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Islam, Md Rakibul, Syed Mithun Ali, Amir Mohammad Fathollahi-Fard und Golam Kabir. „A novel particle swarm optimization-based grey model for the prediction of warehouse performance“. Journal of Computational Design and Engineering 8, Nr. 2 (24.02.2021): 705–27. http://dx.doi.org/10.1093/jcde/qwab009.
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Abstract Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is crucial for supply chain practitioners and industrial managers. Overall warehouse efficiency largely depends on synergic performance. The managers preemptively estimate the overall warehouse performance (OWP), which requires an accurate prediction of a warehouse’s key performance indicators (KPIs). This research aims to predict the KPIs of a ready-made garment (RMG) warehouse in Bangladesh with a low forecasting error in order to precisely measure OWP. Incorporating advice from experts, conducting a literature review, and accepting the limitations of data availability, this study identifies 13 KPIs. The traditional grey method (GM)—the GM (1, 1) model—is established to estimate the grey data with limited historical information but not absolute. To reduce the limitations of GM (1, 1), this paper introduces a novel particle swarm optimization (PSO)-based grey model—PSOGM (1, 1)—to predict the warehouse’s KPIs with less forecasting error. This study also uses the genetic algorithm (GA)-based grey model—GAGM (1, 1)—the discrete grey model—DGM (1, 1)—to assess the performance of the proposed model in terms of the mean absolute percentage error and other assessment metrics. The proposed model outperforms the existing grey models in projecting OWP through the forecasting of KPIs over a 5-month period. To find out the optimal parameters of the PSO and GA algorithms before combining them with the grey model, this study adopts the Taguchi design method. Finally, this study aims to help warehouse professionals make quick OWP estimations in advance to take control measures regarding warehouse productivity and efficiency.
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Kim, Thai Young, Rommert Dekker und Christiaan Heij. „Improving warehouse labour efficiency by intentional forecast bias“. International Journal of Physical Distribution & Logistics Management 48, Nr. 1 (12.02.2018): 93–110. http://dx.doi.org/10.1108/ijpdlm-10-2017-0313.
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Purpose The purpose of this paper is to show that intentional demand forecast bias can improve warehouse capacity planning and labour efficiency. It presents an empirical methodology to detect and implement forecast bias. Design/methodology/approach A forecast model integrates historical demand information and expert forecasts to support active bias management. A non-linear relationship between labour productivity and forecast bias is employed to optimise efficiency. The business analytic methods are illustrated by a case study in a consumer electronics warehouse, supplemented by a survey among 30 warehouses. Findings Results indicate that warehouse management systematically over-forecasts order sizes. The case study shows that optimal bias for picking and loading is 30-70 per cent with efficiency gains of 5-10 per cent, whereas the labour-intensive packing stage does not benefit from bias. The survey results confirm productivity effects of forecast bias. Research limitations/implications Warehouse managers can apply the methodology in their own situation if they systematically register demand forecasts, actual order sizes and labour productivity per warehouse stage. Application is illustrated for a single warehouse, and studies for alternative product categories and labour processes are of interest. Practical implications Intentional forecast bias can lead to smoother workflows in warehouses and thus result in higher labour efficiency. Required data include historical data on demand forecasts, order sizes and labour productivity. Implementation depends on labour hiring strategies and cost structures. Originality/value Operational data support evidence-based warehouse labour management. The case study validates earlier conceptual studies based on artificial data.
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Hu, Qing Ming, Dong Sheng Li, Xi Bing Li, Jian Hua Guo und Shi Gang Wang. „Research on Storage Automation Rebuilding of Traditional Warehouse“. Applied Mechanics and Materials 151 (Januar 2012): 544–48. http://dx.doi.org/10.4028/www.scientific.net/amm.151.544.
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A storage automation rebuilding scheme was proposed to enhance the space utilization and operational efficiency based on the analysis of the existing problem on traditional warehouse. The warehouse’s re-designing & re-planning scheme was determined, and the computer management & control system based on barcode and Radio Frequency (RP) technology was introduced with the fully utilization of traditional warehouse and original equipment. The hardware and software of the system were also expounded. Finally according to the requirement of host computer management & control system, operational control technology is integrated with information management, and the operation-oriented warehouse dynamic information management system was elaborated. The research results show that the rebuilding schemes have important theoretical and realistic significance on the improvement of changing the traditional warehouses into logistics centers.
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Savu, Ionel Dănuț, Bebe Adrian Olei, Sorin Vasile Savu, Gabriel Constantin Benga und Răzvan Ionuț Iacobici. „Warehousing in Romania“. Advanced Engineering Forum 34 (Oktober 2019): 235–40. http://dx.doi.org/10.4028/www.scientific.net/aef.34.235.
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Any perturbation in politics and in economics affects the logistics of freight, from local to regional, national and even international. It creates weaving of the total volume of cargo and subsequently weaving of the market’s necessities regarding the transportation and warehousing. More, weaving of the volume of investments is specific effect. Such mechanism has been recorded in the last 7 years: increasing 2012-2015, decreasing 2015-2017, increasing 2017-2018. From 2017 it has been recorded a higher value of individual transactions, compared to 2016, when the transactions have dropped dramatically. In the end of the 2017, the mass center of the warehousing facilities were in the triangle Bucuresti-Pitesti-Ploiesti. The structure of the warehousing offer was at 31.12.2017: Green, energy efficient warehouses with available space for rent - Warehouse spaces: 197.440 m2, Warehouse rent: 45.540 m2, Average rental price: 2.73 €; A category warehouses with available warehouse space for rent - Warehouse spaces: 5.832.841 m2, Warehouse rent: 2.312.824 m2, Average rental price: 12.79 €; B category warehouses with available warehouse space for rent - Warehouse spaces: 487.388 m2, Warehouse rent: 222.248 m2 , Average rental price: 2.98 €; C category warehouses with available warehouse space for rent - Warehouse spaces: 109.432 m2, Warehouse rent: 60.582 m2 , Average rental price: 2.13 €; D category warehouses with available warehouse space for rent - Warehouse spaces: 1.950 m2, Warehouse rent: 1.950 m2 , Average rental price: 3.75 €; the rest to 100% was shared among Cold, Break-Bulk, Cross dock, Transload, Hazmat, and Food grade warehouse types. Keywords: warehousing, improve efficiency, improve quality, improve security, warehousing structur
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Dobrzański, Paweł, und Magdalena Dobrzańska. „Computer simulation of warehouse processes using the Enterprise Dynamics software“. AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, Nr. 6 (30.06.2018): 1026–29. http://dx.doi.org/10.24136/atest.2018.222.
