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Heuristic methods for cost-oriented assembly line balancing: a comparison on solution quality and computing time

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Author Info

  • Matthias Amen

    (University of Duisburg & Essen)

Abstract

This paper is focused on the solution quality and computing time requirements of heuristic methods for cost-oriented assembly line balancing. It is based on a recent paper (Amen, International Journal of Production Economics 68 (2000), which describes in detail the solution process of existent and two new heuristics. After a short review of the historic origin and the wideness of assembly line systems in present day industry, the paper emphasizes the economic view of production in order to cut down production cost. Results of a worst-case analysis concerning the solution quality and the computing time are presented. An interval for the worst-case-solution quality for most heuristic methods is given. The results of an experimental investigation show that the new priority rule "best change of idle cost" (Amen) achieves significantly better solutions than the existent priority rules. Furthermore, the new method "exact solution of sliding problem windows" (Amen) has been found to be the best heuristic method known so far.

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File URL: http://128.118.178.162/eps/ge/papers/0309/0309004.pdf
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Bibliographic Info

Paper provided by EconWPA in its series GE, Growth, Math methods with number 0309004.

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Length: 10 pages
Date of creation: 09 Sep 2003
Date of revision: 09 Sep 2003
Handle: RePEc:wpa:wuwpge:0309004

Note: Type of Document - pdf; pages: 10 ; figures: 2 tables. Published in International Journal of Production Economics, Vol. 69, No. 3, 13 February 2001
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Web page: http://128.118.178.162

Related research

Keywords: Assembly line balancing; Cost-oriented production planning; Heuristic methods;

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References

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  1. Amen, Matthias, 2000. "An exact method for cost-oriented assembly line balancing," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 187-195, March.
  2. Scholl, Armin, 1995. "Balancing and sequencing of assembly lines," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 9690, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  3. James R. Jackson, 1956. "A Computing Procedure for a Line Balancing Problem," Management Science, INFORMS, vol. 2(3), pages 261-271, April.
  4. Fred M. Tonge, 1965. "Assembly Line Balancing Using Probabilistic Combinations of Heuristics," Management Science, INFORMS, vol. 11(7), pages 727-735, May.
  5. Matthias Amen, 2003. "Heuristic methods for cost-oriented assembly line balancing: a survey," GE, Growth, Math methods, EconWPA 0309003, EconWPA, revised 09 Sep 2003.
  6. Anthony A. Mastor, 1970. "An Experimental Investigation and Comparative Evaluation of Production Line Balancing Techniques," Management Science, INFORMS, vol. 16(11), pages 728-746, July.
  7. F. Brian Talbot & James H. Patterson & William V. Gehrlein, 1986. "A Comparative Evaluation of Heuristic Line Balancing Techniques," Management Science, INFORMS, vol. 32(4), pages 430-454, April.
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Cited by:
  1. Nils Boysen & Malte Fliedner & Armin Scholl, 2006. "Assembly line balancing: Which model to use when?," Jenaer Schriften zur Wirtschaftswissenschaft 23/2006, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  2. 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.
  3. Armin Scholl & Christian Becker, 2003. "A note on "An exact method for cost-oriented assembly line balancing"," Jenaer Schriften zur Wirtschaftswissenschaft 22/2003, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  4. Guschinskaya, Olga & Dolgui, Alexandre, 2009. "Comparison of exact and heuristic methods for a transfer line balancing problem," International Journal of Production Economics, Elsevier, vol. 120(2), pages 276-286, August.
  5. Chen, Ruey-Shun & Lu, Kun-Yung & Tai, Pei-Hao, 2004. "Optimizing assembly planning through a three-stage integrated approach," International Journal of Production Economics, Elsevier, vol. 88(3), pages 243-256, April.
  6. Miralles, Cristobal & Garcia-Sabater, Jose Pedro & Andres, Carlos & Cardos, Manuel, 2007. "Advantages of assembly lines in Sheltered Work Centres for Disabled. A case study," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 187-197, October.
  7. Otto, Alena & Otto, Christian & Scholl, Armin, 2013. "Systematic data generation and test design for solution algorithms on the example of SALBPGen for assembly line balancing," European Journal of Operational Research, Elsevier, vol. 228(1), pages 33-45.

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