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Production-Line Balances for Mixed-Model Lines

Author

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  • J. L. C. Macaskill

    (University of Adelaide, Adelaide, South Australia)

Abstract

This paper considers the problem of mixed-model assembly-line balancing. First, the balance problem is formulated, and some of the difficulties of achieving effective balances in practice are noted. Next, balance procedures designed to obtain expeditious computer solutions of large-scale mixed-model balances are presented, and results obtained for a small-scale balance by a program incorporating these procedures are discussed. Effect on line performance is considered, and an estimate is made of the computer effort required to achieve a balance for a large-scale assembly operation. Finally some general conclusions are presented.

Suggested Citation

  • J. L. C. Macaskill, 1972. "Production-Line Balances for Mixed-Model Lines," Management Science, INFORMS, vol. 19(4-Part-1), pages 423-434, December.
    • Handle: RePEc:inm:ormnsc:v:19:y:1972:i:4-part-1:p:423-434
    DOI: 10.1287/mnsc.19.4.423
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    Cited by:

    1. 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.
    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, 2008. "Assembly line balancing: Which model to use when," International Journal of Production Economics, Elsevier, vol. 111(2), pages 509-528, February.
    4. Battaïa, Olga & Dolgui, Alexandre, 2013. "A taxonomy of line balancing problems and their solutionapproaches," International Journal of Production Economics, Elsevier, vol. 142(2), pages 259-277.
    5. 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.
    6. Bock, Stefan, 2008. "Supporting offshoring and nearshoring decisions for mass customization manufacturing processes," European Journal of Operational Research, Elsevier, vol. 184(2), pages 490-508, January.
    7. Yılmaz Delice & Emel Kızılkaya Aydoğan & Uğur Özcan & Mehmet Sıtkı İlkay, 2017. "A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 23-36, January.
    8. Boysen, Nils & Schulze, Philipp & Scholl, Armin, 2022. "Assembly line balancing: What happened in the last fifteen years?," European Journal of Operational Research, Elsevier, vol. 301(3), pages 797-814.
    9. 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.
    10. Marshall L. Fisher & Christopher D. Ittner, 1999. "The Impact of Product Variety on Automobile Assembly Operations: Empirical Evidence and Simulation Analysis," Management Science, INFORMS, vol. 45(6), pages 771-786, June.
    11. 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.
    12. Karabati, Selcuk & Sayin, Serpil, 2003. "Assembly line balancing in a mixed-model sequencing environment with synchronous transfers," European Journal of Operational Research, Elsevier, vol. 149(2), pages 417-429, September.
    13. 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.
    14. Hop, Nguyen Van, 2006. "A heuristic solution for fuzzy mixed-model line balancing problem," European Journal of Operational Research, Elsevier, vol. 168(3), pages 798-810, February.

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