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The dynamic development of industry and trade in recent years has forced the need to use new solutions in the field of warehouse management. The main reason for the changes being introduced is the optimization of the time of completing warehouse operations while reducing costs. This forces the reorganization of warehouses, warehouse operations and the introduction of modern equipment and devices used during the storage process. To ensure high efficiency and reduction of costs of warehouse processes, appropriate programs and simulation tools are used. The article presents the possibilities and benefits of software for modeling and simulation of processes taking place in warehouses.
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Chen, Chen, Jian Mao und Xingwen Gan. „Design of Automated Warehouse Management System“. MATEC Web of Conferences 232 (2018): 03049. http://dx.doi.org/10.1051/matecconf/201823203049.
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Aiming at the low degree of automation in production enterprises, real-time tracking and automatic access to warehouses are realized by developing warehouse management software. The paper first analyzes the system requirements, and then gives the overall design plan, through C#, MySQL and TCP. IP communication protocol, compiled a set of warehouse management system software. The actual application shows that the automation level and management efficiency of production enterprises are improved.
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Hamad, Murtadha M., und Muhammed Abdul Raheem. „EVALUATION OF BITMAP INDEX USING PROTOTYPE DATA WAREHOUSE“. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, Nr. 2 (30.04.2012): 39–42. http://dx.doi.org/10.24297/ijct.v2i1.2614.
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Bitmap indices have become popular access methods for data warehouse applications and decision support systems with large amounts of read-mostly data. This paper could arrive a number of results such as ; Bitmap Index highly improves the performance of Query Answering in Data Warehouses, It highly increases the efficiency of Complex Query processing through using bitwise operations (AND, OR). A prototype of Data Warehouse “STUDENTS DW†has been built according to the conditions of W. Inomn of Data Warehouses. This prototype is built for student's information.
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Tahboub, Khaldoun K., und Loay Salhieh. „Warehouse Waste Reduction Level and Its Impact on Warehouse and Business Performance“. Industrial and Systems Engineering Review 7, Nr. 2 (30.12.2019): 85–101. http://dx.doi.org/10.37266/iser.2019v7i2.pp85-101.
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Warehouses considered as having a strategic role in supporting the overall competitiveness of the supply chain through achieving improved efficiency. Accordingly, lean thinking have recently found its way in the warehouse operations. The aim of this paper is to propose and test a model to assess the level of waste reduction practices and its impact on warehouse and business performance, and to encourage scholars to develop models to assess lean thinking and waste reduction in warehouse operations. A Delphi technique used in order to develop related questionnaires to measure the degree of waste reduction in the different warehouse activities. The results suggested the existence of a positive relationship between waste reduction activities and business performance and warehouse operational performance. Finally, this paper provides practical implications for warehouse and supply chains managers and directions for future researchers in this field.
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Burinskienė, Aurelija. „Designing a Multi-Stage Transport System Serving e-Commerce Activity“. Sustainability 13, Nr. 11 (30.05.2021): 6154. http://dx.doi.org/10.3390/su13116154.
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In this paper, the author designs an e-commerce transport system, which covers the locations of producers’ facilities, distribution warehouses, and the business customers and deliveries among them. The study aims to identify the best locations for warehouses to increase efficiency in multi-stage transport systems. To reach this goal, the author revises distance metrics and suggests a methodological framework useful for warehouse location selection and practical applications. The empirical research is delivered by selecting a warehouse location using the maximal coverage model and mandatory closeness distance condition. After analyzing four warehouses’ alternatives, results are presented by applying various distance metrics. The results show that the selection of the location of the main warehouse depends on the level of returns that are defined by using the Mersenne Twister algorithm, and the distance calculation metrics representing differences in ranking. By the end of the study, the recommendation is given to apply the presented methodological approach for decision-makers seeking to improve service distances where decisions are made using path-based service distance criteria. The increase of efficiency is important from a policy development perspective, as findings of the study could help to reduce transport delivery costs for customers.
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Wen, Wei Jun. „Research on the Incremental Updating Mechanism of Marine Environmental Data Warehouse“. Applied Mechanics and Materials 668-669 (Oktober 2014): 1378–81. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1378.
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Marine environment data warehouse can store massive data. After the full amount of historical data has been initially loaded, the incremental update mode must be applied to ensure timely updates of data. In this paper, in view of the marine environment data warehouse’s characteristics, such as massive data amount, large number of historical data and low update frequency, a complete set of mechanisms for incremental update of marine environment data warehouse was proposed to greatly improve the operating efficiency of marine environment data warehouse.
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Shevchenko, Alisa, Iryna Lysenko, Oksana Hulchak und Yevheniia Shapenko. „An analysis of the feasibility of introducing «smart» systems in warehouses“. Dorogi i mosti 2021, Nr. 23 (25.03.2021): 197–204. http://dx.doi.org/10.36100/dorogimosti2021.23.197.
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Introduction.This article discusses the essence of compositions. The concept of automated management system of material and information flows is described. The main components of «smart» composition are identified. Its technological and technical aspects are analyzed. The advantages of the introduction of «smart» warehouse systems in the field of warehousing logistics are investigated.Problem Statement. Every year in Ukraine more than 30 million tons of goods are sold, and if we take into account that on the way the goods undergo up to 15–20 transshipments ― this figure exceeds 300 million tons. The range of goods sold in the service sector reaches 400 thousand items, and taking into account the types and varieties ― more than 1 million. This huge mass of goods before entering the trading floor is accepted, unloaded, assembled, prepared for sale, and so on. Execution of these logistic operations, improvement of all logistic process is impossible without existence of the corresponding warehouse network. To date, warehousing can not remain in this state, it has exhausted the reserves of improving the efficiency of its work. It is necessary to solve the problem of further development of warehousing at a qualitatively new level of organization and technical equipment.Purpose.Analyze the feasibility of implementing systems of smart warehouses to improve the efficiency of the logistics system.Materials and Methods.Much attention is paid to the question of the effective functioning of warehouses by domestic and foreign scientists such as Stoke J. R., Lambert D. M., Oklander M. A., Krykavsky E. V., Nikolaychuk P. V. and others. The lack of research in the field of implementation of smart warehouses and the need to determine the impact of new factors on the logistics process in the warehouse determines the relevance of the article.Results.After analyzing the technological and technical aspects used in «smart» warehouses, their characteristics were given, the advantages and disadvantages were indicated. Active development of information systems, new communications allow to change conditions of interaction of the enterprise with consumers. The modern warehouse complex, which has advanced technologies, allows to solve many problems related to the circulation of inventory.Conclusions. Properly organized warehouse allows you to optimize the costs of the logistics system, and the processes associated with the operation of warehouses, ultimately a significant component of total costs. Therefore, the introduction of a system of «reasonable» composition is appropriate.Keywords:warehouse, smart warehouse, logistics, warehouse management system, internet of things, information service, pick-to-light system, stock.
