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A Cost-Based Methodology for Stochastic Line Balancing with Intermittent Line Stoppages

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Author Info

  • Fred N. Silverman

    (Lubin Graduate School of Business, Pace University, White Plains, New York 10601)

  • John C. Carter

    (Lubin Graduate School of Business, Pace University, White Plains, New York 10601)

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    Abstract

    This paper examines the effect of stochastic task times on the total operating costs of a continuously paced assembly line under the assumption that the line is stopped whenever at least one work station requires more time than allotted. A comprehensive stochastic cost function is integrated into an efficient balancing algorithm to enable an approximately minimum cost balance to be obtained. An experiment was conducted to determine the cost savings resulting from using the stochastic method as compared to two deterministic methods. The stochastic method of this paper produced lower cost balances in most cases studied.

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    File URL: http://dx.doi.org/10.1287/mnsc.32.4.455
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 32 (1986)
    Issue (Month): 4 (April)
    Pages: 455-463

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    Handle: RePEc:inm:ormnsc:v:32:y:1986:i:4:p:455-463

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    Related research

    Keywords: production/scheduling: line balancing; facilities/equipment planning: design; costing;

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    Cited by:
    1. Sarin, Subhash C. & Erel, Erdal & Dar-El, Ezey M., 1999. "A methodology for solving single-model, stochastic assembly line balancing problem," Omega, Elsevier, vol. 27(5), pages 525-535, October.
    2. McMullen, Patrick R. & Frazier, Gregory V., 1997. "A heuristic for solving mixed-model line balancing problems with stochastic task durations and parallel stations," International Journal of Production Economics, Elsevier, vol. 51(3), pages 177-190, September.
    3. Chiang, Wen-Chyuan & Urban, Timothy L., 2006. "The stochastic U-line balancing problem: A heuristic procedure," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1767-1781, December.
    4. 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.
    5. Gamberini, Rita & Grassi, Andrea & Rimini, Bianca, 2006. "A new multi-objective heuristic algorithm for solving the stochastic assembly line re-balancing problem," International Journal of Production Economics, Elsevier, vol. 102(2), pages 226-243, August.
    6. Gokcen, Hadi & Faruk Baykoc, O., 1999. "A new line remedial policy for the paced lines with stochastic task times," International Journal of Production Economics, Elsevier, vol. 58(2), pages 191-197, January.

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