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Virtual manufacturing cells: A taxonomy of past research and identification of future research issues

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Abstract

This paper reviews prior research in the area of virtual manufacturing cells. A virtual manufacturing cell (VMC) is a group of resources that is dedicated to the manufacturing of a part family, though this grouping is not reflected in the physical structure of the manufacturing system. Distinguishing such groups in the production control system offers the possibility of achieving the advantages of cellular manufacturing in non-cellular manufacturing systems. The advantages may include improved flow performance, higher efficiency, simplified production control, and better quality. The paper reviews the previous publications on virtual manufacturing cells, to determine the methods and scope of present research. This results in a comprehensive framework which identifies the underlying principles of VMCs and classifies the different VMC concepts. It is shown that virtual manufacturing cells can significantly improve the performance of manufacturing systems. Based on the comprehensive review, many future research issues and high-impact research areas are also identified.

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References

  • Altom RJ (1978) Costs and Savings of Group Technology, Research report, Society of Manufacturing Engineers, Dearborn

  • Drolet J, Abdulnour G, Rheault M (1996) The cellular manufacturing evolution. Computers and Industrial Engineering 31(1–2):139–142

    Article  Google Scholar 

  • Flynn BB (1987) Repetitive lots: The use of a sequence-dependent set-up time scheduling procedure in group technology and traditional shops. Journal of Operations Management 7(1):203–216

    Article  Google Scholar 

  • Flynn BB, Jacobs FR (1986) A simulation comparison of group technology with traditional job shop manufacturing. International Journal of Production Research 24(5):1171–1192

    Google Scholar 

  • Flynn BB, Jacobs FR (1987) An experimental comparison of cellular (group technology) layout with process layout. Decision Sciences 18(4):562–581

    Google Scholar 

  • Hyer NL, Brown KA (1999) The discipline of real cells. Journal of Operations Management 17(5):557–574

    Article  Google Scholar 

  • Irani SA, Cavalier TM, Cohen PH (1993) Virtual manufacturing cells: exploiting layout design and intercell flows for the machine sharing problem. International Journal of Production Research 31(4):791–810

    Google Scholar 

  • Jacobs FR, Bragg DJ (1988) Repetitive lots- flow time reductions through sequencingand dynamic batch sizing. Decision Sciences 19(2):281–294

    Google Scholar 

  • Jensen JB, Malhotra MK, Philipoom PR (1996) Machine dedication and process flexibility in a group technology environment. Journal of Operation Management 14(1):19–39

    Article  Google Scholar 

  • Jensen JB, Malhotra MK, Philipoom PR (1998) Family-based scheduling of shops with functional layouts. International Journal of Production Research 36(10):2687–2700

    Article  MATH  Google Scholar 

  • Kannan VR, Ghosh S (1995) Using dynamic cellular manufacturing to simplify scheduling in cell based production systems. Omega 23(4):443–452

    Article  Google Scholar 

  • Kannan VR (1997) A simulation analysis of the impact of family configuration on virtual cellular manufacturing. Production Planning & Control 8(1):14–24

    Article  Google Scholar 

  • Kannan VR (1998) Analysing the trade-off between efficiency and flexibility in cellular manufacturing systems. Production Planning & Control 9(6):572–579

    Article  MathSciNet  Google Scholar 

  • Kannan VR, Ghosh S (1996a) A virtual cellular manufacturing approach to batch production. Decision Sciences 27(3):519–539

    Google Scholar 

  • Kannan VR, Ghosh S (1996b) Cellular manufacturing using virtual cells. International Journal of Operations & Production Management 16(5):99–112

    Article  Google Scholar 

  • Ko K-C, Egbelu PJ (2003) Virtual cell formation. International Journal of Production Research 41(11):2365–2389

    Article  Google Scholar 

  • Kühling M (1998) Virtuelle Fertigungsinseln für Produktionsbereiche der Schmiedeinustrie, Research report, Forschungsgesellschaft Stahlverformung, Hagen

  • Mak KL, Wang XX (2002) Production scheduling and cell formation for virtual cellular manufacturing systems. International Journal of Advanced Manufacturing Technology 20(2):144–152

    Article  Google Scholar 

  • McLean CR, Bloom HM, Hopp TH (1982) The virtual manufacturing cell. In Proc. Fourth IFAC/IFIP Conference on Information Control Problems in Manufacturing Technology, pp. 105–111

  • Mertins K, Friedland R, Rabe M (2000) Capacity assignment of virtual manufacturing cells by applying lot size harmonization. International Journal of Production Research 38(17):4385–4391

    Article  MATH  Google Scholar 

  • Molleman E, Slomp J, Rolefes S (2002) The evolution of a cellular manufacturing system—longitudinal case study. International Journal of Production Economics 75(3):305–322

    Article  Google Scholar 

  • Montreuil B, Drolet J, Lefrancois Pierre (1992) The design and management of virtual cellular manufacturing systems. In Proceedings of American Production & Inventory Control Society Conference, 4–5 October, Quebec, Montreal, pp. 410–414

  • Moodie CL, Drolet J, Ho YC, Warren GMH (1994) Cell design strategies for efficient material handling. In Material Flow Systems in Manufacturing (Chapter 3), New York, NY: J.M.A. (ed) Tanchoco, Chapman & Hall pp. 76–101

  • Nandurkar KN, Subash Babu A (1998) Design and development of adaptable cellular manufacturing systems. In Proc. 18th All India Manufacturing Technology Design and Research Conference, IIT-Kharagpur, India, pp. 538–544