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Hassan, Mayadah, und Selwyn Piramuthu. „Review of auto-ID technology use in warehouse management“. International Journal of RF Technologies 12, Nr. 1 (24.08.2021): 35–51. http://dx.doi.org/10.3233/rft-210292.
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Warehouses play a significant role in the seamless distribution, integration, and storage of items as well as in supply chain operations. Automated identification (auto-ID) technologies that include barcode and RFID provide class- or item-level visibility to facilitate effective and efficient decisions in their respective environments. A warehouse environment benefits from auto-ID through improved cost savings, operational efficiency, and opportunities for higher revenues. It is therefore not surprising that both researchers and practitioners have considered the use of auto-ID in warehouses. We take stock of related literature to determine the state-of-the-art on auto-ID use in warehouse management, with specific focus on RFID, and identify potential directions of further research. Based on our review, we develop a conceptual framework that incorporates the primary factors that guide the decision to adopt auto-ID in warehouse management.
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Amanda Istiqomah, Nadya, Putri Fara Sansabilla, Doddy Himawan und Muhammad Rifni. „The Implementation of Barcode on Warehouse Management System for Warehouse Efficiency“. Journal of Physics: Conference Series 1573 (Juli 2020): 012038. http://dx.doi.org/10.1088/1742-6596/1573/1/012038.
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Karintseva, Oleksandra, Mykola Kharchenko und Hanna Ponomarova. „Improving the Efficiency of Warehouse Facilities in Manufacturing Enterprises“. Mechanism of an Economic Regulation, Nr. 4 (2020): 58–69. http://dx.doi.org/10.21272/mer.2020.90.04.
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Improving the efficiency of the enterprise involves the optimization of all business processes related to the production of finished products from orders for raw materials to direct output. The article analyzes the work of the manufacturing enterprise warehouse and highlights its main functions. The functions of a warehouse can be represented in the business process diagram of a warehouse organization. The work of the warehouse is divided into the receiving of material values, the loading of finished products and internal warehouse processes. In addition, a list of the main problems arising in the management of warehouse facilities was formulated, the reasons for which are the great influence of the human factor on the activities of this business process. It is people who are responsible for the correct design and accounting of material values, their movement and control. Therefore, the implementing of an automated warehouse management system (WMS-system) can solve these problems in part or full. In addition, the work highlights the components of the effectiveness of the WMS-system for the activities of the warehouse as one of the elements of the business process at the enterprise. These components include: revenue stream, customer relationships, key activities, key resources, key partners, values and cost structure. It is possible to improve the warehouse results, hence the whole enterprise results, by increasing the efficiency of storage, improving the accuracy and speed of tasks, optimizing the number of employees, and the availability of modern equipment that will quickly and efficiently perform warehousing operations.
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Mannino, Michael, Sa Neung Hong und In Jun Choi. „Efficiency evaluation of data warehouse operations“. Decision Support Systems 44, Nr. 4 (März 2008): 883–98. http://dx.doi.org/10.1016/j.dss.2007.10.011.
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Abdullah Mhana, Abdulgabbar, Naglaa Ragaa, Hegazy Zaher und Heba Sayed. „Solving the Multi-Commodity Single-Stage Capacitated Warehouse Location Problem Using Bat Algorithm“. Journal of University of Shanghai for Science and Technology 23, Nr. 05 (25.05.2021): 562–772. http://dx.doi.org/10.51201/jusst/21/05183.
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The warehouse location problem is so important in supply chains management. In concerns with optimize the assignment of warehouses in order to minimize the total costs related to transportation and service costs. In this paper, a mathematical model for the multi-commodity single-stage capacitated warehouse location problem is presented. A bat algorithm is developed for solving the problem and an illustrative example is presented to show its implementation. The computational results is done on a large sized problem to show the efficiency of the proposed algorithm.
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Dou, Jiajia, Chunlin Chen und Pei Yang. „Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses“. Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/597956.
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A new hybrid solution is presented to improve the efficiency of intelligent warehouses with multirobot systems, where the genetic algorithm (GA) based task scheduling is combined with reinforcement learning (RL) based path planning for mobile robots. Reinforcement learning is an effective approach to search for a collision-free path in unknown dynamic environments. Genetic algorithm is a simple but splendid evolutionary search method that provides very good solutions for task allocation. In order to achieve higher efficiency of the intelligent warehouse system, we design a new solution by combining these two techniques and provide an effective and alternative way compared with other state-of-the-art methods. Simulation results demonstrate the effectiveness of the proposed approach regarding the optimization of travel time and overall efficiency of the intelligent warehouse system.
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Bondarenko, Natalya, und Olha Feloniuk. „Organization of Warehouse Accounting of Production Inventories at the Enterprise“. Accounting and Finance, Nr. 2(92) (2021): 11–18. http://dx.doi.org/10.33146/2307-9878-2021-2(92)-11-18.
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The truthfulness and impartiality of all indicators, reflected in the financial statements, depend on the reliability and objectivity of the accounting of all business transactions, including those related to the movement of inventories in warehouses. The organization of warehousing is the choice and justification of the type and composition of warehouses, their location, size, equipment, as well as in the defined order of operation of warehouses, depending on the functions they perform. The purpose of the article is to study the order of organization of inventory and identify problems in its implementation in modern conditions. The definition of “warehouse” was analyzed in the context of logistics theory, the tasks of warehouses at the enterprise were revealed. Documentary support of accounting of operations with production stocks at all stages of the process of their circulation was systematized. It was found that in practice a significant number of domestic enterprises neglect the rational organization of warehousing, which in general affects the overall management of the enterprise. Achieving efficient use of stocks is possible only with proper organization of internal control over their use and movement. It is established that with the correct organization of warehousing is the establishment of close ties with the managers of the enterprise and the accounting department, which ultimately affects the efficiency of accounting. Warehouses should be located not in isolation, but in easily accessible places for the company, with good transport links, which is a necessary condition for ensuring the efficiency of the logistics chain. Hiring skilled warehouse workers is a guarantee of organized warehousing, which will ensure the effective performance of warehouse functions, as well as obtaining high profitability.
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Mostafa, Noha, Walaa Hamdy und Hisham Alawady. „Impacts of Internet of Things on Supply Chains: A Framework for Warehousing“. Social Sciences 8, Nr. 3 (06.03.2019): 84. http://dx.doi.org/10.3390/socsci8030084.
