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Flexible Manufacturing Systems: A Review of Analytical Models

Author

Listed:
  • J. A. Buzacott

    (Department of Management Sciences, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1)

  • David D. Yao

    (Department of Industrial Engineering & Operations Research, Columbia University, New York, New York 10027)

Abstract

This paper reviews recent work on the development of analytical models of Flexible Manufacturing Systems (FMSs). The contributions of each of the groups concerned with model development are summarized and an assessment is made of the strengths and weaknesses of its modelling approach. A number of directions in which models require extension are outlined, in particular the representation of such aspects of FMS operation as the tool delivery systems, the blocking phenomenon, the transient behavior and the differences between flexible machining systems and flexible assembly systems. Further work is also required on the structure of FMS control and the integration with plant production planning and control.

Suggested Citation

  • J. A. Buzacott & David D. Yao, 1986. "Flexible Manufacturing Systems: A Review of Analytical Models," Management Science, INFORMS, vol. 32(7), pages 890-905, July.
    • Handle: RePEc:inm:ormnsc:v:32:y:1986:i:7:p:890-905
    DOI: 10.1287/mnsc.32.7.890
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    Citations

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    Cited by:

    1. Harry R. Clarke, 1988. "Product Rotations and the Economics of an Adaption-Flexible Manufacturing System," Australian Journal of Management, Australian School of Business, vol. 13(2), pages 319-331, December.
    2. Weckenborg, Christian & Schumacher, Patrick & Thies, Christian & Spengler, Thomas S., 2024. "Flexibility in manufacturing system design: A review of recent approaches from Operations Research," European Journal of Operational Research, Elsevier, vol. 315(2), pages 413-441.
    3. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    4. Zavanella, Lucio, 1996. "Guidelines for tool store dimensioning in flexible manufacturing using an analytical technique," International Journal of Production Economics, Elsevier, vol. 46(1), pages 563-573, December.
    5. Liling Ge & Yingjie Zhang, 2019. "Improving operational reliability of manufacturing systems by process optimization via survival signatures," Journal of Risk and Reliability, , vol. 233(3), pages 444-454, June.
    6. Schwerdfeger, Stefan & Boysen, Nils, 2017. "Order picking along a crane-supplied pick face: The SKU switching problem," European Journal of Operational Research, Elsevier, vol. 260(2), pages 534-545.
    7. Zhao Xiaobo & Qiguo Gong & Kenichi Nakashima, 2001. "Analysis of a production system in a general configuration," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(2), pages 128-143, March.
    8. Perrone, Giovanni & La Diega, Sergio Noto, 1996. "Strategic FMS design under uncertainty: A fuzzy set theory based model," International Journal of Production Economics, Elsevier, vol. 46(1), pages 549-561, December.
    9. Tacquard, Claudine & Martineau, Patrick, 2001. "Automatic notation of the physical structure of a flexible manufacturing system," International Journal of Production Economics, Elsevier, vol. 74(1-3), pages 279-292, December.
    10. Paulli, Jan, 1995. "A hierarchical approach for the FMS scheduling problem," European Journal of Operational Research, Elsevier, vol. 86(1), pages 32-42, October.
    11. Shang, Jen & Sueyoshi, Toshiyuki, 1995. "A unified framework for the selection of a Flexible Manufacturing System," European Journal of Operational Research, Elsevier, vol. 85(2), pages 297-315, September.
    12. Kumar, Ashok & Jacobson, Sheldon H. & Sewell, Edward C., 2000. "Computational analysis of a flexible assembly system design problem," European Journal of Operational Research, Elsevier, vol. 123(3), pages 453-472, June.
    13. Sushil, 2020. "Interpretive multi-criteria ranking of production systems with ordinal weights and transitive dominance relationships," Annals of Operations Research, Springer, vol. 290(1), pages 677-695, July.
    14. Karsak, E. Ertugrul & Kuzgunkaya, Onur, 2002. "A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system," International Journal of Production Economics, Elsevier, vol. 79(2), pages 101-111, September.
    15. Shixin Wang & Xuan Wang & Jiawei Zhang, 2021. "A Review of Flexible Processes and Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1804-1824, June.
    16. Louis Amato & Christie Amato, 2000. "The Impact of High Tech Production Techniques on Productivity and Profitability in Selected U.S. Manufacturing Industries," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 16(4), pages 327-342, June.
    17. Cardin, Olivier & Mebarki, Nasser & Pinot, Guillaume, 2013. "A study of the robustness of the group scheduling method using an emulation of a complex FMS," International Journal of Production Economics, Elsevier, vol. 146(1), pages 199-207.
    18. Diaby, Moustapha & Cruz, Jose M. & Nsakanda, Aaron L., 2013. "Shortening cycle times in multi-product, capacitated production environments through quality level improvements and setup reduction," European Journal of Operational Research, Elsevier, vol. 228(3), pages 526-535.
    19. Bitran, Gabriel R. & Morabito, Reinaldo., 1994. "Open queueing networks : optimization and performance evaluation models for discrete manufacturing systems," Working papers 3743-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    20. Fine, Charles H., 1989. "Developments in manufacturing technology and economic evaluation models," Working papers 3012-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    21. Ilias Vlachos & Rodrigo Martinez Pascazzi & Miltiadis Ntotis & Konstantina Spanaki & Stella Despoudi & Panagiotis Repoussis, 2022. "Smart and flexible manufacturing systems using Autonomous Guided Vehicles (AGVs) and the Internet of Things (IoT)," Post-Print hal-03825237, HAL.
    22. Choi, S. H. & Lee, J. S. L., 2001. "Computational algorithms for modeling unreliable manufacturing systems based on Markovian property," European Journal of Operational Research, Elsevier, vol. 133(3), pages 667-684, September.
    23. Hosseini, Amir & Otto, Alena & Pesch, Erwin, 2024. "Scheduling in manufacturing with transportation: Classification and solution techniques," European Journal of Operational Research, Elsevier, vol. 315(3), pages 821-843.
    24. Daniel Freund & S'ebastien Martin & Jiayu Kamessi Zhao, 2024. "Two-Sided Flexibility in Platforms," Papers 2404.04709, arXiv.org, revised Nov 2024.
    25. Taekwon Kim & Lars‐Hendrik Röller & Mihkel M. Tombak, 1994. "On the timing of adoption of multiproduct technologies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(3), pages 377-394, April.

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