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The Dynamic Line Allocation Problem

Author

Listed:
  • Reza H. Ahmadi

    (Anderson Graduate School of Management, University of California, Los Angeles, Los Angeles, California 90024)

  • Sriram Dasu

    (Anderson Graduate School of Management, University of California, Los Angeles, Los Angeles, California 90024)

  • Christopher S. Tang

    (Anderson Graduate School of Management, University of California, Los Angeles, Los Angeles, California 90024)

Abstract

Consider a plant that has information about the arrival schedule of its "inputs" over a planning cycle. The plant has parallel production lines for processing multiple types of products. However, changeover cost and changeover time are incurred when a line changes from processing one type of products to a different type of products. We present a dynamic line allocation problem that determines an optimal line allocation so that the total relevant cost (changeover and waiting costs) is minimized. In this paper we analyze the complexity of the problem and develop three different heuristics for generating near-optimal allocations.

Suggested Citation

  • Reza H. Ahmadi & Sriram Dasu & Christopher S. Tang, 1992. "The Dynamic Line Allocation Problem," Management Science, INFORMS, vol. 38(9), pages 1341-1353, September.
    • Handle: RePEc:inm:ormnsc:v:38:y:1992:i:9:p:1341-1353
    DOI: 10.1287/mnsc.38.9.1341
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    Citations

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    Cited by:

    1. Raf Jans, 2009. "Solving Lot-Sizing Problems on Parallel Identical Machines Using Symmetry-Breaking Constraints," INFORMS Journal on Computing, INFORMS, vol. 21(1), pages 123-136, February.
    2. Becker, Christian & Scholl, Armin, 2006. "A survey on problems and methods in generalized assembly line balancing," European Journal of Operational Research, Elsevier, vol. 168(3), pages 694-715, February.
    3. Drexl, Andreas & Kimms, Alf, 1996. "Lot sizing and scheduling: Survey and extensions," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 421, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    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. van Zante-de Fokkert, Jannet I. & de Kok, Ton G., 1997. "The mixed and multi model line balancing problem: a comparison," European Journal of Operational Research, Elsevier, vol. 100(3), pages 399-412, August.
    6. Sternatz, Johannes, 2014. "Enhanced multi-Hoffmann heuristic for efficiently solving real-world assembly line balancing problems in automotive industry," European Journal of Operational Research, Elsevier, vol. 235(3), pages 740-754.
    7. Jans, R.F., 2006. "Solving Lotsizing Problems on Parallel Identical Machines Using Symmetry Breaking Constraints," ERIM Report Series Research in Management ERS-2006-051-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.

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