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The emergence of new digital industrial technology, known as Industry 4.0, has a positiveimpact on the performance of the supply chain. Warehouses are a basic part of the supply chain;they are used to store products and manage the inventory level. A sound warehouse managementsystem can lead to cost reduction and also can improve customer satisfaction. Traditionalwarehouse management models have become less efficient and unsuitable for today’s increasingmarket requirements. For the past decades, information and communication technology has beenused for warehouse management. This paper presents a new approach for warehouse managementby utilizing one of the main pillars of Industry 4.0, the Internet of Things. This new technologyenables the connection of several objects through collecting real-time data and sharing them; theresulting information can then be used to support automated decision-making. The architecture ofthis application is illustrated and its potential benefits are overviewed. A framework is proposed toimplement this approach in warehousing management, which can help in providing real-timevisibility of everything in the warehouse, increasing speed and efficiency, and preventing inventoryshortage and counterfeiting. This proposal gives an effective roadmap for enterprises to improvetheir warehouses by using the Internet of Things.
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Gnap, Jozef, Zdenek Riha und Stefania Semanova. „Proposal of Methodology to Calculate Necessary Number of Autonomous Trucks for Trolleys and Efficiency Evaluation“. Open Engineering 10, Nr. 1 (17.03.2020): 255–64. http://dx.doi.org/10.1515/eng-2020-0013.
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AbstractThe introduction of the paper highlights best practice in the area of deploying autonomous trucks in warehouses and the automotive industry, including the current technical possibilities of selected autonomous trucks. The next chapter presents the selected outputs of the scientific project “Center of Excellence for Intelligent Transport Systems” focused on a proposal of the methodology for calculating the necessary number of autonomous trucks and trolleys deployed in logistics warehouses. The methodology is based on the requirement that autonomous trucks do not have downtime. This represents a model solution with possible application in warehouse logistics but also in the automotive industry. The follow-up chapter proposes a methodological procedure to evaluate the efficiency of introducing autonomous trucks to pull trolleys in a logistics warehouse compared to conventional trucks operated by trained personnel. Autonomous trucks can theoretically be operated 365 days and 24 hours depending on the technology of their operation, battery charging, etc. On the other hand, there is generally a shortage of logistics personnel in the European Union as well as reliability and performance have been declining in recent years. The conclusion of the paper includes a discussion of the research results obtained and possibilities for future research.
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Аbzhaрbarova, A. Zh, und R. D. Mussalieva. „Features of using AGV technology in the warehouse“. Bulletin of "Turan" University, Nr. 1 (31.03.2021): 104–9. http://dx.doi.org/10.46914/1562-2959-2021-1-1-104-109.
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This article examines the current state of warehouse logistics, which is characterized by the use of automated technologies and software for work performed in the warehouse to reduce logistics costs. Automation of all types of warehouses increases the cost of warehouse operations by automating small, repetitive tasks, allowing workers to focus on more complex tasks. The development of information technologies and the use of modern technology expand the possibilities of improving the efficiency of the warehouse. The warehouse robotics industry includes several types of warehouse robots that serve different purposes and functions, such as filling orders and moving inventory in a warehouse, etc. One of the types of warehouse robotics that we consider in this article are vehicles with automatic control technology AGV (Automatic guided vehicle). The AGV technology is based on an automatic trolley, an electric tool that transports goods from place to place. Since the trolley is controlled automatically, maintenance of the trolley does not require a separate operator-the trolleys move along a given trajectory in isolated conditions without the need for human labor. In addition to the need to maintain the required product quality, the use of AGV has the following advantages: reducing the number of personnel, especially high-quality and responsible transport operators, ensuring occupational safety, minimizing damage caused by product damage, since all movements of vehicles with automatic control can be precisely programmed.
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Nair, Chandra, Konstantinos Tsiopanos, Richard Martin und Graham Marshall. „Increasing Warehouse Productivity With an Ergonomic Handheld Scanner“. Ergonomics in Design: The Quarterly of Human Factors Applications 26, Nr. 3 (11.04.2018): 23–31. http://dx.doi.org/10.1177/1064804618757281.
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Rugged handheld scanners, known in the industry as rugged mobile computers, are used for critical warehouse operations, such as receiving, order picking, and put-away. The form of rugged scanners has not fundamentally changed since it was introduced to replace pen and clipboard. Warehouses have extracted the maximum available efficiency increases available through today’s handheld rugged scanners, but new operational challenges require new ways to further increase productivity and accuracy. The “line of sight” rugged handheld scanner concept described in this article is designed to enhance the user’s efficiency by eliminating non-value-added wrist motions.
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Prause, Christian R., Marc Jentsch und Markus Eisenhauer. „MICA“. International Journal of Handheld Computing Research 2, Nr. 1 (Januar 2011): 1–24. http://dx.doi.org/10.4018/jhcr.2011010101.
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Thousands of small and medium-sized companies world-wide have non-automated warehouses. Picking orders are manually processed by blue-collar workers; however, this process is highly error-prone. There are various kinds of picking errors that can occur, which cause immense costs and aggravate customers. Even experienced workers are not immune to this problem. In turn, this puts a high pressure on the warehouse personnel. In this paper, the authors present a mobile assistance system for warehouse workers that realize the new Interaction-by-Doing principle. MICA unobtrusively navigates the worker through the warehouse and effectively prevents picking errors using RFID. In a pilot project at a medium-sized enterprise the authors evaluate the usability, efficiency, and sales potential of MICA. Findings show that MICA effectively reduces picking times and error rates. Consequentially, job training periods are shortened, while at the same time pressure put on the individual worker is reduced. This leads to lower costs for warehouse operators and an increased customer satisfaction.
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Putri, I. Gusti Ayu Putu Arika, und I. Nyoman Nurcaya. „PENERAPAN WAREHOUSE MANAGEMENT SYSTEM PADA PT UNIPLASTINDO INTERBUANA BALI“. E-Jurnal Manajemen Universitas Udayana 8, Nr. 12 (03.12.2019): 7216. http://dx.doi.org/10.24843/ejmunud.2019.v08.i12.p16.
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Warehouse Management System is a database-based computer application system, which used to improve warehouse efficiency in maintaining the accuracy of inventory data by recording every transaction in the warehouse. The purpose of this study was to determine efficiency of material handling costs incurred after implementation of warehouse management system. The research was conducted at PT Uniplastindo Interbuana Bali with simulation of implementation warehouse management system. Based on calculations, application of WMS able to increase cost efficiency and time efficiency in material handling because the system is able to provide accurate material placement data. Data during simulation shows a smaller amount of time compared to before simulation, which means less costs are incurred. Existence of system also makes it easy for related admin to collect data on real stock in the field. Data presentation and processing becomes faster and accurate so it can lead to increased performance in company.
