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Journal articles on the topic 'Manufacturing methodology'

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Author: Grafiati
Published: 14 July 2022

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1

Ahmad, Mohammad Munir. "Assessment Methodology for Competitive Manufacturing." Procedia Manufacturing 17 (2018): 843–51. http://dx.doi.org/10.1016/j.promfg.2018.10.136.

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2

RIBEIRO, J. F. FERREIRA, and B. PRADIN. "A methodology for cellular manufacturing design." International Journal of Production Research 31, no. 1 (January 1993): 235–50. http://dx.doi.org/10.1080/00207549308956723.

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3

Solodukhin, Ya A. "Design methodology for discrete manufacturing technologies." Cybernetics and Systems Analysis 34, no. 1 (January 1998): 97–109. http://dx.doi.org/10.1007/bf02911267.

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4

Doumeingts, Guy, Bruno Vallespir, Didier Darricau, and Michel Roboam. "Design methodology for advanced manufacturing systems." Computers in Industry 9, no. 4 (December 1987): 271–96. http://dx.doi.org/10.1016/0166-3615(87)90102-3.

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5

Rist, Thomas, Róbert Debnár, and Jozef Krišťák. "A Methodology for Cellular Manufacturing Design." Communications - Scientific letters of the University of Zilina 2, no. 1 (March 31, 2000): 39–44. http://dx.doi.org/10.26552/com.c.2000.1.39-44.

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6

MORIWAKI, Toshimichi. "Special Issue on Research Methodology. Research and Methodology for Manufacturing Equipment." Journal of the Japan Society for Precision Engineering 60, no. 1 (1994): 31–34. http://dx.doi.org/10.2493/jjspe.60.31.

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7

Barletta, I., C. Berlin, M. Despeisse, E. Van Voorthuysen, and B. Johansson. "A Methodology to Align Core Manufacturing Capabilities with Sustainable Manufacturing Strategies." Procedia CIRP 69 (2018): 242–47. http://dx.doi.org/10.1016/j.procir.2017.11.102.

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8

Kamrani, Ali K., and Hamid R. Parsaei. "A methodology of forming manufacturing cells using manufacturing and design attributes." Computers & Industrial Engineering 23, no. 1-4 (November 1992): 73–76. http://dx.doi.org/10.1016/0360-8352(92)90066-s.

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9

Sim, Hyun Sik. "Hierarchical Factor Analysis Methodology for Intelligent Manufacturing." Complexity 2021 (June 8, 2021): 1–13. http://dx.doi.org/10.1155/2021/5593374.

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To realize intelligent manufacturing, a controllable factory must be built, and manufacturing competitiveness must be achieved through the improvement of product quality and yield. The yield in the micromanufacturing process is gaining importance as a management factor used in deciding the production cost and product quality as product functions becomes more sophisticated. Because the micromanufacturing process involves manufacturing products through multiple steps, it is difficult to determine the process or equipment that has encountered failure, which can lead to difficulty in securing high yields. This study presents a structural model for building a factory integration system to analyze big data at manufacturing sites and a hierarchical factor analysis methodology to increase product yield and quality in an intelligent manufacturing environment. To improve the product yield, it is necessary to analyze the fault factors that cause low yields and locate and manage the critical processes and equipment factors that affect these fault factors. However, yield management is a difficult problem because there exists a correlation between equipment, and in the sequence of process equipment that the lot passed through, the downstream and the upstream cause complex faults. This study used data-mining techniques to identify suspected processes and equipment that affect the yield of products in the manufacturing process and to analyze the key factors of the equipment. Ultimately, we propose a methodology to find the key factors of the suspected process and equipment that directly affect the implementation of the intelligent manufacturing scheme and the yield of the product. To verify the effect of key parameters of critical processes and equipment on the yield, the proposed methodology was applied to actual manufacturing sites.
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10

Noureddine, Myriam, and Patrick Martineau. "Towards a Modeling Methodology of Manufacturing Systems." IFAC Proceedings Volumes 33, no. 17 (July 2000): 29–34. http://dx.doi.org/10.1016/s1474-6670(17)39370-9.

