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Journal articles on the topic 'Manufacturing planning and control'

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Published: 4 June 2021
Last updated: 26 January 2023

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1

Tierney, Review by Kathryn. "Manufacturing Planning and Control Systems." Production Planning & Control 1, no. 2 (April 1990): 128. http://dx.doi.org/10.1080/09537289008919307.

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2

MARSTRAND, NILS. "Planning and control of discrete manufacturing." Production Planning & Control 1, no. 2 (April 1990): 121–26. http://dx.doi.org/10.1080/09537289008919305.

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3

Rocky Newman, W., and V. Sridharan. "Linking manufacturing planning and control to the manufacturing environment." Integrated Manufacturing Systems 6, no. 4 (August 1, 1995): 36–42. http://dx.doi.org/10.1108/09576069510088952.

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A manufacturing planning and control (MPC) system is a major part of the infrastructure used by a firm to enhance its competitive position. Although a clear understanding of the mechanics and benefits of alternative MPC systems exists, very little is known about the relationships between such systems, the strategic environment faced by the user‐firms, and their performance in achieving cost/competitive advantage. Historically, the choice of an MPC system appears to have been made based solely on available in‐house expertise, industry trends, or plain inertia. Reports a summary of the results of a survey conducted to explore empirically the relationship between the environmental characteristics faced by the manufacturing function and manufacturing performance of firms using alternative MPC systems. Presents the results of an analysis of the environment faced by best and worst performers using different MPC systems. The results indicate key linkages between the MPC systems, environment, and performance.
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4

Rand, G. K., N. Singh, and D. Rajamani. "Cellular Manufacturing Systems Design, Planning and Control." Journal of the Operational Research Society 48, no. 6 (June 1997): 655. http://dx.doi.org/10.2307/3010230.

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5

Steele, Daniel C., William L. Berry, and Stephen N. Chapman. "Planning and Control in Multi-Cell Manufacturing." Decision Sciences 26, no. 1 (January 1995): 1–34. http://dx.doi.org/10.1111/j.1540-5915.1995.tb00835.x.

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6

Rahimifard, Shahin, and Stephen T. Newman. "The planning and control of manufacturing SMEs." International Journal of Manufacturing Technology and Management 3, no. 4/5 (2001): 496. http://dx.doi.org/10.1504/ijmtm.2001.001426.

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7

Chan, Joseph W. K., and N. D. Burns. "Benchmarking manufacturing planning and control (MPC) systems." Benchmarking: An International Journal 9, no. 3 (August 2002): 256–77. http://dx.doi.org/10.1108/14635770210429018.

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8

Evans, Heather. "Cellular Manufacturing Systems: Design, Planning and Control." Journal of Manufacturing Systems 16, no. 3 (January 1997): 235. http://dx.doi.org/10.1016/s0278-6125(97)88896-6.

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9

Zijm, W. H. M. "Towards intelligent manufacturing planning and control systems." OR Spectrum 22, no. 3 (August 1, 2000): 313–45. http://dx.doi.org/10.1007/s002919900032.

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10

Singh, N., and D. Rajamani. "Cellular Manufacturing Systems Design, Planning and Control." Journal of the Operational Research Society 48, no. 6 (June 1997): 655. http://dx.doi.org/10.1057/palgrave.jors.2600414.

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11

Singh, N., and D. Rajamani. "Cellular Manufacturing Systems Design, Planning and Control." Journal of the Operational Research Society 48, no. 6 (1997): 655. http://dx.doi.org/10.1038/sj.jors.2600414.

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12

Liberatore, Matthew J., George J. Titus, and Lance J. Naber. "Microcomputer systems for manufacturing planning and control." Computers & Operations Research 13, no. 2-3 (January 1986): 261–75. http://dx.doi.org/10.1016/0305-0548(86)90011-0.

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13

Antomarchi, A. L., R. Guillaume, S. Durieux, C. Thierry, and E. Duc. "Capacity planning in additive manufacturing." IFAC-PapersOnLine 52, no. 13 (2019): 2556–61. http://dx.doi.org/10.1016/j.ifacol.2019.11.591.

