggunakan metode Realibility Centered Maintenance (RCM) dan Failure Mode Effect Analysis (FMEA). Tahapan dari penelitian ini terdiri dari mendefinisikan sistem kerja dengan functional block diagram, penentuan sparepart mesin kritis dengan Failure Mode Effect Analysis, penentuan jenis distribusi, waktu kerusakan, dan perbaikan dengan Index of Fit, menghitung waktu kerusakan dengan MTTR dan MTBF, menentukan realibility, serta memberikan analisa penjadwalan perawatan mesin yang tepat. Metode Failure Mode and Effect Analysis (FMEA) menghasilkan nilai RPN untuk setiap sparepart mesin, sehingga didapatkan akar penyebab prioritas kegagalan yang harus segera diatasi. Komponen itu terdiri dari seal as, screen, screw ball, bushing, dan gear hub, alarm. Kemudian metode Realibilty Centered Maintenance digunakan untuk mendapatkan jadwal perawatan yang tepat untuk sparepart mesin prioritas tersebut. Hasil dari penelitian ini didapatkan interval jadwal perawatan sebagai berikut: setiap 11 hari untuk seal as, 9 hari untuk screw ball, setiap 17 hari untuk gear hub dan alarm, setiap 13 hari untuk screen, dan setiap 14 hari untuk bushing. Penjadwalan perawatan sparepart mesin ini, diharapkan mampu untuk mencegah kerusakan mesin yang menyebabkan downtime yang lama.
Abstract— PT. ABC is a heavy equipment repair service company located in Balikpapan, East Kalimantan. The processing of heavy equipment consists of initial inspection, disassembly, welding, turning, reassembling, painting and finishing. In the process of welding and turning often occurs damage to the machine, which results in high downtime. The high downtime data was 288 hours, which occurred in the rebuilder engine screw ball spare parts. This study aims to determine the critical causal factors and maintenance schedules for machine spare parts that are more effectively preventing continuous engine damage. This study uses the Reliability Centered Maintenance (RCM) and Failure Mode Effect Analysis (FMEA) methods. The stages of this research consist of defining work systems with functional block diagrams, determining critical machine spare parts with Failure Mode Effect Analysis, determining the type of distribution, damage time, and repairs with Index of Fit, calculating damage time with MTTR and MTBF, determining reliability, and providing proper engine maintenance scheduling analysis. The Failure Mode and Effect Analysis (FMEA) method generates an RPN value for each machine spare part, so that the priority root causes of failure are obtained which must be addressed immediately. The components consist of axle seals, screens, screw balls, bushings, and gear hubs, alarms. Then the Reliability Centered Maintenance method is used to get the right maintenance schedule for the priority machine spare parts. The results of this study obtained the following maintenance schedule intervals: each 11 days for axle seals, each 9 days for screw balls, each 17 days for gear hubs and alarms, each 13 days for screens, and each 14 days for bushings. Scheduling the maintenance machine spareparts are expected to be able to prevent machine damage which causes long downtime.
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Zolotova, T. V., e D. A. Volkova. "Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes". Statistics and Economics 19, n.º 2 (6 de abril de 2022): 4–13. http://dx.doi.org/10.21686/2500-3925-2022-2-.
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Purpose of the study. The purpose of the study is to carry out a comparative analysis of various methods for correcting atypical values of statistical data on the stock market and to develop recommendations for their use.Materials and methods. The article analyzes Russian and foreign bibliography on the research problem. Consideration of machine learning methods for detecting and correcting outliers in time series is proposed. The mathematical basis of machine learning methods is the Z-score method, the isolation forest method, support vector method for outlier detection, and winsorization and multiple imputation methods for outlier correction. To create the models, the Jupyter Notebook software tool, which supports the Python programming language, was used. To implement machine-learning methods, data from stock quotes of the Moscow Exchange are used.Results. The results of machine learning algorithms are demonstrated for sets of real statistical data representing the closing prices of shares of three Russian companies “Sberbank”, “Aeroflot”, “Gazprom” in the period from 01.12.2019 to 30.11.2020, obtained from the website of the Investment Company “FINAM”. A comparative analysis of methods for detecting and correcting outliers by standard deviation has been carried out. The Z-score statistical method allows you to accurately determine the distance from the suspicious observation to the distribution center, which is an advantage. The disadvantage of this method is the influence of outliers on the mean and standard deviation, which can contribute to the masking of outliers or their incorrect detection. The isolation forest method recognizes outliers of various types, and when implementing the method, there are no parameters that require selection; but the disadvantage is the slower detection rate of outliers compared to other methods. The support vector machine is a very fast method and is reduced to solving a quadratic programming problem, which always has a unique solution. The winsorization method for correcting outliers reduces the effect of outliers on the mean and variance, which is an advantage, but may introduce bias due to the selection of thresholds to separate observations in the sample. The multiple imputation method creates for each missing value not one, but many imputations, which avoids a systematic error, but at the expense of high computational costs. For the initial data used in the work, the best result was shown by the implementation of the multiple imputation algorithm based on the detected outliers by the support vector method.Conclusion. There is no universal method for detecting and/or eliminating outliers in data analysis theory. In general, the determination of outliers is subjective, and the decision is made individually for each specific dataset, considering its characteristics or existing experience in this area. The practical implementation of the methods for detecting and eliminating outliers used in this work can be a tool for calculating more accurate indicators in any area, for example, to improve forecasting the stock price. As part of further work, it is possible to consider the optimization of the parameters used in the methods of detecting and correcting outliers to study their effect on the results of the models.