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11

Valckenaers, Paul, Hendrik Van Brossel, Luc Bongaerts, Jo Wyns, and Patrick Peelers. "Holonic Manufacturing Control Systems: Architecture and Methodology." IFAC Proceedings Volumes 31, no. 31 (November 1998): 55–60. http://dx.doi.org/10.1016/s1474-6670(17)41004-4.

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12

van Manen, M., and H. Bolk. "Implementing Flexible Manufacturing: A Methodology for Change." IFAC Proceedings Volumes 23, no. 7 (November 1990): 163–66. http://dx.doi.org/10.1016/s1474-6670(17)52153-9.

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13

Fine, Charles H., and Arnoldo C. Hax. "Manufacturing Strategy: A Methodology and an Illustration." Interfaces 15, no. 6 (December 1985): 28–46. http://dx.doi.org/10.1287/inte.15.6.28.

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14

Alghamdy, Mohammed, Rafiq Ahmad, and Basel Alsayyed. "Material Selection Methodology for Additive Manufacturing Applications." Procedia CIRP 84 (2019): 486–90. http://dx.doi.org/10.1016/j.procir.2019.04.265.

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15

Prasetyawan, Yudha, Mokh Suef, Nauval Rifqy, and Intan Oktasari Kusuma Wardani. "Manufacturing strategy improvement based on lean methodology." IOP Conference Series: Materials Science and Engineering 508 (May 2, 2019): 012095. http://dx.doi.org/10.1088/1757-899x/508/1/012095.

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16

Silveira, G. DA. "A methodology of implementation of cellular manufacturing." International Journal of Production Research 37, no. 2 (February 1999): 467–79. http://dx.doi.org/10.1080/002075499191878.

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17

ANURAG, PANDEY, KUMAR TRIPATHI MANISH, SINGH CHADHA SAHIB, TRIPATHI SHUBHAM, and PRASAD YADAV BIKARAMA. "IMPLEMENTATION OF JSA METHODOLOGY IN FIREWORKS MANUFACTURING." i-manager’s Journal on Future Engineering and Technology 15, no. 1 (2019): 11. http://dx.doi.org/10.26634/jfet.15.1.16351.

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18

Okazaki, Yuichi. "Microfactories -A New Methodology for Sustainable Manufacturing-." International Journal of Automation Technology 4, no. 2 (March 5, 2010): 82–87. http://dx.doi.org/10.20965/ijat.2010.p0082.

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The microfactory concept advocates miniaturizing production equipment and systems to match product dimensions. This offers advantages environmentally by minimizing the physical factory footprint, economically by cutting investment and running costs, technically by refining machinery specifications, and personnel-wise by minimizing the need for specialized skills. Introducing a paradigm shift in manufacturing, the microfactory arose in the early 1990s, and has enjoyed significant advances through different sectors and diversified approaches targeting practical manufacturing applications. This paper discusses the microfactory concept and significance, its history, the range of potential applications, and some of the advances that have been made since the concept’s inception. It also suggests practices and applications in sustainable manufacturing for the future.
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19

Lu, B. H., R. J. Bateman, and K. Cheng. "RFID enabled manufacturing: fundamentals, methodology and applications." International Journal of Agile Systems and Management 1, no. 1 (2006): 73. http://dx.doi.org/10.1504/ijasm.2006.008860.

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20

Zubiaga, David A. Guerra, Edgar Rios, Robert Parkin, Mike Jackson, Mileta M. Tomovic, and Ricardo Ramirez Mendoza. "Mechatronics Design Methodology applied at manufacturing companies." International Journal of Manufacturing Technology and Management 19, no. 3/4 (2010): 191. http://dx.doi.org/10.1504/ijmtm.2010.031368.

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21

Istrate, C., and I. V. Herghiligiu. "Knowledge management performance methodology regarding manufacturing organizations." IOP Conference Series: Materials Science and Engineering 145 (August 2016): 062002. http://dx.doi.org/10.1088/1757-899x/145/6/062002.

