IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Models for MMSP-W considering workstation dependencies: A case study of Nissan’s Barcelona plant

Listed author(s):
  • Bautista, Joaquín
  • Cano, Alberto
  • Alfaro, Rocío
Registered author(s):

    In this article, we present two formulations and their unification for the Mixed-Model Sequencing Problem with Workload Minimisation (MMSP-W) for production lines with serial workstations and parallel homogeneous processors. The models were executed in Solver CPLEX, with reference instances and with a case study of Nissan’s Powertrain plant in Barcelona. Different situations were analysed to evaluate investments in projects designed to improve process and product design and reduce work overloads in the line at short-, intermediate- and long-term intervals.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 223 (2012)
    Issue (Month): 3 ()
    Pages: 669-679

    in new window

    Handle: RePEc:eee:ejores:v:223:y:2012:i:3:p:669-679
    DOI: 10.1016/j.ejor.2012.07.006
    Contact details of provider: Web page:

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Scholl, Armin & Klein, & Domschke, Wolfgang, 1998. "Pattern based vocabulary building for effectively sequencing mixed model assembly lines," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 9365, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Bautista, J. & Companys, R. & Corominas, A., 1996. "Heuristics and exact algorithms for solving the Monden problem," European Journal of Operational Research, Elsevier, vol. 88(1), pages 101-113, January.
    3. Candace Arai Yano & Ram Rachamadugu, 1991. "Sequencing to Minimize Work Overload in Assembly Lines with Product Options," Management Science, INFORMS, vol. 37(5), pages 572-586, May.
    4. Rajendran, Chandrasekharan & Chaudhuri, Dipak, 1992. "Scheduling in n-job, m-stage flowshop with parallel processors to minimize makespan," International Journal of Production Economics, Elsevier, vol. 27(2), pages 137-143, May.
    5. Ding, Fong-Yuen & Zhu, Jin & Sun, Hui, 2006. "Comparing two weighted approaches for sequencing mixed-model assembly lines with multiple objectives," International Journal of Production Economics, Elsevier, vol. 102(1), pages 108-131, July.
    6. Li-Hui Tsai, 1995. "Mixed-Model Sequencing to Minimize Utility Work and the Risk of Conveyor Stoppage," Management Science, INFORMS, vol. 41(3), pages 485-495, March.
    7. Miltenburg, John, 1993. "A theoretical framework for understanding why JIT reduces cost and cycle time and improves quality," International Journal of Production Economics, Elsevier, vol. 30(1), pages 195-204, July.
    8. Tamura, Takayoshi & Long, Hong & Ohno, Katsuhisa, 1999. "A sequencing problem to level part usage rates and work loads for a mixed-model assembly line with a bypass subline," International Journal of Production Economics, Elsevier, vol. 60(1), pages 557-564, April.
    9. Bautista, Joaquin & Pereira, Jordi, 2007. "Ant algorithms for a time and space constrained assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 177(3), pages 2016-2032, March.
    10. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2009. "Sequencing mixed-model assembly lines: Survey, classification and model critique," European Journal of Operational Research, Elsevier, vol. 192(2), pages 349-373, January.
    11. Bautista, Joaquin & Cano, Jaime, 2008. "Minimizing work overload in mixed-model assembly lines," International Journal of Production Economics, Elsevier, vol. 112(1), pages 177-191, March.
    12. Bautista, Joaquín & Cano, Alberto, 2011. "Solving mixed model sequencing problem in assembly lines with serial workstations with work overload minimisation and interruption rules," European Journal of Operational Research, Elsevier, vol. 210(3), pages 495-513, May.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:223:y:2012:i:3:p:669-679. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.