Academic literature on the topic 'Manufacturing resource planning Data processing'
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Journal articles on the topic "Manufacturing resource planning Data processing"
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Yang, Peng, and Zhe Jun Zeng. "The Application of Data Warehouse in Enterprise Resource Planning." Advanced Materials Research 179-180 (January 2011): 973–77. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.973.
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Through building a data warehouse which is used to support manufacturing inventory analysis, according to the analysis theme, this paper extracted, purified and integrated the historical data which is accumulated by the enterprise in a long term and distributed in the various heterogeneous systems, and store them in the data warehouse fact table; through the establishment of the data cube, it generate the aggregated data with different particle size, as well as provide on-line analytical processing technology (OLAP), to provide users data query analysis with multi-angle, multi-granularity, visualization, which can solve many problems difficult to solve in the inventory analysis in traditional enterprise information processing systems.
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Subramanya, N., A. R. Satheesh Kumar, Vikas Yadav, and R. K. Venkatesh. "Manufacturing process planning in aerospace systems." IOP Conference Series: Materials Science and Engineering 1258, no. 1 (October 1, 2022): 012027. http://dx.doi.org/10.1088/1757-899x/1258/1/012027.
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Process planning is a task comprising a broad range of activities to design and develop an appropriate manufacturing process for producing a part. Interpretation of the part design, selection of manufacturing processes, definition of operations, operation sequences, machining datums, geometrical dimensions and tolerances are some common activities associated with the task. Manufacturing process planning can be defined as systematic determination of detailed methods by which work pieces or parts can be manufactured economically and competitively from raw material stage to final finished size. Geometrical features, dimensional sizes, tolerances, materials, and finishes, are analyzed evaluated to determine appropriate sequence of processing operations, which are based on specific, available resources viz machinery and manpower. Inputs to process planning are designing data, raw material data, resource data (machining data, tooling data, fixture data etc), quality requirement data, production type data etc. The output of a process planning is a process document which is an important document in production management. The paper mainly discusses about production planning and control of metallic manufacturing activities in an aerospace Research and Development (R&D) industry, main emphasis on manufacturing process planning. The general process planning methodology adopted in an aircraft industry is discussed. Elements and Functions of process planning, model of process planning, main mission of process planning, the interaction of processes and its process performance indices are discussed and presented. Importance of manufacturing process planning in an aerospace R&D industry is debated. Also, a case study of process planning adopted for manufacturing of a critical Aircraft system component is discussed.
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Oroh, Felix Fernando, Richardus Eko Indrajit, Eka Waras Kristianto, and Djarot Hindarto. "Kajian Enterprise Resource Planning Menggunakan COBIT 5 Pada Industri Manufaktur Pengolahan Bambu." Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi 11, no. 2 (July 29, 2022): 483. http://dx.doi.org/10.35889/jutisi.v11i2.843.
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<p><em>To support the bamboo processing manufacturing operations, this company uses the Enterprise Resource Planning Application System. Starting from sales operations, production, inventory to financial application systems, everything is controlled with Enterprise Resource Planning (ERP). The ERP system has actually been implemented for more than 1 year. The company wants to measure the performance of the system. Then measurements were made using the COBIT 5 Framework, with the aim of knowing between real conditions and targets (expectations). Of course there will be a gap or gap. The GAP is used as a measuring tool to improve ERP system services. Before analyzing the maturity level measurement using COBIT 5, first conduct a survey to obtain data. After getting the data, then assessing and determining the maturity level for Enterprise Resource Planning in bamboo processing manufacturing companies.</em></p><p><strong><em>Keywords:</em></strong><em> Enterprise Resource Planning; COBIT 5; </em><em>GAP</em><em>; Bamboo Processing Manufacturing; Maturity level</em></p><p><strong>Abstrak.</strong> Untuk memberikan dukungan terhadap operasional manufaktur pengolahan bambu, perusahaan ini menggunakan sistem aplikasi <em>Enterprise Resource Planning</em>. Mulai dari operasional penjualan, produksi, <em>inventory</em> sampai sistem aplikasi keuangan, semua dilakukan kontrol dengan <em>Enterprise Resource Planning</em> (ERP). Sistem ERP sebenarnya sudah diterapkan lebih dari 1 tahun. Perusahaan ingin melakukan pengukuran performansi dari sistem tersebut. Maka dilakukan pengukuran menggunakan <em>Framework COBIT</em> 5, dengan tujuan untuk mengetahui antara kondisi riil dengan target (harapan). Tentunya akan terjadi GAP atau kesenjangan. GAP tersebut dijadikan alat ukur untuk meningkatkan pelayanan sistem ERP. Sebelum melakukan analisa pengukuran tingkat kematangan menggunakan COBIT 5, terlebih dari dahulu melakukan survey untuk mendapatkan data. Setelah mendapatkan data kemudian melakukan penilaian dan penetapan tingkat kematangan (<em>maturity level</em>) untuk <em>Enterprise Resource Planning</em> pada perusahaan manufaktur pengolahan bambu.</p><p><strong>Kata kunci</strong><strong>:</strong> <em>Enterprise Resource Planning; COBIT 5; GAP; Manufaktur Pengolahan Bambu; Tingkat kematangan. </em><em></em></p>
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Ram Babu, D., A. Lenin, and G. B. Bhaskar. "Advanced Product Configuration in Manufacturing Using Enterprise Resource Planning Variant Configuration with Optimization in Manufacturing and Assembly Processes." Applied Mechanics and Materials 591 (July 2014): 94–97. http://dx.doi.org/10.4028/www.scientific.net/amm.591.94.
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. Variant Configuration is one of the advanced functions of the System Application and Product in data processing (SAP) business process solutions. Many enterprises, particularly from the complex production industry, can be benefited from the use of Variant Configuration. This paper demonstrates on how a product configuration is performed for a complex variable product using SAP variant configuration. The automotive pump manufacturing was as complex configurable product that involves different variants of the product. This artifact also explains on how we leverage the SAP Variant configuration functionality and achieving complex variant pump configuration with simplified solution.
