IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v192y2009i2p414-428.html
   My bibliography  Save this article

Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration

Author

Listed:
  • Ah kioon, Steve
  • Bulgak, Akif Asil
  • Bektas, Tolga

Abstract

This paper presents and analyzes a comprehensive model for the design of cellular manufacturing systems (CMS). A recurring theme in research is a piecemeal approach when formulating CMS models. In this paper, the proposed model, to the best of the authors' knowledge, is the most comprehensive one to date with a more integrated approach to CMS design, where production planning and system reconfiguration decisions are incorporated. Such a CMS model has not been proposed before and it features the presence of alternate process routings, operation sequence, duplicate machines, machine capacity and lot splitting. The developed model is a mixed integer non-linear program. Linearization procedures are proposed to convert it into a linearized mixed integer programming formulation. Computational results are presented by solving some numerical examples, extracted from the existing literature, with the linearized formulation.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:414-428
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)00951-4
    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. Caux, C. & Bruniaux, R. & Pierreval, H., 2000. "Cell formation with alternative process plans and machine capacity constraints: A new combined approach," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 279-284, March.
    2. Venugopal, V. & Narendran, T. T., 1992. "Cell formation in manufacturing systems through simulated annealing: An experimental evaluation," European Journal of Operational Research, Elsevier, vol. 63(3), pages 409-422, December.
    3. Uddin, Muhammad Kutub & Shanker, Kripa, 2002. "Grouping of parts and machines in presence of alternative process routes by genetic algorithm," International Journal of Production Economics, Elsevier, vol. 76(3), pages 219-228, April.
    4. 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.
    5. 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.
    6. Defersha, Fantahun M. & Chen, Mingyuan, 2006. "A comprehensive mathematical model for the design of cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 103(2), pages 767-783, October.
    7. 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. 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.
    2. James Carlopio & Michael Harvey & Timothy Kiessling, 2012. "A key to prosperity in hypercompetitive markets: organizational “hyperflexibility”," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 24(2), pages 189-200.
    3. Xue, Guisen & Felix Offodile, O. & Zhou, Hong & Troutt, Marvin D., 2011. "Integrated production planning with sequence-dependent family setup times," International Journal of Production Economics, Elsevier, vol. 131(2), pages 674-681, June.
    4. Seebacher, Gottfried & Winkler, Herwig, 2014. "Evaluating flexibility in discrete manufacturing based on performance and efficiency," International Journal of Production Economics, Elsevier, vol. 153(C), pages 340-351.
    5. Hanxin Feng & Tangbin Xia & Wen Da & Lifeng Xi & Ershun Pan, 2019. "Concurrent design of cell formation and scheduling with consideration of duplicate machines and alternative process routings," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 275-289, January.
    6. Ricardo Soto & Broderick Crawford & Rodrigo Olivares & César Carrasco & Eduardo Rodriguez-Tello & Carlos Castro & Fernando Paredes & Hanns de la Fuente-Mella, 2020. "A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems," Mathematics, MDPI, vol. 8(9), pages 1-25, August.
    7. Ting Qu & Matthias Thürer & Junhao Wang & Zongzhong Wang & Huan Fu & Congdong Li & George Q. Huang, 2017. "System dynamics analysis for an Internet-of-Things-enabled production logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2622-2649, May.
    8. Safaei, Nima & Tavakkoli-Moghaddam, Reza, 2009. "Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 301-314, August.

    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. A. Attila İşlier, 2015. "Cellular Manufacturing Systems: Organization, Trends and Innovative Methods," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 13-26, December.
    2. 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.
    3. 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.
    4. 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.
    5. R Tavakkoli-Moghaddam & N Safaei & F Sassani, 2008. "A new solution for a dynamic cell formation problem with alternative routing and machine costs using simulated annealing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(4), pages 443-454, April.
    6. Defersha, Fantahun M. & Chen, Mingyuan, 2006. "A comprehensive mathematical model for the design of cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 103(2), pages 767-783, October.
    7. Safaei, Nima & Tavakkoli-Moghaddam, Reza, 2009. "Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 301-314, August.
    8. M Diaby & A L Nsakanda, 2006. "Large-scale capacitated part-routing in the presence of process and routing flexibilities and setup costs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(9), pages 1100-1112, September.
    9. Solimanpur, M. & Vrat, Prem & Shankar, Ravi, 2004. "A heuristic to minimize makespan of cell scheduling problem," International Journal of Production Economics, Elsevier, vol. 88(3), pages 231-241, April.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Anjos, Miguel F. & Vieira, Manuel V.C., 2017. "Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions," European Journal of Operational Research, Elsevier, vol. 261(1), pages 1-16.
    17. Feng, Yanling & Li, Guo & Sethi, Suresh P., 2018. "A three-layer chromosome genetic algorithm for multi-cell scheduling with flexible routes and machine sharing," International Journal of Production Economics, Elsevier, vol. 196(C), pages 269-283.
    18. Vila Goncalves Filho, Eduardo & Jose Tiberti, Alexandre, 2006. "A group genetic algorithm for the machine cell formation problem," International Journal of Production Economics, Elsevier, vol. 102(1), pages 1-21, July.
    19. Nearchou, Andreas C., 2006. "Meta-heuristics from nature for the loop layout design problem," International Journal of Production Economics, Elsevier, vol. 101(2), pages 312-328, June.
    20. John G. Klincewicz & Arvind Rajan, 1994. "Using grasp to solve the component grouping problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(7), pages 893-912, December.

    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:ejores:v:192:y:2009:i:2:p:414-428. 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/locate/eor .

    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.