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14

Darley, Andy. "Intelligent Manufacturing Planning." Journal of Manufacturing Systems 16, no. 3 (January 1997): 235–36. http://dx.doi.org/10.1016/s0278-6125(97)88897-8.

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15

Chetty, B. S., K. N. Krishnaswamy, B. V. Chowdary, and K. B. Akhilesh. "Manufacturing planning and control in batch manufacturing industries: a multidimensional construct." International Journal of Computer Applications in Technology 27, no. 1 (2006): 51. http://dx.doi.org/10.1504/ijcat.2006.010989.

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16

Slomp, J., and W. H. M. Zijm. "A manufacturing planning and control system for a flexible manufacturing system." Robotics and Computer-Integrated Manufacturing 10, no. 1-2 (January 1993): 109–14. http://dx.doi.org/10.1016/0736-5845(93)90032-f.

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17

Duchessi, Peter, Charles M. Schaninger, and Don R. Hobbs. "Implementing a Manufacturing Planning and Control Information System." California Management Review 31, no. 3 (April 1989): 75–90. http://dx.doi.org/10.2307/41166571.

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18

Gyorfi, J. S., and Chi-Haur Wu. "Coordinated planning and control of automated assembly manufacturing." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 30, no. 2 (March 2000): 173–80. http://dx.doi.org/10.1109/3468.833098.

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19

GUNASEKARAN, A., S. K. GOYAL, I. VIRTANEN, and P. YLI-OLLI. "Production planning and control in automated manufacturing systems." Production Planning & Control 4, no. 1 (January 1993): 2–16. http://dx.doi.org/10.1080/09537289308919414.

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20

Karni, R., and A. Gal-Tzur. "Frame-based architectures for manufacturing planning and control." Artificial Intelligence in Engineering 7, no. 2 (January 1992): 63–91. http://dx.doi.org/10.1016/0954-1810(92)90007-o.

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21

Biemans, Frank P., and Chris A. Vissers. "Reference model for manufacturing planning and control systems." Journal of Manufacturing Systems 8, no. 1 (January 1989): 35–46. http://dx.doi.org/10.1016/0278-6125(89)90018-6.

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22

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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23

Gohari, Hossein, Ahmad Barari, Hossam Kishawy, and Marcos S. G. Tsuzuki. "Intelligent Process Planning for Additive Manufacturing." IFAC-PapersOnLine 52, no. 10 (2019): 218–23. http://dx.doi.org/10.1016/j.ifacol.2019.10.067.

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24

SUGIMURA, Nobuhiro, and Koji IWAMURA. "2201 DYNAMIC INTEGRATED PROCESS PLANNING AND PRODUCTION CONTROL IN FLEXIBLE MANUFACTURING SYSTEMS WITH AUTONOMOUS AGENTS." Proceedings of Manufacturing Systems Division Conference 2007 (2007): 37–38. http://dx.doi.org/10.1299/jsmemsd.2007.37.

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25

Bach, Terje, Bjørn Jæger, and Arild Hoff. "Production Planning and Control as Routing in Manufacturing Networks." MENDEL 24, no. 2 (December 21, 2018): 1–8. http://dx.doi.org/10.13164/mendel.2018.2.001.

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In this paper, we explore the use of network routing for production planning and control in manufacturing of complex industrial products. Such a product is the result of a joint effort of many manufacturing companies; each considered a collection of work centre nodes connected by transportation links forming a company-wide manufacturing network. Each company is, in turn considered a manufacturing node connected to other manufacturers by transportation links forming a distributed manufacturing network that produces the final product. We model the manufacturing network as a distribution network where the incoming and outgoing inventories of products are distinct nodes in addition to the work centre nodes. Production planning and control are done by minimizing the cost of handling all products in all work centre nodes. This formulation provides a scalable and flexible production planning and control scheme adhering to the networked structure of manufacturing of complex products. We apply the model to a company-wide manufacturing network as a first approach. A case study using the model demonstrates production planning using network routing at a manufacturer of ship propulsion engines.
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26

Grieve, R. J. "Computerised manufacturing process planning systems." Computer Integrated Manufacturing Systems 8, no. 2 (May 1995): 166. http://dx.doi.org/10.1016/0951-5240(95)90003-9.