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Pratama, I. Putu Agastya Harta, I. Made Sukarsa, and Gusti Agung Ayu Putri. "Reengineering of Manufacturing Business Process Utilising the Manufacturing Module of an ERP Application." Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) 9, no. 3 (October 4, 2021): 263. http://dx.doi.org/10.24843/jim.2021.v09.i03.p07.
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The significant change in the consumption pattern of Indonesia’s modernising society––further intensified by the Indonesian Government’s plan to push towards the era of the Industrial Revolution 4.0, has fostered the need for manufacturing companies to create newly automated processes and make the transition to become a digitalised business entity. Enterprise Resource Planning is a software that enables the creation of integration and automation of business processes between various departments within a company, thus creating an effective business strategy. The data that has been acquired from research at a poultry processing company are then being mapped into the ERP software of Odoo V12.0, therefore creating new sets of re-engineered business processes. There are seven newly proposed reengineering business processes––in which only concentrate on the production and technical department within the particular company, by utilising the manufacturing and maintenance modules. The re-engineered business processes are assessed using the Technology Acceptance Model theory, to measure its usability and practicality, which generates the score of Likert’s interpretation above the accepted standard of 1340 and 1227, for both the manufacturing and maintenance modules respectively.
Keywords: Business Process Reengineering, Enterprise Resource Planning, Manufacturing Process, Odoo, Technology Acceptance Model.
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Oman, Simon. "APPLICATION OF INTERMEDIATE DOCUMENT MESSAGE IN THE PROCESS OF ENTERPRISE RESOURCE PLANNING AND MANUFACTURING EXECUTING SYSTEM INTEGRATION." Problems of Management in the 21st Century 2, no. 1 (December 5, 2011): 141–56. http://dx.doi.org/10.33225/pmc/11.02.141.
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It is well established that the ERP systems represent transaction processing systems and are thus as such not suitable for controlling and monitoring the production in real time. Hence, a comprehensive solution proves the most efficient, ensuring connection between the process level, representing collection of actual measurements (cycle time, temperature, pressure, etc.), and business level which facilitates decision-making. The present paper focuses on the development of a comprehensive integration between the Enterprise Resource Planning (ERP) and Manufacturing Executing System (MES) system, which enables data refreshing in real time irrespective as to which the information system the change has been triggered in. Integration is performed on the basis of the Intermediate Document (IDoc) message, which enables data exchange between two databases. A new model of numbering is introduced for following cost-effectiveness of production activities. Said model allows for an efficient inspection and overview of the entire process from the design to implementation. Key words. enterprise resource planning, manufacturing executing system, intermediate document technology, integration.
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Niderla, Jonrad, Tomasz Rymarczyk, and Jan Sikora. "MANUFACTURING PLANNING AND CONTROL SYSTEM USING TOMOGRAPHIC SENSORS." Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8, no. 3 (September 25, 2018): 29–34. http://dx.doi.org/10.5604/01.3001.0012.5280.
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The article presents an idea of a production process control system. Advanced automation and control of production processes play a key role in maintaining competitiveness. The proposed solution consists of sensor networks for measurement process parameters, production resources and equipment state. The system uses wired and wireless communication, which gives possibility to acquisition data from existing in enterprise sensors and systems as well as acquisition data from new systems and sensors used to measure all processes, starting from production preparation to the final product. The solution contains process tomography sensors based on electrical capacitance tomography, electrical impedance tomography and ultrasound tomography. The use of tomographic methods enables to manage the intelligent structure of the companies in terms of processes and products. Industrial tomography enables observation of physical and chemical phenomena without the need to penetrate inside. It will enable the optimization and auto-optimization of design processes and production. Such solutions can operate autonomously, monitor and control measurements. All sensors return to the system continuous data about state of processes in some technologically closed objects like fermenters. Process tomography can also be used to acquisition data about a flow of liquids and loose ingredients in pipeline based on transport systems. Data acquired from sensors are collected in data warehouses in order to future processing and building the knowledge base. The results of the data analysis are showed in user control panels and are used directly in the control of the production process to increase the efficiency and quality of the products. Control methods cover issues related to the processing of data obtained from various sensors located at nodes. Monitoring takes place within the scope of acquired and processed data and parameter automation.
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Susanty, Aries, Bambang Purwanggono, and Raudina Huduni. "Assessment of Sustainability Process Using Multi-grade Fuzzy in CV. Indo Jati Utama." E3S Web of Conferences 125 (2019): 07014. http://dx.doi.org/10.1051/e3sconf/201912507014.
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The first purpose of this study calculated the sustainability index of economic, environmental, social criteria and the sustainability index of the whole manufacturing process conducted by CV. Indo Jati Utama (a wood processing manufacturer in Semarang that sells its products on an export scale). The second purpose of this study calculated the performance importance index of each indicator in each criterion. The last purpose of this study proposed some recommendations to increase the sustainability of the manufacturing process at CV Indo Jati Utama. This study uses the multi-grade fuzzy (MGF) method to calculate sustainability and performance importance index. This study used primary data, collected using questionnaires from five experts (General Manager, Department Head of Marketing, Department Head of Finance, Department Head of Production Planning and Inventory Control, and Department Head of Human Resource). The result of data processing indicated that the sustainability index of economic, environmental, and social and the whole manufacturing production process was 7.48, 7.60, 7.60, and 7.50 successively. Moreover, the result of data processing also indicated that the enterprise should increase the performance of five indicators to get more sustainable, namely, flexibility to change, environmental management, green image, employee compensation practices, and employee career development program.
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Andirfa, Mulia, and Rizka. "PENGARUH PENERAPAN SYSTEM APPLICATIONS AND PRODUCTS IN DATA PROCESSING TERHADAP KINERJA MANAJERIAL (STUDI KASUS PT PUPUK ISKANDAR MUDA LHOKSEUMAWE)." Jurnal Penelitian Ekonomi Akuntansi (JENSI) 4, no. 2 (December 4, 2020): 198–209. http://dx.doi.org/10.33059/jensi.v4i2.3023.
