IDEAS home Printed from https://ideas.repec.org/a/wly/jnljam/v2013y2013i1n487694.html

An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems

Author

Listed:
  • Reza Raminfar
  • Norzima Zulkifli
  • Mohammadreza Vasili
  • Tang Sai Hong

Abstract

Cellular manufacturing (CM) is a production approach directed towards reducing costs, as well as increasing system′s flexibility in today′s small‐to‐medium lot production environment. Many structural and operational issues should be considered for a successful CM design and implementation such as cell formation (CF), production planning, and facility layout. Most researchers have addressed these issues sequentially or independently, instead of jointly optimizing a combination of these issues. In order to attain better results to ensure that the system will be capable of remaining efficient in unknown future situations, these issues should be addressed simultaneously. In this paper, a mathematical model is developed using an integrated approach for production planning and cell formation problems in a CM. A set of numerical examples are provided from existing the literature in order to test and illustrate the proposed model. In order to evaluate and verify the performance of the proposed model, it is compared with a well‐known cell formation methods (rank order clustering and direct clustering analysis), using group capability index (GCI) measure. The results and comparisons indicate that the proposed model has a significantly higher and satisfactory performance and it is reliable for the design and the analysis of CM systems.

Suggested Citation

  • Reza Raminfar & Norzima Zulkifli & Mohammadreza Vasili & Tang Sai Hong, 2013. "An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
  • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:487694
    DOI: 10.1155/2013/487694
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2013/487694
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2013/487694?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mingyuan Chen, 1998. "A mathematical programming model for system reconfiguration in a dynamic cellular manufacturing environment," Annals of Operations Research, Springer, vol. 77(0), pages 109-128, January.
    2. Singh, N., 1993. "Design of cellular manufacturing systems: An invited review," European Journal of Operational Research, Elsevier, vol. 69(3), pages 284-291, September.
    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. Reza Raminfar & Norzima Zulkifli & Mohammadreza Vasili, 2013. "A Mathematical Programming Model for Cell Formation Problem with Machine Replication," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).

    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. Bayraktar, O. Baturhan & Grunow, Martin & Kolisch, Rainer, 2025. "Dynamic reconfigurations of matrix assembly layouts," European Journal of Operational Research, Elsevier, vol. 326(1), pages 96-110.
    2. Ah kioon, Steve & Bulgak, Akif Asil & Bektas, Tolga, 2009. "Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration," European Journal of Operational Research, Elsevier, vol. 192(2), pages 414-428, January.
    3. Chen, Ja-Shen & Heragu, Sunderesh S., 1999. "Stepwise decomposition approaches for large scale cell formation problems," European Journal of Operational Research, Elsevier, vol. 113(1), pages 64-79, February.
    4. Joseph B. Mazzola & Robert H. Schantz, 1997. "Multiple‐facility loading under capacity‐based economies of scope," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(3), pages 229-256, April.
    5. Heragu, Sunderesh S. & Chen, Ja-Shen, 1998. "Optimal solution of cellular manufacturing system design: Benders' decomposition approach," European Journal of Operational Research, Elsevier, vol. 107(1), pages 175-192, May.
    6. Yang, Miin-Shen & Yang, Jenn-Hwai, 2008. "Machine-part cell formation in group technology using a modified ART1 method," European Journal of Operational Research, Elsevier, vol. 188(1), pages 140-152, July.
    7. Plaquin, Marie-France & Pierreval, Henri, 2000. "Cell formation using evolutionary algorithms with certain constraints," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 267-278, March.
    8. Reza Raminfar & Norzima Zulkifli & Mohammadreza Vasili, 2013. "A Mathematical Programming Model for Cell Formation Problem with Machine Replication," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    9. A. Attila İşlier, 2015. "Cellular Manufacturing Systems: Organization, Trends and Innovative Methods," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 13-26, December.
    10. Nsakanda, Aaron Luntala & Diaby, Moustapha & Price, Wilson L., 2006. "Hybrid genetic approach for solving large-scale capacitated cell formation problems with multiple routings," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1051-1070, June.
    11. Papaioannou, Grammatoula & Wilson, John M., 2010. "The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 206(3), pages 509-521, November.
    12. Defersha, Fantahun M. & Chen, Mingyuan, 2008. "A linear programming embedded genetic algorithm for an integrated cell formation and lot sizing considering product quality," European Journal of Operational Research, Elsevier, vol. 187(1), pages 46-69, May.
    13. Nair, G. Jayakrishnan & Narendran, T. T., 1997. "On the use of the asymptotic forms of the boolean matrix for designing cellular manufacturing systems -- An improved approach," European Journal of Operational Research, Elsevier, vol. 100(3), pages 429-440, August.
    14. Marc Peeters & Zeger Degraeve, 2004. "The Co-Printing Problem: A Packing Problem with a Color Constraint," Operations Research, INFORMS, vol. 52(4), pages 623-638, August.
    15. 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.
    16. Rogers, David F. & Kulkarni, Shailesh S., 2005. "Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing," European Journal of Operational Research, Elsevier, vol. 160(2), pages 423-444, January.
    17. Yang, Miin-Shen & Hung, Wen-Liang & Cheng, Fu-Chou, 2006. "Mixed-variable fuzzy clustering approach to part family and machine cell formation for GT applications," International Journal of Production Economics, Elsevier, vol. 103(1), pages 185-198, September.
    18. Arzi, Yohanan & Bukchin, Joseph & Masin, Michael, 2001. "An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment," European Journal of Operational Research, Elsevier, vol. 134(2), pages 346-364, October.
    19. Xambre, Ana R. & Vilarinho, Pedro M., 2003. "A simulated annealing approach for manufacturing cell formation with multiple identical machines," European Journal of Operational Research, Elsevier, vol. 151(2), pages 434-446, December.
    20. Belarmino Adenso-Díaz & Manuel Laguna, 2006. "Fine-Tuning of Algorithms Using Fractional Experimental Designs and Local Search," Operations Research, INFORMS, vol. 54(1), pages 99-114, February.

    More about this item

    Statistics

    Access and download statistics

    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:wly:jnljam:v:2013:y:2013:i:1:n:487694. 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: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/4185 .

    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.