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27

Hassan Zadeh, Amir, Hamid Afshari, and Reza Ramazani Khorshid-Doust. "Integration of process planning and production planning and control in cellular manufacturing." Production Planning & Control 25, no. 10 (July 30, 2013): 840–57. http://dx.doi.org/10.1080/09537287.2013.767394.

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28

Kusiak, Andrew. "Planning of flexible manufacturing systems." Robotica 3, no. 4 (October 1985): 229–32. http://dx.doi.org/10.1017/s0263574700002320.

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SUMMARYIn this paper a new approach to planning of Flexible Manufacturing Systems (FMSs) is discussed. This approach takes advantage of FMS features and is based on linking of machining and assembling operations. There are two problems embedded in the presented approach: station loading and operation scheduling. A formulation of a station loading problem for a single machining period is presented. Some of the computational results are also discussed.
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29

Gunasekaran, A., S. K. Goyal, T. Martikainen, and P. Yli-Olli. "Production Capacity Planning and Control in Multi-Stage Manufacturing." Journal of the Operational Research Society 49, no. 6 (June 1998): 625. http://dx.doi.org/10.2307/3010671.

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30

Gustavsson, Mattias, and Carl Wänström. "Assessing information quality in manufacturing planning and control processes." International Journal of Quality & Reliability Management 26, no. 4 (April 17, 2009): 325–40. http://dx.doi.org/10.1108/02656710910950333.

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31

Persentili, Emine, and Sema E. Alptekin. "Product flexibility in selecting manufacturing planning and control strategy." International Journal of Production Research 38, no. 9 (June 2000): 2011–21. http://dx.doi.org/10.1080/002075400188465.

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32

Sum, Chee-Chuong, and Arthur V. Hill. "A New Framework for Manufacturing Planning and Control Systems." Decision Sciences 24, no. 4 (July 1993): 739–60. http://dx.doi.org/10.1111/j.1540-5915.1993.tb00487.x.

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33

Bouhal, A., M. A. Jafari, Wen-Biao Han, and Tong Fang. "Tracking control and trajectory planning in layered manufacturing applications." IEEE Transactions on Industrial Electronics 46, no. 2 (April 1999): 445–51. http://dx.doi.org/10.1109/41.753784.

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34

Olhager, Jan, and Erik Selldin. "Manufacturing planning and control approaches: market alignment and performance." International Journal of Production Research 45, no. 6 (March 15, 2007): 1469–84. http://dx.doi.org/10.1080/00207540600635250.

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35

Olhager, J., and B. Rapp. "Operations Research Techniques in Manufacturing Planning and Control Systems." International Transactions in Operational Research 2, no. 1 (January 1995): 29–43. http://dx.doi.org/10.1111/j.1475-3995.1995.tb00003.x.

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36

Gunasekaran, A., S. K. Goyal, T. Martikainen, and P. Yli-Olli. "Production capacity planning and control in multi-stage manufacturing." Journal of the Operational Research Society 49, no. 6 (June 1998): 625–34. http://dx.doi.org/10.1057/palgrave.jors.2600580.

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37

Banerjee, S. K., A. P. Kourouklis, and J. Penman. "Manufacturing planning and control decision model: A design methodology." International Journal of Production Economics 34, no. 3 (June 1994): 283–92. http://dx.doi.org/10.1016/0925-5273(94)90158-9.

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38

Ward, T. L., and P. A. S. Ralston. "Fuzzy Control of Production Planning in Distributed Manufacturing Systems." IFAC Proceedings Volumes 24, no. 5 (August 1991): 97–101. http://dx.doi.org/10.1016/s1474-6670(17)51230-6.