Keywords: Warehouse Management System (WMS), material handling, cost efficiency
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Rücker, Andreas, Jona Rief und Johannes Fottner. „Development of a method for the energy efficiency determination of stacker cranes in automated high-bay warehouses“. FME Transactions 48, Nr. 4 (2020): 753–60. http://dx.doi.org/10.5937/fme2004753r.
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Modern intralogistic facilities fulfil important tasks within today's supply chains. Many different influences must be taken into account in their planning and construction. Current trends and circumstances show a strong tendency to build energy efficient and therefore environmentally friendly warehouses. This applies to the building technology of a warehouse and the intralogistic system used. Intralogistic facilities with an automated high-bay warehouse are very common and often operated by stacker cranes. This storage technology allows goods to be stored in a very volume and energy-efficient manner. The performance and energy demand of stacker cranes are influenced by a large number of parameters. To determine their energy efficiency is therefore complex. In this paper we present a method based on a simulation study which could be a possible solution for this problem.
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Wu, Zhong-huan, Hong-jie Chen und Jia-jia Yang. „Optimization of Order-Picking Problems by Intelligent Optimization Algorithm“. Mathematical Problems in Engineering 2020 (23.07.2020): 1–12. http://dx.doi.org/10.1155/2020/6352539.
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To improve the efficiency of warehouse operations, reasonable optimization of picking operations has become an important task of the modern supply chain. For the purpose of optimization of order picking in warehouses, a new fruit fly optimization algorithm, particle swarm optimization, random weight, and weight decrease model are used to solve the mathematical model. Further optimization is achieved through the analysis of the warehouse shelves and screening of the optimal solution of the picking time. In addition, simulation experiments are conducted in the MATLAB environment through programming. The shortest picking time is found out and chosen as an optimized method by taking advantage of the effectiveness of these six algorithms in the picking optimization and comparing the data obtained under the simulation. The result shows that the optimization capacity of RWFOA is better and the picking efficiency is the best.
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Yang, Lv Qing, und Qiang Yan. „Research of Intelligent Warehouse Layout Base on Genetic Algorithm and Dynamic Programming“. Advanced Materials Research 989-994 (Juli 2014): 1547–50. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.1547.
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Intelligent warehouse management can effectively improve the work efficiency and decreasing operating costs for a company, and the reasonableness of warehouse layout has played a very important role in it. This paper will aim at the warehouse layout problem, analyze the superiority of genetic algorithm and dynamic programming for the problem, and base on the genetic algorithm, integrating the thoughts of dynamic programming to put forward an optimization strategy. It can improve the accuracy and efficiency of genetic algorithm by a modified encoding scheme and fitness function, in order to put forward a more optimal scheme of warehouse layout, provide the information base for following operation of warehouse management, and improve the intelligent level of warehouse management system.
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Liu, Hao, Zhong Yao, Li Zeng und Jing Luan. „An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China“. Assembly Automation 39, Nr. 1 (04.02.2019): 86–100. http://dx.doi.org/10.1108/aa-09-2018-0144.
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Purpose Large supermarkets, chain stores and enterprises with large-scale warehousing put forward higher standards and requirements for the automation and informatization of warehouses. As one of the fast-growing commercial supermarkets in China, the traditional warehouse management mode has restricted the rapid development of Yonghui Superstores to a certain extent. The purpose of this paper is to find out how the existing warehouse mode can be changed and to solve the existing problems of warehouse management of Yonghui Superstores. Design/methodology/approach This research puts forward construction of warehouse center, which is based on radio frequency identification (RFID) and sensor technology, then designs the model for receiving, storage, operations management, distribution and outbound to solve the existing problems of warehouse management of Yonghui Superstores. Findings What technologies should be adopted to meet storage requirements? How to monitor the storage environment in real time and improve the operation and management level of the warehouse? This study found that building a warehouse center based on RFID and sensor technology was a good solution. Research limitations/implications The Yonghui Superstores warehouse center model lacks corresponding simulation experiments, and the investment and income are difficult to estimate quantitatively. Practical implications This paper has designed and discussed the warehouse center model based on RFID and sensor technology, which provides a few references for the actual investment and construction of a warehouse center. In addition, the warehouse center model has strong generalized applicability and could be widely used in various enterprises. Social implications The warehouse center could improve the warehouse management level of Yonghui Superstores and change the traditional warehouse management mode. To some extent, it improves the enterprise flexibility of the market, which will be of great significance to improve business efficiency and enhance brand image and competitiveness. Originality/value This study takes Yonghui Superstores as a case to analyze the problems of warehousing management in detail and then designs a warehouse center based on RFID and sensor technology. The study discusses the location and distribution, software and hardware selection, benefits evaluation, significances and return on investment, which makes the warehouse center model versatile, technically feasible and economically applicable.
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Zapata-cortes, Julian Andres, Martin Dario Arango-Serna, Frank Alexander Ballesteros Riveros und Wilson Adarme - Jaimes. „Storage allocation optimization model in a Colombian company“. DYNA 86, Nr. 209 (01.04.2019): 255–60. http://dx.doi.org/10.15446/dyna.v86n209.77527.
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The storage allocation in warehouse is about of deciding the corresponding areas in which the products must be allocated. It can be made using different techniques to stablish the specific position for the products. Some applications provide solutions and evaluate results independently, allowing the identification of its potential in warehouses. This paper presents the application of a storage allocation model in a food company considering several products in a defined time horizon. The algorithm identifies the operation area and the corresponding spaces that are required for the products allocation, aimed to reduce holding and material handling costs. As a result, the application of the algorithm produces a complete product allocation in each period and improves the cost efficiency in the warehouse.
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Abhishek P.G. und Maheshwar Pratap. „Achieving Lean Warehousing Through Value Stream Mapping“. South Asian Journal of Business and Management Cases 9, Nr. 3 (26.10.2020): 387–401. http://dx.doi.org/10.1177/2277977920958551.
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This article applies value stream mapping (VSM) in a distribution warehouse after identifying and categorizing different warehousing wastes. The study suggests solutions for the reduction of each type of waste and employs lead time as the metric to understand the overall effectiveness of the suggested remedies. The distribution warehouse faced severe stock-out situations and high lead time for all deliveries. Current state and future state maps were utilized for mapping the current and revamped system, respectively. While existing studies on lean warehousing have utilized VSM to study a specific type of waste, this study extends it to include all types of warehousing waste, classifies them into seven types and provides a real case study along with evidence for improvement schemes for each category. This research, employing a case study, suggests an integrated lean warehousing method for design and operation of distribution warehouses. Dilemma/research question/purpose: Can the warehouse avoid stock-outs and decrease the lead time by identifying and reducing or eliminating the seven types of wastes in the warehouse operations? Theory: Lean management principle applied to a warehouse using value stream mapping to eliminate wastes. Type of the case: A problem-solving using lean tools carried out in a warehouse. Protagonist: Not needed. Options: Allow the current state to continue causing stock-outs and high lead times, or identify and reduce the wastes in the warehouse operations and avoid stock-outs, decrease lead times, and improve the overall efficiency of the warehouse. Discussions and case questions: Is it possible for the firm to go one step further than what the future state map has shown in the study? What other lean tools do you see fit to reduce or eliminate the types of waste outlined in this article?
