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The sequence-dependent assembly line balancing problem

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  • Armin Scholl

    ()
    (University of Jena, Faculty of Economics)

  • Nils Boysen

    ()
    (University of Hamburg, Faculty of Economics and Social Science)

  • Malte Fliedner

    ()
    (University of Hamburg, Faculty of Economics and Social Science)

Abstract

The sequence-dependent assembly line balancing problem Abstract Assembly line balancing problems (ALBP) arise whenever an assembly line is configured, redesigned or adjusted. An ALBP consists of distributing the total workload for manufacturing any unit of the products to be assembled among the work stations along the line. The sequence-dependent assembly line balancing problem (SDALBP) is an extension of the standard simple assembly line balancing problem (SALBP) which has significant relevance in realworld assembly line settings. SDALBP extends the basic problem by considering sequencedependent task times. In this paper, we define this new problem, formulate several versions of a mixed-integer program, adapt solution approaches for SALBP to SDALBP, generate test data and perform some preliminary computational experiments. As a main result, we find that applying SALBP-based search procedures is very effective, whereas modeling and solving the problem with MIP standard software is not recommendable.

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File URL: http://dx.doi.org/10.1007/s00291-006-0070-3
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Bibliographic Info

Paper provided by Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät in its series Jenaer Schriften zur Wirtschaftswissenschaft with number 18/2006.

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Date of creation: 23 May 2006
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Publication status: Published in: OR Spectrum 30/3, 579-609
Handle: RePEc:jen:jenasw:2006-18

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Related research

Keywords: Assembly line balancing; Mass-production; Combinatorial optimization; Sequencing;

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References

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  1. 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.
  2. Susanne Büchner & Andreas Freytag & Luis González & Werner Güth, 2008. "Bribery and public procurement: an experimental study," Public Choice, Springer, vol. 137(1), pages 103-117, October.
  3. Uwe Cantner & Jens Kruger & Kristina von Rhein, 2011. "Knowledge compensation in the German automobile industry," Applied Economics, Taylor & Francis Journals, vol. 43(22), pages 2941-2951.
  4. Sebastian von Engelhardt, 2006. "Die ökonomischen Eigenschaften von Software," Jenaer Schriften zur Wirtschaftswissenschaft 14/2006, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
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Citations

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Cited by:
  1. Armin Scholl & Nils Boysen, 2008. "The Multiproduct Parallel Assembly Lines Balancing Problem: Model and Optimization Procedure," Jena Research Papers in Business and Economics - Working and Discussion Papers 13/2008, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
  2. Armin Scholl & Malte Fliedner & Nils Boysen, 2008. "Absalom: Balancing assembly lines with assignment restrictions," Jena Research Papers in Business and Economics - Working and Discussion Papers 02/2008, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
  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. Armin Scholl & Nils Boysen & Malte Fliedner, 2008. "Optimally solving the Alternative Subgraphs Assembly Line Balancing Problem," Jena Research Papers in Business and Economics - Working and Discussion Papers 05/2008, Friedrich-Schiller-University Jena, School of Economics and Business Administration.

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