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This study aims to determine the effect of the application of System Application and Product in Data Processing on managerial performance at PT Pupuk Iskandar Muda Lhokseumawe, the use of accounting information system information technology is very important in its role in a company, Enterprise Resource Planning with its Software Application Systems and Products in Data Processing widely used by manufacturing companies that can improve the efficiency of the accounting information system that results in effective and efficient management performance, this study uses a descriptive approach, quantitative associative form, using primary data, sampling techniques used probability sampling with random sampling methods with the sample object is 55 employees of PT Pupuk Iskandar Muda. The results showed that the application of System Application and Product in Data Processing had a positive and significant effect on managerial performance at PT Pupuk Iskandar Muda, this was seen from the results of tcount> ttable (2.585> 1.67) and the coefficient of determination of 63.2% which shows that managerial performance is influenced by the application of System Applications and Products in data processing, while 36.8% is influenced by other factors outside this study.
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Herman, Herman. "Functionalization of Management Elements in Managing Thriving Education Units in Madrasah Aliyah." AL-ISHLAH: Jurnal Pendidikan 14, no. 2 (June 8, 2022): 1919–32. http://dx.doi.org/10.35445/alishlah.v14i2.1843.
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The head of the madrasah as a top manager and leader has the obligation and responsibility to functionalize the elements of management in managing the education unit. The purpose of this study was to find out how to functionalize the elements of management in managing the thriving education unit at MAN 1 West Aceh. This study uses a descriptive qualitative analysis approach in revealing factual conditions related to ways of functionalizing the elements of management in managing a thriving education unit. The method of collecting data is through observation, interviews, and document studies on reports on madrasah activities. Data processing techniques by means of data verification, data presentation, data reduction, and drawing conclusions from research results. The technique of analyzing research data is by reflecting, interpreting and planning actions on the research results. The results show that MAN 1 West Aceh has been classified as good in terms of how to functionalize management elements in managing educational units, including: 1) functionalizing elements of human resources (man), by planning human resource needs, developing human resources and managing human resources, 2) functionalizing the financial element (money) by following the budget preparation procedures, using the budget, monitoring and reporting the budget, 3) functionalizing the elements of facilities and infrastructure (materials) by planning educational facilities and infrastructure, utilizing educational facilities and infrastructure and supervising educational facilities and infrastructure as well as 4) functionalizing the education marketing element by marketing educational service products, promoting educational services and marketing the educational service process.
Dissertations / Theses on the topic "Manufacturing resource planning Data processing"
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Schlechter, E. J. (Emile Johan). "Manufacturing intelligence : a dissemination of intelligent manufacturing principles with specific application." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52927.
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Thesis (MEng)--University of Stellenbosch, 2002.ENGLISH ABSTRACT: Artificial intelligence has provided several techniques with applications in manufacturing. Knowledge based systems, neural networks, case based reasoning, genetic algorithms and fuzzy logic have been successfully employed in manufacturing. This thesis will provide the reader with an introduction and an understanding of each of these techniques (Chapter 2 & 3). The intelligent manufacturing process can be a complex one and can be decomposed into several components: intelligent design, intelligent process planning, intelligent quality management, intelligent maintenance and diagnosis, intelligent scheduling and intelligent control. This thesis will focus on how each of the artificial intelligence techniques can be applied to each of the manufacturing process fields. Chapter 5 Chapter 6 Chapter 7 Knowledge based systems Neural networks Fuzzy logic Case based reasoning Genetic algorithms Chapter 8 Chapter 9 Chapter 10 Manufacturing intelligence can be approached from two main directions: theoretical research and practical application. Most of the concepts, methods and techniques discussed in this thesis are approached from a theoretical research point of view. This thesis is also aimed at providing the reader with a broader picture of manufacturing intelligence and how to apply the intelligent techniques, in theory. Specific attention will be given to intelligent scheduling as an application (Chapter 11). The application will demonstrate how case based reasoning can be applied in intelligent scheduling within a small manufacturing plant.
AFRIKAANSE OPSOMMING: Kunsmatige intelligensie bied 'n verskeidenheid tegnieke en toepassings in die vervaardigingsomgewing. Kennis baseerde sisteme, neurale netwerke, gevalle basseerde redenasie, generiese algoritmes en wasige logika word suksesvol in die vervaardigingsopset toegepas. Dié tesis gee die leser 'n inleiding en basiese oorsig van metodes om elk van die tegnieke te gebruik (hoofstuk 2 & 3). Die intelligente vervaardigingproses is 'n komplekse proses en kan afgebreek word in verskeie komponente: intelligente ontwerp, intelligente prosesbeplanning, intelligente gehaltebestuur, intelligente onderhoud en diagnose, intelligente kontrole en intelligente skedulering. Hierdie tesis sal fokus op hoe elk van die kunsmatige intelligente tegnieke op elk van die vervaardigingprosesvelde toegepas kan word. Hoofstuk 5 Hoofstuk 6 Hoofstuk 7 Kennis gebaseerde sisteme Wasige logika Neurale netwerke Gevalle baseerde redenasie Generiese algoritmes Hoofstuk 8 Hoofstuk 9 Hoofstuk 10 Vervaardigingsintelligensie kan vanuit twee oogpunte benader word, naamlik 'n teoretiese ondersoek en 'n praktiese aanslag. Die meeste van hierdie konsepte, metodes en tegnieke word in hierdie tesis vanuit 'n teoretiese oogpunt benader. Die tesis is daarop gerig om die leser 'n wyer perspektief te gee van intelligente vervaardiging en hoe om die intelligente tegnieke, in teorie, toe te pas. Spesifieke aandag sal gegee word aan intelligente skedulering as 'n toepassing (Hookstuk 11). Die toepassing sal demonstreer hoe gevalle baseerde redenasie toegepas kan word in intelligente skedulering.
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蕭世良 and Sai-leung Siu. "A knowledge based process planning system for prismatic parts." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31232784.
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Rowe, Mark R. "A methodology for semantic unification of capp and MRP II data models." Ohio University / OhioLINK, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1178045586.
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Cheung, Hoi-hoi, and 張凱凱. "A multi-material virtual prototyping system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29727716.
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楊淸好 and Qinghao Yang. "Design of an integrated CAD/CAPP system using spatial and graphic decomposition algorithm." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31239602.
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Indrakanti, Saratchandra. "Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804902/.