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39

Gunasekaran, A., S. K. Goyal, T. Martikainen, and P. Yli-Olli. "Production capacity planning and control in multi-stage manufacturing." Journal of the Operational Research Society 49, no. 6 (1998): 625–34. http://dx.doi.org/10.1038/sj.jors.2600580.

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40

Gupta, Rajiv, and Howard Kaplan. "Resolving the planning and control dilemma in modern manufacturing." Computers & Industrial Engineering 11, no. 1-4 (January 1986): 261–65. http://dx.doi.org/10.1016/0360-8352(86)90090-2.

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41

Lee, Taehee. "An integrated scheduler for manufacturing planning and control (INSCH)." Computers & Industrial Engineering 15, no. 1-4 (January 1988): 139–45. http://dx.doi.org/10.1016/0360-8352(88)90076-9.

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42

Olhager, Jan, and Martin Rudberg. "Linking manufacturing strategy decisions on process choice with manufacturing planning and control systems." International Journal of Production Research 40, no. 10 (January 2002): 2335–51. http://dx.doi.org/10.1080/00207540210131842.

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43

Chan, J. C. M., K. L. Mak, and S. F. Mak. "Computerization of manufacturing planning and control systems in the Hong Kong manufacturing industry." Computers in Industry 27, no. 3 (November 1995): 291–95. http://dx.doi.org/10.1016/0166-3615(95)00037-6.

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44

Deif, Ahmed M., and Waguih H. ElMaraghy. "Dynamic modelling of reconfigurable manufacturing planning and control systems using supervisory control." International Journal of Manufacturing Technology and Management 17, no. 1/2 (2009): 82. http://dx.doi.org/10.1504/ijmtm.2009.023780.

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45

Jonsson, Patrik, and Stig‐Arne Mattsson. "The implications of fit between planning environments and manufacturing planning and control methods." International Journal of Operations & Production Management 23, no. 8 (August 2003): 872–900. http://dx.doi.org/10.1108/01443570310486338.

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46

Li, W. D., and L. Gao. "Intelligent and cooperative manufacturing planning." International Journal of Manufacturing Research 5, no. 1 (2010): 39. http://dx.doi.org/10.1504/ijmr.2010.029662.

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47

Seliger, G., B. Viehweger, and S. R. Kommana. "Integrated planning of manufacturing systems." Robotics and Computer-Integrated Manufacturing 4, no. 3-4 (January 1988): 593–600. http://dx.doi.org/10.1016/0736-5845(88)90031-2.

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48

Pan, Fangyu, Yuewei Bai, Shupiao Liu, and Li Nie. "The Application of Manufacturing Execution System in Virtual Manufacturing." Journal of Physics: Conference Series 2136, no. 1 (December 1, 2021): 012052. http://dx.doi.org/10.1088/1742-6596/2136/1/012052.

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Abstract Compaired with mart manufacturing and digital manufacturing, virtual manufacturing is a more advanced mode, which is more flexible, more inexpensive and more suitable for modern competitive society. No matter what type of manufacturing, Manufacturing Execution System (MES) is necessary and plays a key role. So this paper focuses on the MES in virtual manufacturing. MES serves as a bridge to connect the upper planning layer and the control layer of the factory. It has at least 8 functions, including data collection, production process management, human resource management, workpieces tracking, production planning and scheduling, quality control, documentation system and maintenance management. As a typical virtual manufacturing enterprise, the company A is chosen to be introduced, including the background, composition of MES and implementation of MES.
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49

Howard, Alexander, Ashok Kochhar, and John Dilworth. "Functional requirements of manufacturing planning and control systems in medium‐sized batch manufacturing companies." Integrated Manufacturing Systems 10, no. 3 (June 1999): 136–46. http://dx.doi.org/10.1108/09576069910264394.

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50

Ma, Andrew, Aydin Nassehi, and Chris Snider. "Anarchic manufacturing: implementing fully distributed control and planning in assembly." Production & Manufacturing Research 9, no. 1 (January 1, 2021): 56–80. http://dx.doi.org/10.1080/21693277.2021.1963346.

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