  • Nof SY (1982) On the structure and logic of typical material flow systems. International Journal of Production Research 20(5):575–590

    Google Scholar 

  • Nomden G, Slomp J (2003) The operation of virtual cellular layouts in various physical layout situations. In Proc. GT/CM World Symposium 2003, Columbus, OH, 255–260

  • Prince J, Kay JM (2003) Combining lean and agile characteristics: creation of virtual groups by enhanced production flow analysis. International Journal of Production Economics 85(3):305–318

    Article  Google Scholar 

  • Ratchev SM (2001) Concurrent process and facility prototyping for formation of virtual manufacturing cells. Integrated Manufacturing Systems 12(4):306–315

    Article  Google Scholar 

  • Rheault M, Drolet JR, Abdul-Nour G (1995) Physically reconfigurable virtual cells: a dynamic model for a highly dynamic environment. Computers & Industrial Engineering 29(4):221–225

    Article  Google Scholar 

  • Saad SM, Baykasoglu A, Gindy NNZ (2002) An integrated framework for reconfiguration of cellular manufacturing systems using virtual cells. Production Planning & Control 13(4):381–393

    Article  Google Scholar 

  • Sarker BR, Li Z (2001) Job routing and operations scheduling: a network-based virtual cell formation approach. Journal of the Operational Research Society 52(6):673–681

    MATH  Google Scholar 

  • Selim HM, Askin RG, Vakharia AJ (1998) Cell formation in group technology: review, evaluation and directions for future research. Computers & Industrial Engineering 34(1):3–20

    Article  Google Scholar 

  • Shafer SM, Meredith JR (1992) An empirically-based simulation study of functional versus cellular layouts with operations overlapping. International Journal of Operations & Production Management 13(2):47–62

    Google Scholar 

  • Shambu G, Suresh NC (2000) Performance of hybrid cellular manufacturing systems: A computer simulation investigation. European Journal of Operational Research 120(2):436–458

    Article  MATH  Google Scholar 

  • Slomp J, Chowdary BV, Suresh NC (2004) Design and operation of virtual manufacturing cells. In Proceedings of FAIM Conference, Tampa, FL.

  • Slomp J, Chowdary BV, Suresh NC (2005) Design of virtual manufacturing cells: A mathematical programming approach. Robotics and Computer Integrated Manufacturing 21(3):273–288

    Article  Google Scholar 

  • Subash BA, Nandurkar KN, Thomas A (2000) Development of virtual cellular manufacturing systems for SMEs. Logistics Information Management 13(4):228–242

    Article  Google Scholar 

  • Suresh NC (1991) Partitioning work centers for group technology: Insights from an analytical model. Decision Sciences 22(4):772–791

    MathSciNet  Google Scholar 

  • Suresh NC (1992) Partitioning work centers for group technology: Analytical extension and shop-level simulation investigation. Decision Sciences 23(2):267–290

    Google Scholar 

  • Suresh NC, Meredith JR (1994) Coping with the Loss of Pooling Synergy in Cellular Manufacturing Systems. Management Science 40(4):466–483

    Article  MATH  Google Scholar 

  • Suresh NC, Slomp J (2005) Performance comparison of virtual cellular manufacturing with functional and cellular layouts in DRC settings. International Journal of Production Research 43(5):945–979

    Article  Google Scholar 

  • Thomalla CS (2000) Formation of virtual cells in manufacturing systems. In Proc. Group Technology/Cellular Manufacturing World Symposium, San Juan, Puerto Rico, pp. 13–16.

  • Vakharia AJ, Moily JP, Huang Y (1999) Evaluating virtual cells and multistage flow shops: An analytical approach. International Journal of Flexible Manufacturing Systems 11(3):291–314

    Article  Google Scholar 

  • Wemmerlöv U, Hyer NL (1989) Cellular manufacturing in the U.S. industry: a survey of users. International Journal of Production Research 27(9):1511–1530

    Google Scholar 

  • Wemmerlöv U, Johnson DJ (2000) Empirical findings on manufacturing cell design. International Journal of Production Research 38(3):481–507

    Article  MATH  Google Scholar 

  • Wisner JD, Sifer SP (1995) A survey of US manufacturing practices in make-to-order machine shops. Production & Inventory Management Journal 36(1):1–7

    Google Scholar 

  • Yin RK (1989) Case study research: design and methods. Sage Publications, Inc.

  • Zee DJ van der (2004) Dynamic scheduling of batch servers with compatible product families. International Journal of Production Research 42(22):4803–4826

    Article  MATH  Google Scholar 

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Authors and Affiliations

  1. Faculty of Management & Organization, University of Groningen, Landleven 5, P.O. Box 800, 9700 AV, Groningen, Netherlands

    Gert Nomden & Jannes Slomp

  2. School of Management, State University of New York, Buffalo, New York, 14260-4000, USA

    Nallan C. Suresh

Authors
  1. Gert Nomden
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  2. Jannes Slomp
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  3. Nallan C. Suresh
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Correspondence to Gert Nomden.

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Nomden, G., Slomp, J. & Suresh, N.C. Virtual manufacturing cells: A taxonomy of past research and identification of future research issues. Int J Flex Manuf Syst 17, 71–92 (2005). https://doi.org/10.1007/s10696-006-8122-1

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  • DOI: https://doi.org/10.1007/s10696-006-8122-1

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