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POD (Point of Dispensing)-based emergency response plans involving mass prophylaxis may seem feasible when considering the choice of dispensing points within a region, overall population density, and estimated traffic demands. However, the plan may fail to serve particular vulnerable sub-populations, resulting in access disparities during emergency response. Federal authorities emphasize on the need to identify sub-populations that cannot avail regular services during an emergency due to their special needs to ensure effective response. Vulnerable individuals require the targeted allocation of appropriate resources to serve their special needs. Devising schemes to address the needs of vulnerable sub-populations is essential for the effectiveness of response plans. This research focuses on data-driven computational methods to quantify and address vulnerabilities in response plans that require the allocation of targeted resources. Data-driven methods to identify and quantify vulnerabilities in response plans are developed as part of this research. Addressing vulnerabilities requires the targeted allocation of appropriate resources to PODs. The problem of resource allocation to PODs during public health emergencies is introduced and the variants of the resource allocation problem such as the spatial allocation, spatio-temporal allocation and optimal resource subset variants are formulated. Generating optimal resource allocation and scheduling solutions can be computationally hard problems. The application of metaheuristic techniques to find near-optimal solutions to the resource allocation problem in response plans is investigated. A vulnerability analysis and resource allocation framework that facilitates the demographic analysis of population data in the context of response plans, and the optimal allocation of resources with respect to the analysis are described.
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Thomas, Maricelle Casquejo. "A study of strategies for successful enterprise resource planning implementation in a merger and acqusition environment." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3267.
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This project will be focusing on the business problem of integrating information systems within a M & A organization, in this case to a SAP platform. SAP is the platform the parent company uses to run its corporate business functions.
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Chandiwana, Takauya. "An assessment of citizen benefits of enterprise resource planning systems in municipalities." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/1364.
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Thesis submitted in fulfilment of the requirements for the degree
Master of Technology INFORMATION TECHNOLOGY
in the Faculty of INFORMATICS AND DESIGN
at the Cape Peninsula University of Technology
2013In this information age, Enterprise Resource Planning (ERP) system implementation simplifies complexities within organisational heterogeneous Information Systems (IS). Following the early era of computerisation, ERP systems were designed to provide a formal integration of the whole enterprise with a business focussed approach to the application of Information and Communication Technology (ICT). With the advent of ERP systems, organisations in industry have invested substantially in these systems to assist and augment their ability to form more effective management of their resources across corporate walls and business functions through an integration of information and operations. In the public sector, governments at all levels have also turned to ERP systems to address their needs. As such, ERP implementation has become a new solution that many public institutions are venturing into, based on the evidence of benefits in the commercial sector. However, in the public sector, ERP systems should not be focussed on just internal organisational benefits. Due cognisance must be given, during design and implementation, to the citizen, who is the key public sector beneficiary. The benefits from ERP systems implementation and utilisation are well researched and documented by various scholars. However research has mainly focused on the private sector. Given the growing importance of ERP systems in the public sector it has become imperative to advance understanding in the arena of government with regards to public ERP system implementation and utilisation. Thus, an important question that warrants investigation is: ―What are the benefits for the citizen when ERP systems are implemented by municipalities?‖ The empirical work reported in this research investigated, via an in-depth case study, how the citizen benefits from ERP implementations in municipalities. Fifteen respondents, who are employees the City of Cape Town Municipality, were interviewed. Their interview transcripts, together with the other supporting documents they supplied and information from the City‘s website, were analysed through hermeneutical analysis. The analysis of the data was facilitated by the use of Atlas.ti, a computer-aided qualitative analysis software tool. Four key findings emanated from the analysis. Indirect ERP-system benefits: The benefits in this category denoted those benefits that are generically found in any ERP system regardless of it being implemented in a private or public enterprise setup. Direct citizen benefits: These are the benefits that are noticeable and directly extended to the citizens even without the knowledge of the existence of the ERP system. Effective ERP system benefits management: This finding elaborated how the ERP system can be sustainably managed to ensure that it delivers maximum benefits to the citizens in a long term. Efficient and effective use of public money: This finding explained the outcomes of utilising the ERP system, specifically in public enterprises, such as municipalities. The findings of this study are important in that they would assist to articulate and improve the business cases when municipalities commence with planning for ERP system acquisition. This is especially important given the high cost related to ERP system implementation. More importantly, the findings provide a basis for the identification of citizen benefits which are related to ERP system implementation. This provides municipal management a frame within which to improve the on-going management of ERP systems. The findings thus support improved ERP system benefits management and which would in turn ensure improved service delivery to the citizenry.
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Moleli, Moletsane Tarcisius. "Reduction of the causes of stock-outs in ERP supply chain management by prioritization of the causes : a case study at the City of Cape Town." Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2725.
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Thesis (MTech (Business Information Systems))--Cape Peninsula University of Technology, 2018.Enterprise resource planning (ERP) systems have a good reputation for automation and strength in the integration of business processes (BPs), therefore more and more organisations are adopting ERP systems. The City of Cape Town (CCT), a metropolitan municipality, is one of the organisations that have adopted an ERP system. CCT provides a wide range of services to residents and citizens in the Western Cape Province of South Africa. The ERP system at CCT manages the Supply Chain Management (SCM) processes, among others, to ensure good service delivery. ERP systems are able to provide statistical reports on stock-outs; however, the information provided is insufficient to link a specific stock-out to its causes within the SCM process at CCT. This makes it difficult to select the most appropriate solution to minimise the causes and number of stock-outs. The study aims to explore the possible reduction of the causes of stock-outs at CCT stores, therefore the study has adopted a qualitative research methodology with a case study research strategy. It uses subjectivism to understand the truth, with an inductive approach applied to five different interviewee groups, namely the ERP Support Department consultants, the Procurement Department, the Inventory and Stores Management Department, the Master Data Maintenance Department, and the reservation creators. A purposive sampling method is used because the study targets knowledge and experience on the subject from the interviewees in the investigation of the problem. The case is the SCM division at CCT, the unit of analysis is the CCT stores, and the unit of observation is the employees who work for the SCM division of CCT. All ethical procedures and policies of the Cape Peninsula University of Technology (CPUT) are adhered to. For the data collection, in depth semi-structured questions have been developed, and the data were analysed using thematic analysis. The leading causes of stock-outs were discovered by analysing the themes. The results revealed the themes, in descending order according to the causes of stock-outs, as follows: procedures, service delivery, suppliers, stock-outs, human resources, and systems. All the objectives were achieved, thereby answering the research questions.