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Avdekins, Aleksandrs, und Mihails Savrasovs. „Making Warehouse Logistics Smart by Effective Placement Strategy Based on Genetic Algorithms“. Transport and Telecommunication Journal 20, Nr. 4 (01.12.2019): 318–24. http://dx.doi.org/10.2478/ttj-2019-0026.
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Abstract Supply chain executives are faced with the challenge of reducing labor costs. Travel time or picking efficiency can easily account for 50% or more of order picking time. If we omit human factor and the technical equipment of the warehouses, picking efficiency is mostly affected by two factors: correct combining orders into a single travel instance and picking orders in batch is the first factor; the second one is a goods placement – the more effective the goods are located, the shorter will be the picking distance for each order or batch of orders. It means that individual orders will be picked faster. Usually to determine the correct location for the goods 3PL’s are using ABC analysis that includes indicators like count of orders, goods turnover, picking rate, weight etc. There are also more complicated indicators like goods adjacency. Such indicators are harder to take into account using ABC analysis, as it requires sophisticated analysis of customer orders. In recent publication goods placing by results of ABC analysis was compared to the genetic algorithm approach. It was showed that genetic algorithm much more effective for goods placing. The goal of this paper is to improve developed genetic algorithm and include in calculations factors of the labor costs and warehouse topology. These factors will make algorithm usable in real warehouses and WMS (warehouse management system) information systems.
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Baras, Nikolaos, Antonios Chatzisavvas, Dimitris Ziouzios und Minas Dasygenis. „Improving Automatic Warehouse Throughput by Optimizing Task Allocation and Validating the Algorithm in a Developed Simulation Tool“. Automation 2, Nr. 3 (20.07.2021): 116–26. http://dx.doi.org/10.3390/automation2030007.
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It is evident that over the last years, the usage of robotics in warehouses has been rapidly increasing. The usage of robot vehicles in storage facilities has resulted in increased efficiency and improved productivity levels. The robots, however, are only as efficient as the algorithms that govern them. Many researchers have attempted to improve the efficiency of industrial robots by improving on the internal routing of a warehouse, or by finding the best locations for charging power stations. Because of the popularity of the problem, many research works can be found in the literature regarding warehouse routing. The majority of these algorithms found in the literature, however, are statically designed and cannot handle multi-robot situations, especially when robots have different characteristics. The proposed algorithm of this paper attempts to give the following solution to this issue: utilizing more than one robot simultaneously to allocate tasks and tailor the navigation path of each robot based on its characteristics, such as its speed, type and current location within the warehouse so as to minimize the task delivery timing. Moreover, the algorithm finds the optimal location for the placement of power stations. We evaluated the proposed methodology in a synthetic realistic environment and demonstrated that the algorithm is capable of finding an improved solution within a realistic time frame.
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Sudaryono, Sudaryono, Lusyani Sunarya und Giandari Maulani. „Facility for Customizing Transaction Forms on Master Data Using an Online Accounting System Web For Work Efficiency Company“. Aptisi Transactions on Management (ATM) 1, Nr. 1 (26.12.2018): 17–23. http://dx.doi.org/10.33050/atm.v1i1.681.
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In the online accounting system based on a website that is very sophisticated and growing, complete facilities are certainly needed to support the smoothness and ease of accountants to apply to a company's finance. as in most other list facilities in the online accounting data master system is very influential in the ease of application consists of several features such as managing tax, warehouse list, changing product units, and terms and method of payment of the transaction itself. as an example of this tax regulating feature, it is very important, because it serves to direct and display a list of the types of taxes that the company uses for sales transactions to customers or purchases to company suppliers. then for the warehouse list is also important with other features in the master data facility that is to monitor warehouses or can be referred to as the branch of the company that you noted in your company's online accounting. To change product units can make it easier to describe the number of products available in the company, such as dozen samples, packages, boards, fruits, and pcs. the terms and method of payment in this menu function to create new and display the payment methods used by your company to your suppliers when making transactions. So, with the facilities in the master data can facilitate and provide work efficiency in shortening the flow and process on the features available in the master data facility.
Keywords: Master Data, Register Warehouse, Change Products, and Payment Method.
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Zhou, Jie, Ming Fang und Xin-ran Cao. „Drilling Material Data Warehouse ETL System Research Based on Crowd-Sourcing“. MATEC Web of Conferences 232 (2018): 01017. http://dx.doi.org/10.1051/matecconf/201823201017.
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Drilling material data warehouse is an important platform for assisting drilling engineering decision support and data analysis. The construction of high-efficiency and high-quality enterprise-level data warehouse puts high requirements on data quality. The operation targets of oil and gas drilling engineering are buried underground, and there are difficulties in data obtaining. This causes many uncertain data in the oil and gas drilling business database. At the same time, the business database in one area is quite different from those of other areas due to geographical environmental impacts ,so the database selection and integration strategy is uncertain . In order to solve these uncertain problem, this paper proposes building a drilling materials data warehouse ETL system based on crowd-sourcing, and improve the data quality of the data warehouse, thereby improving the efficiency of data warehouse construction.
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Zhang, Shuiwang, Linping Fu, Rong Chen und Yu Mei. „Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm“. Mathematical Problems in Engineering 2020 (05.05.2020): 1–14. http://dx.doi.org/10.1155/2020/5609873.
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An efficient storage strategy for retail e-commerce warehousing is important for minimizing the order retrieval time to improve the warehouse-output efficiency. In this paper, we consider a model and algorithm to solve the cargo location problem in a retail e-commerce warehouse. The problem is abstracted into storing cargo on three-dimensional shelves, and the mathematical model is built considering three objectives: efficiency, stability, and classification. An artificial swarm algorithm is designed to solve the proposed models. Computational experiments performed on a warehouse show that the proposed approach is effective at solving the cargo location assignment problem and is significant for the operation and organization of a retail e-commerce warehouse.
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Zheng, Yu Qiao, Rong Zhen Zhao, Shu Zhen Zhang und Bin Peng. „Dynamic Simulation Analysis of Stacker for Automated Warehouse“. Advanced Materials Research 411 (November 2011): 383–87. http://dx.doi.org/10.4028/www.scientific.net/amr.411.383.
