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An Integrated Model for Job-Shop Planning and Scheduling

Author

Listed:
  • J. B. Lasserre

    (LAAS-CNRS, 7 Avenue du Colonel Roche, 31077 Toulouse Cedex, France)

Abstract

We consider an integrated job-shop planning and scheduling model. To solve the problem we use a (multi-pass) decomposition approach which alternates between solving a planning problem with a fixed sequence of products on the machines, and a job-shop scheduling problem for a fixed choice of the production plan. The generated production plans are feasible i.e., there exists at least one feasible schedule to realize that plan. Quality of the solution is investigated and numerical results are presented.

Suggested Citation

  • J. B. Lasserre, 1992. "An Integrated Model for Job-Shop Planning and Scheduling," Management Science, INFORMS, vol. 38(8), pages 1201-1211, August.
    • Handle: RePEc:inm:ormnsc:v:38:y:1992:i:8:p:1201-1211
    DOI: 10.1287/mnsc.38.8.1201
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    Cited by:

    1. Wen, Haijun & Hou, Shiwang & Liu, Zhaohua & Liu, Yongjiang, 2017. "An optimization algorithm for integrated remanufacturing production planning and scheduling system," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 69-76.
    2. Guyon, O. & Lemaire, P. & Pinson, É. & Rivreau, D., 2010. "Cut generation for an integrated employee timetabling and production scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 557-567, March.
    3. Jans, R.F. & Degraeve, Z., 2005. "Modeling Industrial Lot Sizing Problems: A Review," ERIM Report Series Research in Management ERS-2005-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Drexl, A. & Kimms, A., 1997. "Lot sizing and scheduling -- Survey and extensions," European Journal of Operational Research, Elsevier, vol. 99(2), pages 221-235, June.
    5. Wei, Wenchao & Guimarães, Luis & Amorim, Pedro & Almada-Lobo, Bernardo, 2017. "Tactical production and distribution planning with dependency issues on the production process," Omega, Elsevier, vol. 67(C), pages 99-114.
    6. Kimms, Alf & Drexl, Andreas, 1996. "Multi-level lot sizing: A literature survey," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 405, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    7. Brahimi, Nadjib & Absi, Nabil & Dauzère-Pérès, Stéphane & Nordli, Atle, 2017. "Single-item dynamic lot-sizing problems: An updated survey," European Journal of Operational Research, Elsevier, vol. 263(3), pages 838-863.
    8. Chen, Kejia & Ji, Ping, 2007. "A mixed integer programming model for advanced planning and scheduling (APS)," European Journal of Operational Research, Elsevier, vol. 181(1), pages 515-522, August.
    9. Meyr, Herbert & Mann, Matthias, 2013. "A decomposition approach for the General Lotsizing and Scheduling Problem for Parallel production Lines," European Journal of Operational Research, Elsevier, vol. 229(3), pages 718-731.
    10. Yu-Wei An & Hong-Sen Yan, 2016. "Lagrangean relaxation approach to joint optimization for production planning and scheduling of synchronous assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6718-6735, November.
    11. Kolisch, R., 2000. "Integration of assembly and fabrication for make-to-order production," International Journal of Production Economics, Elsevier, vol. 68(3), pages 287-306, December.
    12. Józefowska, J. & Zimniak, A., 2008. "Optimization tool for short-term production planning and scheduling," International Journal of Production Economics, Elsevier, vol. 112(1), pages 109-120, March.
    13. Brahimi, Nadjib & Dauzere-Peres, Stephane & Najid, Najib M. & Nordli, Atle, 2006. "Single item lot sizing problems," European Journal of Operational Research, Elsevier, vol. 168(1), pages 1-16, January.

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