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陳頌富 and Chung-fu Leslie Chan. "Machining process selection and sequencing under conditions of uncertainty." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31214927.
Full textBooks on the topic "Manufacturing resource planning Data processing"
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Greiman, John D. Computerized manufacturing resource planning. Blue Ridge Summit, PA: TAB Professional and Reference Books, 1986.
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Blazejak, Jack. Quality resource planning: How to integrate and automate your quality management system. Frankfort, Ill: Elemental Publications, 1998.
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Enhancing enterprise intelligence: Leveraging ERP, CRM, SCM, PLM, BPM, and BI. Boca Raton: Taylor & Francis, 2016.
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Orlicky, Joseph. Orlicky's material requirements planning. 2nd ed. New York: McGraw-Hill, 1994.
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1971-, Smith Chad, and Orlicky Joseph, eds. Orlicky's material requirements planning. 3rd ed. New York: McGraw-Hill, 2011.
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Quality management system implementation: A handbook for product development companies. Boca Raton, Fla: CRC Press, 2005.
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The right choice: A complete guide to evaluating, selecting, and installing MRP II software. Essex Junction, VT: O. Wight Ltd. Publications, 1987.
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Software and the agile manufacturer: Computer systems and world class manufacturing. Portland, Ore: Productivity Press, 1994.
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Managing your supply chain using Microsoft Axapta. New York: McGraw-Hill, 2004.
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The executive's guide to successful MRP II. New York: Wiley, 1993.
Find full textBook chapters on the topic "Manufacturing resource planning Data processing"
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Framinan, Jose M., and Jose M. Molina. "An Overview of Enterprise Resource Planning for Intelligent Enterprises." In Information Resources Management, 100–108. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-965-1.ch106.
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Enterprise resource planning systems can be defined as customizable, standard application software which includes integrated business solutions for the core processes and administrative functions (Chan & Rosemann, 2001). From an operative perspective, ERP systems provide a common technological platform unique for the entire corporation allowing the replacement of mainframes and legacy systems. This common platform serves to process automation as well as to simplify current process either by an explicit reengineering process or by the implicit adoption of the system “best practices” (Markus & Tanis, 2000). Finally, the common centralized platform allows the access to data that previously were physically or logically dispersed. The automation of the processes and the access to data allows the reduction of operating times (thus reducing operating costs) while the latter serves to a better support of business decisions (see e.g., Umble, Haft & Umble, 2003 for a detailed review of ERP benefits). ERP is considered to provide businesses with new opportunities to acquire knowledge (Srivardhana & Pawlowski, 2007), being the sources of knowledge the aforementioned best practices from the ERP, and the ERP software company’s staff during the implementation phase. At present, ERP systems are either used or implemented in a large number of enterprises. According to Genoulaz and Millet (2006), up to 74% of manufacturing companies and up to 59% of service companies use an ERP system. In addition, more than 70% of Fortune 1000 companies have implemented core ERP applications (Bingi, Sharma, Godla, 1999; Yen, Chou & Chang, 2002). The objectives for implementing an ERP system can be classified as operational, strategic, dual (operational plus strategic), or without objective (Law & Ngai, 2007). The adoption of an ERP system with operational objectives is aimed at improvement operating efficiency together with the reduction of costs, while companies implementing ERP with a strategic objective would experience a change in business processes, improving sales and market expansion. A widespread critique to ERP systems is their high total cost of ownership (Al-Mashari, Al-Mudimigh & Zairi, 2003) and hidden costs in implementation (Kwon & Lee, 2001). Besides, ERP systems impose their own logic on an organization’s strategy and culture (Davenport, 1998), so ERP adopters must adapt their business processes and organization to these models and rules. Consequently, organizations may face difficulties through this adaptation process which is usually carried out without widespread employee involvement. This may cause sore employees, sterile results due to the lack of critical information usually provided by the employees; and also late delivery, with reduced functionality, and/or with higher costs that expected (Kraemmeraard, Moeller & Boer, 2003). Additionally, some analysts have speculated that widespread adoption of the same ERP package in the same industry might lead to loss of competitive advantage due to the elimination of process innovation-based competitive advantage (Davenport, 1998). This has been observed, for instance, in the semiconductor manufacturers sector (Markus & Tanis, 2000). The early stage of ERP was carried out through Materials Requirement Planning (MRP) systems (Umble, Haft & Umble, 2003). The next generation of these systems, MRP II (Manufacturing Resources Planning), crossed the boundaries of the production functionality and started supporting not only manufacturing, but also finance and marketing decisions (Ptak & Schragenheim, 2000). Current ERP systems appeared in the beginning of the 1990’s as evolved MRP II, incorporating aspects from CIM (Computer Integrated Manufacturing) as well as from EDP (Electronic Data Processing). Therefore, ERP systems become enterprise-wide, multilevel decision support systems. ERP systems continue evolving, incorporating Manufacturing Execution Systems (MES), Supply Chain Management (SCM), Product Data Management (PDM), or Geographic Information Systems (GIS), among others (Kwon & Lee, 2001).
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Framinan, Jose M., and Jose M. Molina. "An Overview of Enterprise Resource Planning for Intelligent Enterprises." In Business Information Systems, 60–68. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-969-9.ch005.