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Zolotova, T. V., e D. A. Volkova. "Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes". Statistics and Economics 19, n.º 2 (6 de abril de 2022): 4–13. http://dx.doi.org/10.21686/2500-3925-2022-2-4-13.
Texto completo da fonteResumo:
Purpose of the study. The purpose of the study is to carry out a comparative analysis of various methods for correcting atypical values of statistical data on the stock market and to develop recommendations for their use.Materials and methods. The article analyzes Russian and foreign bibliography on the research problem. Consideration of machine learning methods for detecting and correcting outliers in time series is proposed. The mathematical basis of machine learning methods is the Z-score method, the isolation forest method, support vector method for outlier detection, and winsorization and multiple imputation methods for outlier correction. To create the models, the Jupyter Notebook software tool, which supports the Python programming language, was used. To implement machine-learning methods, data from stock quotes of the Moscow Exchange are used.Results. The results of machine learning algorithms are demonstrated for sets of real statistical data representing the closing prices of shares of three Russian companies “Sberbank”, “Aeroflot”, “Gazprom” in the period from 01.12.2019 to 30.11.2020, obtained from the website of the Investment Company “FINAM”. A comparative analysis of methods for detecting and correcting outliers by standard deviation has been carried out. The Z-score statistical method allows you to accurately determine the distance from the suspicious observation to the distribution center, which is an advantage. The disadvantage of this method is the influence of outliers on the mean and standard deviation, which can contribute to the masking of outliers or their incorrect detection. The isolation forest method recognizes outliers of various types, and when implementing the method, there are no parameters that require selection; but the disadvantage is the slower detection rate of outliers compared to other methods. The support vector machine is a very fast method and is reduced to solving a quadratic programming problem, which always has a unique solution. The winsorization method for correcting outliers reduces the effect of outliers on the mean and variance, which is an advantage, but may introduce bias due to the selection of thresholds to separate observations in the sample. The multiple imputation method creates for each missing value not one, but many imputations, which avoids a systematic error, but at the expense of high computational costs. For the initial data used in the work, the best result was shown by the implementation of the multiple imputation algorithm based on the detected outliers by the support vector method.Conclusion. There is no universal method for detecting and/or eliminating outliers in data analysis theory. In general, the determination of outliers is subjective, and the decision is made individually for each specific dataset, considering its characteristics or existing experience in this area. The practical implementation of the methods for detecting and eliminating outliers used in this work can be a tool for calculating more accurate indicators in any area, for example, to improve forecasting the stock price. As part of further work, it is possible to consider the optimization of the parameters used in the methods of detecting and correcting outliers to study their effect on the results of the models.
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Sriyati, Sriyati. "Analisis Akuntansi Biaya Produksi Mesin Dengan Metode Full Costing Dalam Menetapkan Harga Pokok Produksi Mesin Pada PT. Cahaya Agro Teknik Surabaya". SUSTAINABLE 1, n.º 1 (28 de outubro de 2021): 42. http://dx.doi.org/10.30651/stb.v1i1.9697.
