IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v23y1995i4p443-452.html
   My bibliography  Save this article

Using dynamic cellular manufacturing to simplify scheduling in cell based production systems

Author

Listed:
  • Kannan, V. R.
  • Ghosh, S.

Abstract

Previous research has shown that the formation of temporary, logical manufacturing cells in a job shop, overcomes problems of high setup frequency typically found in job shops. In addition, this form of cellular configuration is more flexible than tranditional, group technology based cellular configurations. This research demonstrates that an added benefit of a dynamic cellular configuration is that it simplifies production scheduling, eliminating the need for more complex dispatching rules. In particular, it eliminates the need for further setup reduction when scheduling parts from the same family. Improvements in performance when employing setup reduction are shown to occur only when the premium associated with intra-family setup reduction is very high, and are attributable to reductions in flow time variance.

Suggested Citation

  • Kannan, V. R. & Ghosh, S., 1995. "Using dynamic cellular manufacturing to simplify scheduling in cell based production systems," Omega, Elsevier, vol. 23(4), pages 443-452, August.
  • Handle: RePEc:eee:jomega:v:23:y:1995:i:4:p:443-452
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0305-0483(95)00010-L
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nallan C. Suresh & Jack R. Meredith, 1994. "Coping with the Loss of Pooling Synergy in Cellular Manufacturing Systems," Management Science, INFORMS, vol. 40(4), pages 466-483, April.
    2. L. Schruben & H. Singh & L. Tierney, 1983. "Optimal Tests for Initialization Bias in Simulation Output," Operations Research, INFORMS, vol. 31(6), pages 1167-1178, December.
    3. John S. Morris & Richard J. Tersine, 1990. "A Simulation Analysis of Factors Influencing the Attractiveness of Group Technology Cellular Layouts," Management Science, INFORMS, vol. 36(12), pages 1567-1578, December.
    4. Kenneth R. Baker, 1984. "Sequencing Rules and Due-Date Assignments in a Job Shop," Management Science, INFORMS, vol. 30(9), pages 1093-1104, September.
    5. Bruce Schmeiser, 1982. "Batch Size Effects in the Analysis of Simulation Output," Operations Research, INFORMS, vol. 30(3), pages 556-568, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Safaei, N. & Saidi-Mehrabad, M. & Jabal-Ameli, M.S., 2008. "A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system," European Journal of Operational Research, Elsevier, vol. 185(2), pages 563-592, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Enver Yücesan, 1993. "Randomization tests for initialization bias in simulation output," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(5), pages 643-663, August.
    2. D'Angelo, Andrea & Gastaldi, Massimo & Levialdi, Nathan, 2000. "Production variability and shop configuration: An experimental analysis," International Journal of Production Economics, Elsevier, vol. 68(1), pages 43-57, October.
    3. Jing, Hao & Sheng, Lijuan & Luo, Chaorui & Kwak, Choonjong, 2021. "Statistical analysis of family based dispatching rules and preemption," International Journal of Production Economics, Elsevier, vol. 240(C).
    4. Shambu, Girish & Suresh, Nallan C., 2000. "Performance of hybrid cellular manufacturing systems: A computer simulation investigation," European Journal of Operational Research, Elsevier, vol. 120(2), pages 436-458, January.
    5. Jensen, John B., 2000. "The impact of resource flexibility and staffing decisions on cellular and departmental shop performance," European Journal of Operational Research, Elsevier, vol. 127(2), pages 279-296, December.
    6. Shafer, S. M. & Meredith, J. R. & Marsh, R. F., 1995. "A taxonomy for alternative equipment groupings in batch environments," Omega, Elsevier, vol. 23(4), pages 361-376, August.
    7. Kannan, Vijay R. & Palocsay, Susan W., 1999. "Cellular vs process layouts: an analytic investigation of the impact of learning on shop performance," Omega, Elsevier, vol. 27(5), pages 583-592, October.
    8. Song, Wheyming Tina, 1996. "On the estimation of optimal batch sizes in the analysis of simulation output," European Journal of Operational Research, Elsevier, vol. 88(2), pages 304-319, January.
    9. Riezebos, J. & Gaalman, G.J.C., 1995. "Relations between cells in cellular manufacturing," Research Report 95A45, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    10. Sarper, H. & Henry, M. C., 1996. "Combinatorial evaluation of six dispatching rules in a dynamic two-machine flow shop," Omega, Elsevier, vol. 24(1), pages 73-81, February.
    11. van Ooijen, H. P. G. & Bertrand, J. W. M., 2001. "Economic due-date setting in job-shops based on routing and workload dependent flow time distribution functions," International Journal of Production Economics, Elsevier, vol. 74(1-3), pages 261-268, December.
    12. Cao, Qidong & Patterson, J. Wayne & Bai, Xue, 2005. "Reexamination of processing time uncertainty," European Journal of Operational Research, Elsevier, vol. 164(1), pages 185-194, July.
    13. Molleman, Eric & Slomp, Jannes & Rolefes, Samantha, 2002. "The evolution of a cellular manufacturing system - a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 75(3), pages 305-322, February.
    14. Hassan, Mohsen M. D., 1995. "Layout design in group technology manufacturing," International Journal of Production Economics, Elsevier, vol. 38(2-3), pages 173-188, March.
    15. Jack P. C. Kleijnen & Susan M. Sanchez & Thomas W. Lucas & Thomas M. Cioppa, 2005. "State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 263-289, August.
    16. David F. Muñoz & Peter W. Glynn, 2001. "Multivariate Standardized Time Series for Steady-State Simulation Output Analysis," Operations Research, INFORMS, vol. 49(3), pages 413-422, June.
    17. David Goldsman & Keebom Kang & Seong‐Hee Kim & Andrew F. Seila & Gamze Tokol, 2007. "Combining standardized time series area and Cramér–von Mises variance estimators," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(4), pages 384-396, June.
    18. Thürer, Matthias & Stevenson, Mark & Silva, Cristovao & Qu, Ting, 2017. "Drum-buffer-rope and workload control in High-variety flow and job shops with bottlenecks: An assessment by simulation," International Journal of Production Economics, Elsevier, vol. 188(C), pages 116-127.
    19. Olorunniwo, Festus & Udo, Godwin, 2002. "The impact of management and employees on cellular manufacturing implementation," International Journal of Production Economics, Elsevier, vol. 76(1), pages 27-38, March.
    20. Adenso-Diaz, Belarmino, 1996. "An SA/TS mixture algorithm for the scheduling tardiness problem," European Journal of Operational Research, Elsevier, vol. 88(3), pages 516-524, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:23:y:1995:i:4:p:443-452. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.