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Balancing Mixed Model Lines with In-Process Inventories

Author

Listed:
  • Amiya K. Chakravarty

    (School of Business Administration, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53201)

  • Avraham Shtub

    (Department of Industrial Engineering, Tel Aviv University, P.O. Box 39040, Ramat Aviv 69978, Israel)

Abstract

This paper deals with mixed-model line balancing; i.e., the problem of combining line balancing with lot sizing in a multi-product environment. Recent developments in the area of multi-echelon production/inventory systems are applied, and algorithms are developed which determine the number of work stations required along the line, the tasks assigned to each station, and the cycle time. The algorithms are designed to minimize total production costs composed of labor costs, inventory carrying costs, and setup costs. Computational results are presented to illustrate the ability of the algorithms to design mixed model lines effectively and efficiently.

Suggested Citation

  • Amiya K. Chakravarty & Avraham Shtub, 1985. "Balancing Mixed Model Lines with In-Process Inventories," Management Science, INFORMS, vol. 31(9), pages 1161-1174, September.
    • Handle: RePEc:inm:ormnsc:v:31:y:1985:i:9:p:1161-1174
    DOI: 10.1287/mnsc.31.9.1161
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    Citations

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    Cited by:

    1. Erel, Erdal & Gokcen, Hadi, 1999. "Shortest-route formulation of mixed-model assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 116(1), pages 194-204, July.
    2. Bukchin, Joseph & Masin, Michael, 2004. "Multi-objective design of team oriented assembly systems," European Journal of Operational Research, Elsevier, vol. 156(2), pages 326-352, July.
    3. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2007. "A classification of assembly line balancing problems," European Journal of Operational Research, Elsevier, vol. 183(2), pages 674-693, December.
    4. Bukchin, Joseph & Darel, Ezey & Rubinovitz, Jacob, 1997. "Team-oriented assembly system design: A new approach," International Journal of Production Economics, Elsevier, vol. 51(1-2), pages 47-57, August.
    5. Yavuz, Mesut & Tufekci, Suleyman, 2006. "A bounded dynamic programming solution to the batching problem in mixed-model just-in-time manufacturing systems," International Journal of Production Economics, Elsevier, vol. 103(2), pages 841-862, October.
    6. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2008. "Assembly line balancing: Which model to use when," International Journal of Production Economics, Elsevier, vol. 111(2), pages 509-528, February.
    7. 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.
    8. 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.
    9. Kim, Yeo Keun & Kim, Jae Yun & Kim, Yeongho, 2006. "An endosymbiotic evolutionary algorithm for the integration of balancing and sequencing in mixed-model U-lines," European Journal of Operational Research, Elsevier, vol. 168(3), pages 838-852, February.

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