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The purpose of this study was to determine the extent to which the calculation of the cost of production using the full costing method the determine the cost of production at PT.Cahaya Agro Teknik Surabaya. Researchers used data sources consisting of primary data consisting of primary data and secondary data. The secondary theory is the theory obtained from the existing literature theory data, while the primary data is obtained from the company PT. Cahaya Agro Teknik Surabaya. In this study, the researcher used descriptive method with a qualitative method approach. Descriptive research method is research on problems that occur in the company and qualitative method is a research procedure that produces descriptive data consisting of written or oral forms of people and behaviors that researchers observe. The tools used for research use the full costing method. The researchers use the full costing method because the full costing method is one method of determining the costs of production that takes into account all elements of production costs into the costs of production. The results of the research that researchers have done are in calculating the cost of production using the full costing method to produce a higher value than the method applied by PT. Cahaya Agro Teknik Surabaya. This is because PT. Cahaya Agro Teknik Surabaya does not fully calculate the costs, both variable and fixed. The results of the analysis in calculating the cost of production using the full costing method for plastic 50 miliing mechines amounting to Rp.170.723.300, plastic 100 milling machines of Rp.300.976.260, plastic 200 milling mechines of Rp .509.424.300 and coconut milk machine of Rp. 169.424.300 Keywords: Full Costing Method, Cost of Production, Analysis Tujuan penelitian ini adalah untuk mengetahui sejauh mana perhitungan harga pokok produksi dengan menggunakan Metode full costing untuk menetapkan harga pokok produksi pada PT. Cahaya Agro Teknik Surabaya. Peneliti menggunakan sumber data yang terdiri dari data primer dan data sekunder. Teori sekunder adalah teori yang diperoleh dari data kepustakaan yang ada, sedangkan data primer diperoleh dari perusahaan PT. Cahaya Agro Teknik Surabaya.Dalam penelitian ini peneliti menggunakan Metode diskriptif dengan pendekatan Metode kualitatif. Metode penelitian kualitatif deskriptif adalah penelitian terhadap masalah yang terjadi diperusahaan dan Metode kualitatif adalah prosedur penelitian yang menghasilkan data secara deskriptif yang terdiri dari kata bentuk tertulis atau lisan dari orang-orang yang peneliti amati. Alat yang digunakan untuk penelitian menggunakan Metode Full Costing karena Metode penentuan harga pokok produksi yang memperhitungkan semua unsur biaya produksi ke Dalam harga pokok produksi.Hasil peneliti yang telah peneliti lakukan adalah Dalam perhitungan harga pokok produksi dengan menggunakan Metode full costing menghasilkan nilai yang lebih tinggi dibandingkan dengan Metode yang diterapkan oleh PT.Cahaya Agro Teknik Surabaya. Hal ini dikarenakan PT.Cahaya Agro Teknik Surabaya tidak sepenuhnya melakukan perhitungan harga pokok produksi baik yang bersifat variable maupun tetap. Hasil analisis Dalam perhitungan harga pokok produksi menggunakan Metode full costing untuk mesin giling plastic 50 sebesar Rp 170.723.300, Mesin Giling Plastik 100 sebesar Rp 300.976.300, Mesin Giling Plastik 200 Sebesar Rp 509.424.300 dan mesin peras santan sebesar Rp 169.424.300. Kata Kunci: Metode Full Costing, Harga Pokok Produksi, Analisis
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Pozevalkin, V. V., e A. N. Polyakov. "Implementation of a Digital Model of Thermal Characteristics Based on the Temperature Field". Advanced Engineering Research (Rostov-on-Don) 24, n.º 2 (29 de junho de 2024): 178–89. http://dx.doi.org/10.23947/2687-1653-2024-24-2-178-189.
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Introduction. Computer modeling allows engineers to make valid design decisions by accurately assessing the thermal characteristics of design objects. The implementation of digital twin technology in the process of designing technical facilities is the current direction of scientific research and development. To do this, it is necessary to develop computer models whose accuracy meets the requirements for digital twins. However, the scientific literature does not widely present the results of research aimed at implementing digital twin technology in the design process. The general issues related to the use of digital twins in various industries are mainly considered. Therefore, the objective of this study was the development of a digital model and a comparative analysis of the accuracy of calculations of thermal characteristics of the design object.Materials and Methods. The main tool for conducting the research was the methodology proposed by the authors for developing a computer model of thermal characteristics for the implementation of digital twin technology. The numerical solution was implemented through constructing a thermal model for calculating the temperature field based on the finite element method in the ANSYS engineering analysis system from ANSYS, Inc. (USA). For the analytical solution, a computer model of thermal characteristics developed on the basis of the state-space method, implemented in the ANSYS Twin Builder module, was used. The state-space model was matched to the behavior of the original thermal model through approximating the transfer function to the stepwise response of the thermal load using the time domain vector approximation method. Verification of the constructed analytical model was carried out in the engineering calculation system MATLAB from the MathWorks company (USA). The research was carried out for a 400V machine model manufactured by NPO “Stankostroenie” LLC, Sterlitamak (Russia).Results. The developed digital model makes it possible to calculate the thermal characteristics of the design object with high accuracy. The results of the comparative analysis showed a high degree of correspondence between the values of thermal characteristics obtained using the proposed digital model and the results of numerical simulation. The maximum error in calculating thermal characteristics did not exceed 0.1ºC.Discussion and Conclusion. Computer modeling that combines numerical calculation methods and a scientific approach based on digital twin technology, provides obtaining the result as close as possible to the results of experiments. The digital model proposed in the study is an effective solution, since it provides performing calculations to evaluate thermal characteristics in real time, which is one of the most important requirements for the implementation of digital twin technology.