Full textAbstract:
Enterprise resource planning systems can be defined as customizable, standard application software which includes integrated business solutions for the core processes and administrative functions (Chan & Rosemann, 2001). From an operative perspective, ERP systems provide a common technological platform unique for the entire corporation allowing the replacement of mainframes and legacy systems. This common platform serves to process automation as well as to simplify current process either by an explicit reengineering process or by the implicit adoption of the system “best practices” (Markus & Tanis, 2000). Finally, the common centralized platform allows the access to data that previously were physically or logically dispersed. The automation of the processes and the access to data allows the reduction of operating times (thus reducing operating costs) while the latter serves to a better support of business decisions (see e.g., Umble, Haft & Umble, 2003 for a detailed review of ERP benefits). ERP is considered to provide businesses with new opportunities to acquire knowledge (Srivardhana & Pawlowski, 2007), being the sources of knowledge the aforementioned best practices from the ERP, and the ERP software company’s staff during the implementation phase. At present, ERP systems are either used or implemented in a large number of enterprises. According to Genoulaz and Millet (2006), up to 74% of manufacturing companies and up to 59% of service companies use an ERP system. In addition, more than 70% of Fortune 1000 companies have implemented core ERP applications (Bingi, Sharma, Godla, 1999; Yen, Chou & Chang, 2002). The objectives for implementing an ERP system can be classified as operational, strategic, dual (operational plus strategic), or without objective (Law & Ngai, 2007). The adoption of an ERP system with operational objectives is aimed at improvement operating efficiency together with the reduction of costs, while companies implementing ERP with a strategic objective would experience a change in business processes, improving sales and market expansion. A widespread critique to ERP systems is their high total cost of ownership (Al-Mashari, Al-Mudimigh & Zairi, 2003) and hidden costs in implementation (Kwon & Lee, 2001). Besides, ERP systems impose their own logic on an organization’s strategy and culture (Davenport, 1998), so ERP adopters must adapt their business processes and organization to these models and rules. Consequently, organizations may face difficulties through this adaptation process which is usually carried out without widespread employee involvement. This may cause sore employees, sterile results due to the lack of critical information usually provided by the employees; and also late delivery, with reduced functionality, and/or with higher costs that expected (Kraemmeraard, Moeller & Boer, 2003). Additionally, some analysts have speculated that widespread adoption of the same ERP package in the same industry might lead to loss of competitive advantage due to the elimination of process innovation-based competitive advantage (Davenport, 1998). This has been observed, for instance, in the semiconductor manufacturers sector (Markus & Tanis, 2000). The early stage of ERP was carried out through Materials Requirement Planning (MRP) systems (Umble, Haft & Umble, 2003). The next generation of these systems, MRP II (Manufacturing Resources Planning), crossed the boundaries of the production functionality and started supporting not only manufacturing, but also finance and marketing decisions (Ptak & Schragenheim, 2000). Current ERP systems appeared in the beginning of the 1990’s as evolved MRP II, incorporating aspects from CIM (Computer Integrated Manufacturing) as well as from EDP (Electronic Data Processing). Therefore, ERP systems become enterprise-wide, multilevel decision support systems. ERP systems continue evolving, incorporating Manufacturing Execution Systems (MES), Supply Chain Management (SCM), Product Data Management (PDM), or Geographic Information Systems (GIS), among others (Kwon & Lee, 2001).
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Cecelja, Franjo. "Manufacturing resource planning systems." In Manufacturing Information and Data Systems, 79–100. Elsevier, 2002. http://dx.doi.org/10.1016/b978-185718031-2/50004-9.
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Akhtar Hasin, M. Ahsan, and P. C. Pandey. "Database Systems in Manufacturing Resource Planning." In Database and Data Communication Network Systems, 417–96. Elsevier, 2002. http://dx.doi.org/10.1016/b978-012443895-8/50014-3.
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Pandey, Suraj, and Rajkumar Buyya. "A Survey of Scheduling and Management Techniques for Data-Intensive Application Workflows." In Enterprise Resource Planning, 1170–90. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4153-2.ch066.
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This chapter presents a comprehensive survey of algorithms, techniques, and frameworks used for scheduling and management of data-intensive application workflows. Many complex scientific experiments are expressed in the form of workflows for structured, repeatable, controlled, scalable, and automated executions. This chapter focuses on the type of workflows that have tasks processing huge amount of data, usually in the range from hundreds of mega-bytes to petabytes. Scientists are already using Grid systems that schedule these workflows onto globally distributed resources for optimizing various objectives: minimize total makespan of the workflow, minimize cost and usage of network bandwidth, minimize cost of computation and storage, meet the deadline of the application, and so forth. This chapter lists and describes techniques used in each of these systems for processing huge amount of data. A survey of workflow management techniques is useful for understanding the working of the Grid systems providing insights on performance optimization of scientific applications dealing with data-intensive workloads.
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Yang, Sharon Q., and Amanda Xu. "Applying Semantic Web Technologies to Meet the Relevant Challenge of Customer Relationship Management for the U.S. Academic Libraries in the 21st Century Using 121 e-Agent Framework." In Enterprise Resource Planning, 737–64. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4153-2.ch044.
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The main contributions of the chapter are 1) defining relevance challenge of CRM for U.S. academic libraries in the 21st century and applying social Semantic Web technologies to address the relevance challenge of CRM using 121 e-Agent framework in the Web as an infrastructure; 2) binding OLTP, OLAP, and Online Ontological Processing to social Semantic Web applications in CRM; 3) adding trust management to the linked data layer with a touch of tagging, categorizing, query log analysis, and social ranking as part of the underlying structure for distributed customer data filtering on the Web in CRM applications; 4) making the approach extensible to address relevance challenge of CRM in other fields.
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Gwangwava, Norman, Khumbulani Mpofu, and Samson Mhlanga. "Big Data and Data Modelling for Manufacturing Information Systems." In Big Data, 116–38. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9840-6.ch007.
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The evolving Information and Communication Technologies (ICTs) has not spared the manufacturing industry. Modern ICT based solutions have shown a significant improvement in manufacturing industries' value stream. Paperless manufacturing, evolved due to complete automation of factories. The chapter articulates various Machine-to-Machine (M2M) technologies, big data and data modelling requirements for manufacturing information systems. Manufacturing information systems have unique requirements which distinguish them from conventional Management Information Systems. Various modelling technologies and standards exist for manufacturing information systems. The manufacturing field has unique data that require capturing and processing at various phases of product, service and factory life cycle. Authors review developments in modern ERP/CRM, PDM/PLM, SCM, and MOM/MES systems. Data modelling methods for manufacturing information systems that include STEP/STEP-NC, XML and UML are also covered in the chapter. A case study for a computer aided process planning system for a sheet metal forming company is also presented.
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Annamalai, C., and T. Ramayah. "Reengineering for Enterprise Resource Planning (ERP) Systems Implementation." In Information Systems Reengineering for Modern Business Systems, 185–200. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0155-0.ch009.
