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Backup strategy for robots' failures in an automotive assembly system

  • Kahan, Tomer
  • Bukchin, Yossi
  • Menassa, Roland
  • Ben-Gal, Irad
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    Automotive assembly lines are often characterized by robots' failures that may result in stoppages of the lines and manual backup of tasks. The phenomena tend to impair throughput rate and products' quality. This paper presents a backup strategy in which working robots perform tasks of failed robots. The proposed Mixed-Integer Linear-Programming based approach minimizes the throughput loss by utilizing the robots' redundancy in the system. Two algorithms are developed to comply with stochastic conditions of a real-world environment. The performance of these algorithms is compared with several heuristics, and the downstream-backup based algorithm is found superior to all other methods.

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    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 120 (2009)
    Issue (Month): 2 (August)
    Pages: 315-326

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    Handle: RePEc:eee:proeco:v:120:y:2009:i:2:p:315-326
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    1. 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.
    2. Armin Scholl & Christian Becker, 2003. "A survey on problems and methods in generalized assembly line balancing," Jenaer Schriften zur Wirtschaftswissenschaft 21/2003, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
    3. Matthias Amen, 2003. "Heuristic methods for cost-oriented assembly line balancing: a survey," GE, Growth, Math methods 0309003, EconWPA, revised 09 Sep 2003.
    4. Scholl, Armin & Becker, Christian, 2006. "State-of-the-art exact and heuristic solution procedures for simple assembly line balancing," European Journal of Operational Research, Elsevier, vol. 168(3), pages 666-693, February.
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