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22

Parsaei, Hamid R., and Mickey R. Wilhelm. "A justification methodology for automated manufacturing technologies." Computers & Industrial Engineering 16, no. 3 (January 1989): 363–73. http://dx.doi.org/10.1016/0360-8352(89)90156-3.

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23

Vaneker, Tom, Alain Bernard, Giovanni Moroni, Ian Gibson, and Yicha Zhang. "Design for additive manufacturing: Framework and methodology." CIRP Annals 69, no. 2 (2020): 578–99. http://dx.doi.org/10.1016/j.cirp.2020.05.006.

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24

Srinivasan, R. S., K. L. Wood, and D. A. McAdams. "Functional tolerancing: A design for manufacturing methodology." Research in Engineering Design 8, no. 2 (June 1996): 99–115. http://dx.doi.org/10.1007/bf01607864.

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25

Eppinger, Steven D., Christopher D. Huber, and Van H. Pham. "A methodology for manufacturing process signature analysis." Journal of Manufacturing Systems 14, no. 1 (January 1995): 20–34. http://dx.doi.org/10.1016/0278-6125(95)98898-g.

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26

Talhi, A., J. C. Huet, V. Fortineau, and S. Lamouri. "Towards a Cloud Manufacturing systems modeling methodology." IFAC-PapersOnLine 48, no. 3 (2015): 288–93. http://dx.doi.org/10.1016/j.ifacol.2015.06.096.

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27

G.F, Barbosa,, and J. Carvalho. "Design for Manufacturing and Assembly methodology applied to aircrafts design and manufacturing." IFAC Proceedings Volumes 46, no. 7 (May 2013): 116–21. http://dx.doi.org/10.3182/20130522-3-br-4036.00044.

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28

Lee, Changho, Choon Seong Leem, and Inhyuck Hwang. "PDM and ERP integration methodology using digital manufacturing to support global manufacturing." International Journal of Advanced Manufacturing Technology 53, no. 1-4 (July 18, 2010): 399–409. http://dx.doi.org/10.1007/s00170-010-2833-x.

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29

Logendran, Rasaratnam. "Methodology for converting a functional manufacturing system into a cellular manufacturing system." International Journal of Production Economics 29, no. 1 (February 1993): 27–41. http://dx.doi.org/10.1016/0925-5273(93)90021-c.

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30

Elsouri, Mohammed, James Gao, Clive Simmonds, and Nick Martin. "A design for manufacturing methodology using defects knowledge for aerospace product manufacturing." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235, no. 11 (April 29, 2021): 1751–62. http://dx.doi.org/10.1177/09544054211007642.

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Defects generated by the UK supply chain is much higher than its global competitors. Defects impact costs and production throughput due to unpredictable disruptions resulting in many non-value adding activities. However, defects data associated knowledge have rarely been considered and implemented as the manufacturing capability in existing design for manufacturing and assembly (DFMA) data/knowledge bases. On the other hand, current ICT systems used in the aerospace industry are not flexible enough to keep up with the new requirements of collaborating to manage knowledge properly, and the use of real-time manufacturing data generated in manufacturing activities. This research was carried out in collaboration with one of the UK’s largest aerospace companies in order to analyse the complexity of design and manufacturing activities of high-value safety-critical aerospace products. The results of the work are presented, and a novel approach and system was developed, that can be used to support DFMA using defects knowledge. The approach was implemented as a knowledge management system using collaborative design principles. Key findings from the main contribution in the context of extended enterprises of high value low volume safety critical product manufacturing are discussed.
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31

H. Garbie, Ibrahim. "A methodology for the reconfiguration process in manufacturing systems." Journal of Manufacturing Technology Management 25, no. 6 (July 1, 2014): 891–915. http://dx.doi.org/10.1108/jmtm-06-2011-0064.