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Reengineering is a concept that is applicable to all industries, particularly information and communication technology (ICT) projects regardless of organizational type, size, culture, or location. The enterprise resource planning (ERP) system frequently requires organizations to change their existing business processes to harmonize them its functional activities. 72% of the ERP implementation failures reported worldwide (Eric, 2010) because of the various critical success factors (CSFs). A Critical Success Factor (CSF) is defined as a factor needed to implement ERP system successfully. Assessing the importance of CSFs of Enterprise Resource Planning systems has always remained an important concern for academicians and researchers. This study explores and assesses the CSFs affecting the ERP implementation success. Long term Top management Support (LTS), Perceived ERP benefits (PEB), ERP in-house Training (EIT), Project Tracking (PTG), Visible Project Phases (VPP), Project Phase Update (PPU), Interdepartmental Cooperation (IDP), Strategic IT planning (STP), ERP vendor Support (EVS), and Data Analysis and Conversion (DAC) were found dominant critical factors for the success of the ERP implementation in the manufacturing sector. This study investigates how many CSFs are strongly correlated with each other for the success of ERP projects in the manufacturing sector. Furthermore, this study also tests empirically using the Statistical Package for Social Science Analysis of Moment on Structures (SPSS AMOS 18.0) to justify the level of CSFs among the local and joint-venture companies using a t-test analysis.
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Gwangwava, Norman, Khumbulani Mpofu, and Samson Mhlanga. "Big Data and Data Modelling for Manufacturing Information Systems." In Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, 266–88. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8505-5.ch013.
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The evolving Information and Communication Technologies (ICTs) has not spared the manufacturing industry. Modern ICT based solutions have shown a significant improvement in manufacturing industries' value stream. Paperless manufacturing, evolved due to complete automation of factories. The chapter articulates various Machine-to-Machine (M2M) technologies, big data and data modelling requirements for manufacturing information systems. Manufacturing information systems have unique requirements which distinguish them from conventional Management Information Systems. Various modelling technologies and standards exist for manufacturing information systems. The manufacturing field has unique data that require capturing and processing at various phases of product, service and factory life cycle. Authors review developments in modern ERP/CRM, PDM/PLM, SCM, and MOM/MES systems. Data modelling methods for manufacturing information systems that include STEP/STEP-NC, XML and UML are also covered in the chapter. A case study for a computer aided process planning system for a sheet metal forming company is also presented.
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"Moving Ahead With Enterprise Resource Planning Systems in Civil Construction." In Advances in Business Information Systems and Analytics, 150–69. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5291-9.ch006.
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Commerce and trade around the world require cutting edge tools and business process systems to stay competitive. All around us, this is manifested in how industries—big or small—conduct businesses and adopt new manufacturing and business systems to remain profitable. During the mid-20th century, businesses in the Western world began to adopt material requirements planning to streamline production processes till the finished product. While material requirements planning itself, at that point of time, was not unheard of, the introduction of computers and information technology revolutionised the way material requirements planning was adopted. Researchers and proponents of an integrated information system agree that material requirements planning predated enterprise resource planning (ERP) that has since been a central theme and prime mover of all information and data within organizations.
Conference papers on the topic "Manufacturing resource planning Data processing"
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Xie, Da, Jiang Zhu, and Tomohisa Tanaka. "Graph-Based Feature Recognition and Combination Method for Automatic Process Planning System." In JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/lemp2020-8516.
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Abstract Generating the Numerical Control (NC) tool path for machining a complex shaped component is highly dependent on the proficiency of a Computer-Aided Manufacturing (CAM) programmer in manufacturing field, although the CAM systems now are highly integrated. A Computer-Aided Process Planning (CAPP) system, which can automatically extract the manufacturing features from the Computer-Aided Design (CAD) model and generate the machining process planning, has been expected for a long time. In this research, a graph-based CAPP system was proposed. It mainly includes four modules, data conversion module, feature classification module, feature combination module and process planning module. The first two modules claim a graph-based feature recognition method, output the recognized manufacturing features which are classified into four classes and defined as specific types. The feature combination module generates different paths to combine manufacturing features from a goal model into raw material shape by four kinds of combination methods corresponding to the four classes. Finally, the process planning module will give a cost estimation of all those paths with the consideration of manufacturing resources and time cost. A relatively optimized machining method and machining sequence will be generated as the output of this proposed system.
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Dababneh, Fadwa, Rahul Shah, Zeyi Sun, and Lin Li. "Framework and Sensitivity Analysis of Joint Energy and Maintenance Planning Considering Production Throughput Requirements." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2936.
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As the U.S. manufacturing sector becomes more and more competitive, manufactures are seeking to adopt more cost and resource efficient operation practices. Several research studies that optimize production, maintenance, and energy have been conducted. However, research integrating them all in one model is less developed. In this paper, we present a framework on joint maintenance and energy planning while considering production throughput target and buffer constraints. The problem considers a Time-of-Use (TOU) demand response program such that the cost of production, energy, and maintenance is reduced. A sensitivity analysis considering the effect of production system parameters, such as machine rated power, machine production rate, number of maintenance crew resources, etc., on the cost per part is conducted. In addition, the sensitivity due to varying the individual unit costs incurred from production throughput, power demand, and maintenance is investigated. This study can guide manufacturers and researchers in determining the value of using such joint methods. Furthermore, the sensitivity analysis considering joint energy and maintenance can aid manufacturers and researchers in data acquisition so that the most sensitive parameters are given priority, help identify which controllable parameters have the largest impact on the system performance; and determine which parameters are most impactful.
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Gernhardt, Benjamin, Tobias Vogel, Lihui Wang, and Matthias Hemmje. "Implementation of a Knowledge-Based Production Planning Including a Direct Manipulative Process Editor and a Mediator Architecture." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-3006.