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Rak, A., V. Busher e O. Glazeva. "FEATURES OF POWER DETERMINATION OF AUXILIARY-EMERGENCY DRIVE MOTION OF A SHIP WITH A COMBINED DIESEL-ELECTRIC POWER PLANT". Electromechanical and energy saving systems 4, n.º 52 (23 de dezembro de 2020): 8–16. http://dx.doi.org/10.30929/2072-2052.2020.4.52.8-16.
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Purpose. The paper compares the traditional method of calculating the parameters of electric motion of ships in auxiliary emergency modes at low speeds of the vessel with another, simplified because it does not require the use of a large number of diagrams to determine the resistance of the vessel. But according to a simplified method for this example – a container ship with a capacity of 16,000 containers with the main engine capacity of 61776 kW, a synchronous machine with a capacity of up to 6 MW in engine mode, and three diesel generators with an electric capacity of 3187 kW – 39 % more power is obtained. Own experience of operation of the vessel in modes with electric movement – loading of diesel generators in this mode on the vessel about 70 % that is received by calculations. Thus, when upgrading the propulsion system or designing new vessels, it is advisable to compare the results of two calculations of the power of diesel generators at the limit of the minimum stable speed of the main engine and choose the larger of the results. Methodology. Comparison of specific and absolute fuel consumption, made on the basis of known approximation polynomials for low- and high-speed types of diesel of the company at auxiliary emergency movement shows that at the movement from high-speed diesel generators MAK8M32S fuel consumption decreases by 24 %, then at the maintenance of the main engine 12 RTflex-96C from WÄRTSILÄ-SULZER. Results. Therefore, the use of electric motion allows you to save engine power of the main engine, reduce fuel consumption. This ratio is observed on most maritime transport vessels. And given that diesel generators operate at almost optimal load, and the main engine – at idle, electric motion provides a significant reduction in harmful emissions into the atmosphere. The latter is also true for a ship where the synchronous engine is located behind the main engine, although fuel consumption, in this case, increases by 32 %. Figures 9, tables 6, references 15.
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Klepikov, O., A. Boreyko e G. Kurenkova. "Assessment of professional risk of health of workers of the enterprise for repair of railway carriage". Sanitarnyj vrač (Sanitary Inspector), n.º 3 (1 de março de 2020): 9–19. http://dx.doi.org/10.33920/med-08-2003-01.
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The aim of the study was to assess the professional risk of developing diseases in workers of the railway car repair enterprise. The Voronezh Car Repair Plant, a branch of Vagonremmash Joint-Stock Company, was chosen as the object of study. Methods: «The methodology for calculating individual occupational risk depending on the working conditions and the health status of the employee», developed by the Klin Institute for Protection and Working Conditions in conjunction with the Research Institute of Occupational Medicine (2013), the main professions; cohort study with the calculation of the relative risk of morbidity with temporary disability, the odds ratio, the etiological share of factors in the formation of morbidity (group size: 250 people, experimental group — workers of the main specialties, 95 people — comparison group). Results. According to the research results, the priority factors of occupational health risk include: chemical, noise, heating microclimate, low light level. For certain professions, the share of the contribution of priority factors to the risk profile (PV) reaches 40 %. The indicator of individual occupational risk is 0.12 to 0.26 units. The high level of professional risk (0.22 ÷ 0.26) is characterized by the working conditions of the mechanics for the repair of rolling stock, machine tools (woodworking), casters (metal), thermists, plastic casters. In professional groups with medium and high risk, the indicator of the relative risk of morbidity with temporary disability is higher than 1 (RR = 1.75 and 1.39, respectively), and the etiological share of production factors in the formation of diseases is from 27.95 (subgroup with secondary professional risk) up to 42.88 % (a subgroup with high professional risk), which indicates the professional condition of the disease. Discussion. In general, our data are consistent with the results of similar studies conducted earlier at the car building and car repair enterprises. In order to ensure hygienically safe working conditions and preserve the health of workers, it is necessary to reduce the level of exposure to production factors, including through the introduction of modern equipment and improvement of technological processes.