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Purpose – The purpose of this paper is to propose a “Reconfiguration Methodology” in manufacturing systems that they can become more economically sustainable and can operate efficiency and effectively. This methodology will allow customized flexibility and capacity not only in producing a variety of products (parts) and with changing market demands, but also in changing and reengineering the system itself. Design/methodology/approach – Reconfigurable manufacturing system (RMS) is a philosophy or strategy which was introduced during the last decade to achieve agility in manufacturing systems. Until now, the RMS philosophy was based changing activities such routing, planning, programming of machines, controlling, scheduling, and physical layout or materials handling system. But the RMS concept can be based on the needed reconfiguration level (NRL), operational status of production systems, and new circumstances (NC). The NRL measure is based on the agility level of the manufacturing systems which is based on technology, people, management, and manufacturing strategies. The components of the manufacturing system design (MSD) consist of production system design, plant layout system, and material handling system. Operational status of production systems includes machine capability (flexibility) and capacity (reliability), production volume or demand, and material handling equipment in addition to the plant layout. The NC are also consisting of new product, developing the existing ones, and changing in demand. Findings – Reconfiguration manufacturing systems from one period to another period is highly desired and is considered as a novel manufacturing philosophy and/or strategy toward creating new sustainable manufacturing systems. A new reconfiguration methodology for the manufacturing systems will be analyzed and proposed. Two Case studies will be introduced. Originality/value – The suggestion of a new methodology of reconfiguration including the NRL (configurability index) and the operational status of manufacturing systems with respect to any circumstance is highly considered. The reconfiguration methodology also provides a framework for sustainability in the manufacturing area which mainly focussed on manufacturing systems design.
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32

Ergün, Sedef, Sibel Uludağ-Demirer, and Suat Kasap. "A Study on Green Manufacturing in a Car Battery Manufacturing Plant." International Journal of Applied Logistics 4, no. 4 (October 2013): 32–50. http://dx.doi.org/10.4018/ijal.2013100103.

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This study presents an environmental manufacturing system analysis for companies looking for the benefits of environmental management in achieving high productivity levels. When the relationship between environmental costs and manufacturing decisions is examined, it can be seen that the productivity of the company can be increased by adopting a methodology of an environmentally integrated manufacturing system analysis. This study presents such a methodology and the roadmap for generating environmentally friendly and economically favorable alternative waste management solutions is elaborated. The methodology combines data collection, operational analysis of the manufacturing processes, identification of wastes, and evaluation of waste reduction alternatives. The presented methodology is examined in a car battery manufacturing plant, which generates hazardous wastes composed of lead. It is aimed to decrease the wastes derived from the production so that the efficiency in raw materials usage is increased and the need for recycling the hazardous wastes is decreased.
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33

Sanders, Janet H., and Silvanus J. Udoka. "Manufacturing Task Process Characterization Utilizing Response Surface Methodology." International Journal of Green Computing 3, no. 2 (July 2012): 62–77. http://dx.doi.org/10.4018/jgc.2012070105.

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To meet today’s business culture of rapid deployment of new products and processes, engineering and manufacturing personnel must utilize efficient means for process development. This paper discusses a novel approach to characterize a task driven manufacturing process. The approach utilized Response Surface Methodology (RSM) to investigate, identify, and prioritize the key process drivers and subsequently develop quantifiable methods for setting the operating levels for the process drivers to determine if the current levels of these key process drivers result in a process response value that is near optimum. The approach identifies the improved response region, generates a mathematical model of the process and specifies an operating window that would yield consistent results for each of the process drivers. A High Strength Fiber Splicing process was used to demonstrate this approach. This study led to the identification of the region that improved the process yield from 65% to 85%.
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34

Halim, Nurul Hayati Abdul, Ahmed Jaffar, Yusoff Noriah, and Ahmad Adnan Naufal. "Case Study: The Methodology of Lean Manufacturing Implementation." Applied Mechanics and Materials 393 (September 2013): 3–8. http://dx.doi.org/10.4028/www.scientific.net/amm.393.3.