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The dynamic characteristics quality of automated warehouse directly affects its reliability and efficiency. It is difficult to get the dynamic properties of automated warehouse with traditional design methods. The physical model of the GWD2005 automatic warehouse is established with the finite element method. Modal analysis is applied to stacker structure. Natural frequency and vibration mode of automated warehouse is confirmed. The instability factors of existing structure vibration are studied. The results show that the analysis method is effective to design the structure of automated warehouse.
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Eglit, Y. Y., К. Y. Eglit, A. R. Balybin und T. А. Vasil`eva. „JUSTIFICATION OF THE LAYOUT OF THE REFRIGERATED WAREHOUSE“. System analysis and logistics 1, Nr. 27 (2021): 59–64. http://dx.doi.org/10.31799/2077-5687-2021-1-59-64.
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The article is devoted to the issues of justifying the layout of a refrigerated warehouse. This takes into account the peculiarity of the refrigerated warehouse associated with the need to comply with the temperature regime, indicators of the efficiency of technological processes of the warehouse and other requirements necessary for storing perishable goods.
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Wu, Yun Na, Wei Luo und Xi Ba. „Warehouse Management System Applicable to Small and Medium Retailer Enterprises“. Advanced Materials Research 255-260 (Mai 2011): 2867–71. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.2867.
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Warehouse management is an extremely elementary and important part of logistics management, its effect would affect the cost of logistics immediately, and thereby it would influence an enterprise’s operation performance as a whole. Taking advantage of information technology to realize warehouse management could increase managing efficiency and record precision and improve economic performance.The article concludes all kinds of functional requirements in warehouse management, like inquiry and retrieval, and then abstract out the general pattern of warehouse management systems and design the system.
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Freitas, Andreia M., F. J. G. Silva, L. P. Ferreira, J. C. Sá, M. T. Pereira und J. Pereira. „Improving efficiency in a hybrid warehouse: a case study“. Procedia Manufacturing 38 (2019): 1074–84. http://dx.doi.org/10.1016/j.promfg.2020.01.195.
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Samattapapong, N. „An efficiency improvement in warehouse operation using simulation analysis“. IOP Conference Series: Materials Science and Engineering 273 (November 2017): 012013. http://dx.doi.org/10.1088/1757-899x/245/1/012013.
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Samattapapong, N. „An efficiency improvement in warehouse operation using simulation analysis“. IOP Conference Series: Materials Science and Engineering 273 (November 2017): 012013. http://dx.doi.org/10.1088/1757-899x/273/1/012013.
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Khayrullin, Rustam Zinnatullovich. „The system for statistical analysis of logistic information“. Vestnik MGSU, Nr. 5 (Mai 2015): 133–40. http://dx.doi.org/10.22227/1997-0935.2015.5.133-140.
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The current problem for managers in logistic and trading companies is the task of improving the operational business performance and developing the logistics support of sales. The development of logistics sales supposes development and implementation of a set of works for the development of the existing warehouse facilities, including both a detailed description of the work performed, and the timing of their implementation. Logistics engineering of warehouse complex includes such tasks as: determining the number and the types of technological zones, calculation of the required number of loading-unloading places, development of storage structures, development and pre-sales preparation zones, development of specifications of storage types, selection of loading-unloading equipment, detailed planning of warehouse logistics system, creation of architectural-planning decisions, selection of information-processing equipment, etc. The currently used ERP and WMS systems did not allow us to solve the full list of logistics engineering problems. In this regard, the development of specialized software products, taking into account the specifics of warehouse logistics, and subsequent integration of these software with ERP and WMS systems seems to be a current task. In this paper we suggest a system of statistical analysis of logistics information, designed to meet the challenges of logistics engineering and planning. The system is based on the methods of statistical data processing.The proposed specialized software is designed to improve the efficiency of the operating business and the development of logistics support of sales. The system is based on the methods of statistical data processing, the methods of assessment and prediction of logistics performance, the methods for the determination and calculation of the data required for registration, storage and processing of metal products, as well as the methods for planning the reconstruction and development of the existing warehouses. The results of approbation of software for the logistics of designing large warehouses of metal trading companies are given.
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Victor Aulin, Andrii Hrynkiv, Oleg Lyashuk, Yuriy Vovk, Sergii Lysenko, Dmytro Holub, Taras Zamota et al. „Increasing the Functioning Efficiency of the Working Warehouse of the “UVK Ukraine” Company Transport and Logistics Center“. Communications - Scientific letters of the University of Zilina 22, Nr. 2 (01.04.2020): 3–14. http://dx.doi.org/10.26552/com.c.2020.2.3-14.
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Competition in the field of logistics and individual transport services requires the constant analysis of logistics chains and their individual links. Given analysis enables implementation of new approaches to logistics companies and networks trade marketing in the offtake of certain types of goods. Industrial and commercial enterprises have to expand their trade and economic relations with other regions with the aim to provide the necessary sales volumes in the domestic market of regions and to go beyond it. Integration of the country's economy and the free trade policy orientation greatly simplify the task of establishing the free trade and economic relations between producers and consumers. However, there is a question of how quickly and efficiently; with minimal logistics costs, the goods at the right region of the customer should be delivered.
The experiment on a one-storey closed warehouse No 3 of Brovary "UVK Ukraine", where a process of the crossdocking warehousing, with subsorting from a warehouse, has been conducted. The warehouse mainly works on trading networks. The loading of the warehouse has been performed with the input flow intensity within (12.3 ... 23.56 (t/h)). During the experiment, the number gain of loading and unloading machines (Electrostacks Reath Track OMG NEOS LAT 3.0) a pcs in the process of unloading, loading and moving consignments, has been examined. In addition, the increasing number of workers employed in non-mechanized forms of work, such as receiving and stacking cargo in the reception area (moving the relevant consignments to designated areas of the reception area and its arrangement), which in total is an increase of 4 employees in the technological process of the warehouse operation, has been investigated during the experiment. The growing of labor and mechanized resources makes it possible to better organize the work of the warehouse, reduce total costs and increase cargo output flow. Conducting the process of warehouse work optimization on the formed technology and corresponding labor and mechanized resources caused an increase of its efficiency. It has been found that the optimal values of intensity of the incoming cargo flow will be 17.93 (t/h); the number of employees engaged in non-mechanized labor - 12 workers, and loading and unloading machines - 3 (pcs). Under such conditions, the warehouse functioning according to the desirability level will reach value 0.792. In this case, the cost value of warehouse work is 181.07 US$/h and cargo output flow intensity is 10.23 (t/h). Results of experimental studies have shown that implementation of the proposed method of increasing the efficiency of warehouse work, based on the company "UVK Ukraine" may, on average, achieve a total cost reduction of 17.2% and an increase in output flow by 34.6% and the input flow by 10.3%.