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Today, in the era of modern Intelligent Production Environments (IPE) and Industry 4.0, the manufacturing of a product takes place in various partial steps and these mostly in different locations, potentially distributed all over the world. The producing companies must assert in the global market and always find new ways to cut costs by saving tax, changing to the best providers, and by using the most efficient and fastest production processes. Furthermore, they must be inevitably based on a cloud-based repository and distributed architectures to make data and information accessible everywhere as well as development processes and knowledge available for a worldwide cooperation. A so called Collaborative Adaptive (Production) Process Planning (CAPP) can be supported by semantic approaches for knowledge representation and management as well as knowledge sharing, access, and re-use in a flexible and efficient way. In this way, to support CAPP scenarios, semantic representations of such knowledge integrated into a machine-readable process formalization is a key enabling factor for sharing in cloud-based knowledge repositories. This is especially required for, e.g., Small and Medium Enterprises (SMEs). When SMEs work together on a production planning for a joint product, they exchange component production and manufacturing change information between different planning subsystems. These exchanges are mostly based on the already well-established Standard for the Exchange of Product model data (STEP), not least to obtain a computer-interpretable representation. Moreover, so-called Function Block (FB) Domain Models could support these planning process. FBs serve as a high-level planning-process knowledge-resource template and to the representation of knowledge. Furthermore, methodologies are required, which based on process-oriented semantic knowledge-representation, such as Process-oriented Knowledge-based Innovation Management (German: Wissens-basiertes Prozess-orientiertes Innovations Management, WPIM). WPIM is already a web- and cloud-based tool suites and can represent such planning processes and their knowledge resources and can therefore be used to support the integration and the management of distributed CAPP knowledge in Manufacturing Change Management (MCM), as well as its access and re-use. That is also valid for Assembly-, Logistics- and Layout Planning (ALLP). On the one hand, a collaborative planning in a machine-readable and integrated representation will be possible as well as an optimization for mass production. On the other hand, within a cloud-based semantic knowledge repository, that knowledge can be shared with all partners and contributors. To combine all these functionalities, in 2016 we have already introduced a method, called Knowledge-based Production Planning (KPP). We outlined the theoretical advantages of integrating CAPP with Collaborative Manufacturing Change Management (CMCM) in the last year at MSEC16. In this Paper, we will demonstrate our first implementations of the KPP application with an integrated visual direct manipulative process editor as well as a first prototype of our mediator architecture with a semantic integration including a query library based on the KPP ontology.
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Antani, Kavit, Alireza Madadi, Mary E. Kurz, Laine Mears, Kilian Funk, and Maria E. Mayorga. "Robust Work Planning and Development of a Decision Support System for Work Distribution on a Mixed-Model Automotive Assembly Line." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7350.
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Line balancing is a very resource-intensive and time consuming process which is highly reliant on the experience and expertise of a few employees. Line balancing is made even more complex due to the high level of option content in premium automobiles. The current phase of this study involves hands-on training on the automotive assembly line, precedence relationship mapping of all the tasks involved on a pilot assembly line, identification of constraints, and development of a strategy to manage option content and constraints. The second phase will include the generation of an optimal line balance through optimization on expected station utilization. The current line balancing process relies significantly on the experience level of the utility workers and team leaders. Although initially labor intensive, the precedence mapping exercise and option coding strategy will facilitate the development of a decision support system to aid the human decision-maker in making data-driven decisions about work distribution.
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Guerreiro, Guilherme, Paulo Figueiras, Ruben Costa, Maria Marques, Diogo Graça, Gisela Garcia, and Ricardo Jardim-Gonçalves. "A Digital Twin for Intra-Logistics Process Planning for the Automotive Sector Supported by Big Data Analytics." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11362.
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Abstract One of the areas that can heavily benefit with Industry 4.0 is the logistics, namely with the association of sensing technologies and the application of techniques such as Big Data Analytic, Data Visualization, prediction algorithms, and especially 3D simulation. The association of real data, prediction techniques, and 3D models, allow the creation of realistic Digital Twins that emulate factory processes, making possible the experimentation and testing of new ideas and different scenarios by tweaking key variables, without stopping production. However, there are many challenges in order to handle and compute all fast-growing, multi dimension data generated, so that all this production related data can be quickly used for defect control, preventive maintenance, advanced analytics for production and resources management, or even later simulation. The work presented in this paper focus in this “in between” processing work, presenting an easily deployable and self-reconfigurable Big Data architecture, where different technologies can work together to extract, transform, load, apply analytics, and then feed a 3D Digital Simulation model. The work presented in this paper is funded by the EU project BOOST4.0 and focus in a specific logistic process of car manufacturing.
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Iegorchenkov, Oleksii, and Nataliia Yehorchenkova. "Product-resource planning system." In 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP). IEEE, 2016. http://dx.doi.org/10.1109/dsmp.2016.7583501.
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Guzairov, Murat, Nafissa Yussupova, and Dmitry Rizvanov. "Intelligent Data Processing Technologies for Resource Management in Manufacturing Scheduling." In Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/csit-19.2019.43.
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Kiritsis, Dimitris, and Paul Xirouchakis. "Manufacturing Resource Modeling With Petri Nets." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/cie-9126.
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Abstract The problem under consideration is the modeling of manufacturing resources like machine tools, setups and tools which affect the cost and batch delivery time estimation of machined parts. The proposed resource models are built upon Petri net models for process planning and scheduling with three methods: (i) an implicit modeling method where resources are modeled as a data structure which acts on a specific Process Planning Petri net (PP-net), (ii) a first explicit modeling method where resources, are modeled as separated Petri nets whose places are connected to PP-net transitions with adequate arcs and form a Process Planning Cost System (PPC-system) and (iii) a second explicit modeling method where a two-level Petri net model is proposed which allows the modular modeling of process plans and resources. In the later case, integration is achieved through an synchronization mechanism. The first two methods are used for the cost estimation of process plans of unique parts while the third one is used for delivery time and cost estimation of a batch of machined parts.
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Ye, Jun-jun, Jiang Guo, and Yin-biao Guo. "Research on path planning and data processing system for high-precision aspheric measurement." In 3rd International Symposium on Advanced Optical Manufacturing and testing technologies: Optical test and Measurement Technology and Equipment, edited by Junhua Pan, James C. Wyant, and Hexin Wang. SPIE, 2007. http://dx.doi.org/10.1117/12.783800.
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Leochico, Kester, and Eugene John. "Evaluating Cloud Auto-Scaler Resource Allocation Planning Under High-Performance Computing Workloads." In 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2020. http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00147.
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