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This paper presents a review on the actual implementation of Lean Manufacturing (LM) techniques at a manufacturing area. It focuses on the execution of flow from the beginning until the end of the implementation, types of analyses and tools applied, evaluation methods and how the company benefited from the implementation. The on-site study was conducted at an automotive assembly area, XYZ Sendirian Berhad. LM, using a set of tools, such as time study, single minute exchange of dies (SMED), standardized work, continuous flow manufacturing system (CFMS) and 5-Why analysis were successfully implemented. The flow of implementation activities was designed by referring to Toyotas 8-Step process. The results of this study showed a significant achievement in waste identification and elimination at the case study area. This successfully proves that the Toyota 8-Steps process could work well in any environment, provided the systematic and appropriate methods and tools are used. At the same time, it could also helps to organize and optimize the effectiveness of LM establishment to the company.
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35

Boehner, Johannes, Moritz Hamacher, and Arnim Reger. "Methodology to Increase Energy Efficiency in Discrete Manufacturing." Applied Mechanics and Materials 655 (October 2014): 69–74. http://dx.doi.org/10.4028/www.scientific.net/amm.655.69.

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The utilisation phase of machinery in discrete manufacturing operations is characterized by changing economical and technical requirements like capacity, performance and as emerging requirement reduced energy consumption. Established industry practices as well as upcoming standards mainly focus on improving the energy efficiency by developing new machinery. Especially existing factories and the machinery in use offers energy saving potentials to be identified and to be capitalized by implementing energy saving retrofit measures. By doing so, the use of existing manufacturing machinery leads to a sustainable use of manufacturing equipment. The discussed research work therefore includes an approach to interpret in-process measurement data and to derive electric energy savings potentials. Based on this assessment, improvement measures like dimensioning, reduction of baseline energy-consumption by updating the PLC and minimisation of peak loads by energy management is engineered. Finally the financial impact of the obtained energy savings is quantified by evaluating the developed methodology during several use cases.
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36

Crabtree, P., V. G. Dhokia, S. T. Newman, and M. P. Ansell. "Manufacturing methodology for personalised symptom-specific sports insoles." Robotics and Computer-Integrated Manufacturing 25, no. 6 (December 2009): 972–79. http://dx.doi.org/10.1016/j.rcim.2009.04.016.

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37

Afazov, Shukri, Annestacy Okioga, Adam Holloway, Willem Denmark, Andrew Triantaphyllou, Sean-Anthony Smith, and Liam Bradley-Smith. "A methodology for precision additive manufacturing through compensation." Precision Engineering 50 (October 2017): 269–74. http://dx.doi.org/10.1016/j.precisioneng.2017.05.014.

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38

Hallgren, Mattias, and Jan Olhager. "Quantification in manufacturing strategy: A methodology and illustration." International Journal of Production Economics 104, no. 1 (November 2006): 113–24. http://dx.doi.org/10.1016/j.ijpe.2005.09.004.

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39

Billo, Richard E. "A design methodology for configuration of manufacturing cells." Computers & Industrial Engineering 34, no. 1 (January 1998): 63–75. http://dx.doi.org/10.1016/s0360-8352(97)00151-4.

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40

Adis, Warren. "Assessing FDA's risk methodology at pharmaceutical manufacturing sites." International Journal of Business Continuity and Risk Management 1, no. 3 (2010): 259. http://dx.doi.org/10.1504/ijbcrm.2010.035689.

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41

Zhang, Z., and H. Sharifi. "A methodology for achieving agility in manufacturing organisations." International Journal of Operations & Production Management 20, no. 4 (April 2000): 496–513. http://dx.doi.org/10.1108/01443570010314818.

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42

Sharifi, H., and Z. Zhang. "Agile manufacturing in practice ‐ Application of a methodology." International Journal of Operations & Production Management 21, no. 5/6 (May 2001): 772–94. http://dx.doi.org/10.1108/01443570110390462.

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43

Chan, H. A. "Surface insulation resistance methodology for today's manufacturing technology." IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part C 19, no. 4 (1996): 300–306. http://dx.doi.org/10.1109/3476.558559.