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Shen, Hao Hao, Qing Hua Liu, Yang Yang Han, Yang Liu und Zhu Tang. „A Radar Equipment Warehouse Management System Research Based on the Internet of Things“. Applied Mechanics and Materials 416-417 (September 2013): 975–79. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.975.
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This paper analyzes the shortcomings of the traditional manual radar equipment warehouse management, puts forward a radar equipment warehouse management system based on Internet of Things, introduces the basic knowledge of the Internet of things, then design the architecture of the system and analyze the workflow of each process integrate with RFID and sensors technology. This system can informationlize and intellectualize the radar equipment warehouse management, it also greatly improves the efficiency of warehouse management which meets the needs of the informationlize construction of the radar units.
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Li, Teng. „Modeling of Warehouse System with RFID Based on Petri Net“. Applied Mechanics and Materials 602-605 (August 2014): 3425–28. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3425.
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Technology of RFID has been widely used in modern warehouse system, with which systems’ working efficiency was improved and error rate was reduced. This paper is aimed at providing a new warehouse operation procedure which take technology of RFID into concern. The new warehouse operation procedure is implemented using the Petri net method which is suitable to the needs of the system being a discrete event dynamical system.
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Li, Hong Sheng, Guang Rong Bian und Ning Hui He. „Network Design and Implementation of Intelligent Warehouse Based on EPC/RFID and WSN“. Applied Mechanics and Materials 236-237 (November 2012): 338–43. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.338.
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The establishment of intelligent warehouse improves the efficiency of the items storage and realizes the localization and tracking of the various elements of the warehouse. Users can dynamically monitor the location and whereabouts of material, operating machinery and vehicles in warehouse by intelligent terminal. The overall architecture of the intelligent warehouse is built on the Internet and the Internet of Things.With the use of RFID technology, the wireless sensor network technology, the short-range wireless communication technology and automatic identification technology to locate and track the various elements of the warehouse for making warehouse management automatic, intelligent and accurate. The paper first analyzes the basic architecture of the intelligent warehouse system and designs the network architecture of the intelligent warehouse. It also compares the real-time location tracking system based on the RFID with the one based on wireless sensor networks. Therefore it can develop improved method of intelligent location tracking system and apply 8421 coding techniques in the localization and tracking of the intelligent warehouse so as to obtain a satisfactory effect of static and dynamic positioning.
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Song, Bo, Wei Yang Wang und Zhen Sun. „The Research of Warehouse Automation System Based on ZigBee & RFID“. Applied Mechanics and Materials 416-417 (September 2013): 753–56. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.753.
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This document explains the redesigned Warehouse Automation System based on ZigBee & RFID according to the research of present situation of warehouse workflow and management system. Based on the new design, we have succeeded to locate and manage the goods area using the ZigBee, propose a solution that using forklift as a carrier to realize "Offline Goods-Placement Management", so as to improve the accuracy and flexibility of goods management. This study resolves the following research problems: (1) Redesign the overall system workflow. (2) Describe the automation system functions and advantage. This Warehouse Automation System can effectively make up for many shortcomings of the previous warehouse management system and improve the efficiency of warehouse management.
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Minashkina, Daria, und Ari Happonen. „Decarbonizing warehousing activities through digitalization and automatization with WMS integration for sustainability supporting operations“. E3S Web of Conferences 158 (2020): 03002. http://dx.doi.org/10.1051/e3sconf/202015803002.
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The current strong outsourcing trend dictates that the efficiency of outsourced warehousing is a big contributing impact factor for the carbon footprint from supply chains. A good warehouse management system boosts warehousing eco-friendliest by reducing space waste and unnecessary number of material movements, to ensure continuous fast materials flow and to keep the heating and cooling costs to a minimum. All this may happen on some lengths inside the traditional manual warehousing scenes, but in fact, if the highest level of efficiency is wanted/needed, the operator shall need to automate, digitalize and robotize their operations. Authors presents an example of automation in the warehousing context, where the warehouse operator is capable of turning around an order line as an outgoing packet, even in high peak load times under 3h time period. This sort of efficiency means less needed storage space as items stay less time in the warehouse and such automatization also gives the 3PLs possibility to store materials in high rising automated systems like automated storage and retrieval systems to optimize their space usage. All combined, the future warehouse operations can make a positive impact on efforts to reduce overall CO₂ emissions made by supply chains.
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Ghalehkhondabi, Iman, und Dale T. Masel. „Storage allocation in a warehouse based on the forklifts fleet availability“. Journal of Algorithms & Computational Technology 12, Nr. 2 (04.04.2018): 127–35. http://dx.doi.org/10.1177/1748301818761130.
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Product allocation is one of the most important duties in warehousing operations. Based on the time and the number of products to put away and retrieve, storage allocation can directly affect the efficiency of a warehouse in terms of both response and operation time. Traditionally, the product storage allocation is done based on the less distance of shipment but focusing on distance may decrease the efficiency of a warehouse in terms of efficient utilization of resources such as warehouse inbound shipping fleet. This paper proposes a storage space allocation model that considers the availability of forklift fleet in a warehouse instead of product shipping distance. The numerical example shows that storing the products based on the proposed model can reduce the volume of forklift fleet idle hours on days with fewer volume of receiving and shipping outs. The proposed model also reduces the overtime working hours on days with higher volume of receiving and shipping out products.
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Yu, Junqi, Ruolin Li, Zengxi Feng, Anjun Zhao, Zirui Yu, Ziyan Ye und Junfeng Wang. „A Novel Parallel Ant Colony Optimization Algorithm for Warehouse Path Planning“. Journal of Control Science and Engineering 2020 (01.08.2020): 1–12. http://dx.doi.org/10.1155/2020/5287189.
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In order to improve the working efficiency of automated guided vehicles (AGVs) and the processing efficiency of fulfilling orders in intelligent warehouses, a novel parallel ant colony optimization algorithm for warehouse path planning is proposed. Through the interaction of pheromones among multiple subcolonies, the coevolution of multiple subcolonies is realized and the operational capability of the algorithm is improved. Then, a multiobjective function with the object of the shortest path and the minimum number of turns of the AGV is established. And the path satisfying this objective function is obtained by the proposed algorithm. In addition, the path is further smoothed by reducing the number of intermediate nodes. The results show that the stability and convergence rate of the algorithm are faster and more stable, compared to other algorithms, in generating paths for different complexity maps. The smoothing treatment of the path significantly reduces the number of turns and the path length in the AGV driving process.