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44

Piazza, John R., Geoffrey C. Scott, Janine C. Sekutowski, and George Williams. "A Systems Engineering Methodology for Manufacturing Waste Minimization." AT&T Technical Journal 71, no. 2 (March 4, 1992): 11–18. http://dx.doi.org/10.1002/j.1538-7305.1992.tb00153.x.

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45

Marini, Daniele, and Jonathan R. Corney. "Process selection methodology for near net shape manufacturing." International Journal of Advanced Manufacturing Technology 106, no. 5-6 (December 14, 2019): 1967–87. http://dx.doi.org/10.1007/s00170-019-04561-w.

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AbstractThis paper presents a new selection methodology that for the first time supports the identification of Near Net Shape (NNS) processes. The methodology, known as “Product, Geometry, Manufacturing and Materials Matching” (ProGeMa3), is composed of four steps, which aim to minimize raw material usage and machining by adopting a NNS approach. A key component of the methodology is the Process Selection Matrix (ProSMa) that associates a component’s shape and production volume with its material requirements to reduce the number of candidate NNS processes. A final selection is then made from this shortlist by using fuzzy logic and considering other constraints and functional requirements. The ProGeMa3 selection process is illustrated by its application to an industrial component that resulted in changes to the processes used for its commercial manufacture. The ProGeMa3 and ProSMa presented in this paper aspires to be current and comprehensive for solid metallic components produced by casting, forging and additive technologies. However, ProSMa is also accessible as an open source resource available for other researcher to extend and adapt.
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46

Paik, Jamie. "Soft robot design methodology for ‘push-button’ manufacturing." Nature Reviews Materials 3, no. 6 (May 4, 2018): 81–83. http://dx.doi.org/10.1038/s41578-018-0014-y.

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47

Ga, Bastien, Nicolas Gardan, and Gauthier Wahu. "Methodology for Part Building Orientation in Additive Manufacturing." Computer-Aided Design and Applications 16, no. 1 (August 8, 2018): 113–28. http://dx.doi.org/10.14733/cadaps.2019.113-128.

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48

Basu, Protik, and Pranab K. Dan. "Capacity augmentation with VSM methodology for lean manufacturing." International Journal of Lean Six Sigma 5, no. 3 (July 29, 2014): 279–92. http://dx.doi.org/10.1108/ijlss-07-2013-0036.

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Purpose – The purpose of this study is to enhance the output of a manufacturing set-up in phases, by identifying the wastages in the existing line and, thereby, reducing them. Design/methodology/approach – Feasibility checking and optimization of capacity enhancement of a processing line have been discussed. Value stream mapping (VSM) methodology has been used as a data-driven decision-making tool to identify the constraints in the current state and subsequent states. The future state has been achieved in stages using VSM tool of lean manufacturing, coupled with the management philosophy of Theory of Constraints. An example of an Indian company has been added to demonstrate the suitability of the approach. Findings – The proposed approach addresses an important issue of phased increase in customer demand and the process of accommodating it through multi-phased maneuvering of productive capacity at constraint points instead of enhancing the capacity at one go. The underlying problem of capacity enhancement has been addressed using lean principles and the optimum feasible option has been designed so that the increase in cost is minimized along with satisfying the stepwise increase in demand. Research limitations/implications – This research work is applicable to the manufacturing sector. Originality/value – This paper proposes a methodology for phased upgrading of a production flow-line in keeping with a steady increase in customer demand. Here, VSM has been applied in a phased manner, and the constraint in the current state as well as in each subsequent phase has been identified and removed.
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49

ASKIN, RONALD G., HASSAN M. SELIM, and ASOO J. VAKHARIA. "A methodology for designing flexible cellular manufacturing systems." IIE Transactions 29, no. 7 (July 1997): 599–610. http://dx.doi.org/10.1080/07408179708966369.

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50

Govindaraju, Rajesri, and Krisna Putra. "A methodology for Manufacturing Execution Systems (MES) implementation." IOP Conference Series: Materials Science and Engineering 114 (February 2016): 012094. http://dx.doi.org/10.1088/1757-899x/114/1/012094.

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