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Heuristic methods for cost-oriented assembly line balancing: A survey

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  • Amen, Matthias

Abstract

This paper is concerned with cost-oriented assembly line balancing. This problem occurs especially in the final assembly of automotives, consumer durables or personal computers, where production is still very labour- intensive, and where the wage rates depend on the requirements and qualifications to fulfil the work. First a short problem description is presented. After that a classi"cation of existent and new heuristic methods for solving this problem is given. The heuristic methods presented in this paper are described in detail. A new priority rule called ` best change of idle cost a is proposed. This priority rule di!ers from the existent priority rules because it is the only one which considers that production cost are the result of both, production time and cost rates. Furthermore a new sophisticated method called ` exact solution of sliding problem windows a is presented. The solution process is illustrated by an example, showing how this metaheuristic works together with an exact method.
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  • Amen, Matthias, 2000. "Heuristic methods for cost-oriented assembly line balancing: A survey," International Journal of Production Economics, Elsevier, vol. 68(1), pages 1-14, October.
    • Handle: RePEc:eee:proeco:v:68:y:2000:i:1:p:1-14
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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).
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    5. Amen, Matthias, 2001. "Heuristic methods for cost-oriented assembly line balancing: A comparison on solution quality and computing time," International Journal of Production Economics, Elsevier, vol. 69(3), pages 255-264, February.
    6. James R. Jackson, 1956. "A Computing Procedure for a Line Balancing Problem," Management Science, INFORMS, vol. 2(3), pages 261-271, April.
    7. Raymond Reiter, 1969. "On Assembly-Line Balancing Problems," Operations Research, INFORMS, vol. 17(4), pages 685-700, August.
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    Cited by:

    1. Amen, Matthias, 2001. "Heuristic methods for cost-oriented assembly line balancing: A comparison on solution quality and computing time," International Journal of Production Economics, Elsevier, vol. 69(3), pages 255-264, February.
    2. 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.
    3. Boysen, Nils & Fliedner, Malte, 2008. "A versatile algorithm for assembly line balancing," European Journal of Operational Research, Elsevier, vol. 184(1), pages 39-56, January.
    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. Zixiang Li & Mukund Nilakantan Janardhanan & S. G. Ponnambalam, 2021. "Cost-oriented robotic assembly line balancing problem with setup times: multi-objective algorithms," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 989-1007, April.
    6. 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.
    7. Scholl, Armin & Becker, Christian, 2005. "A note on "An exact method for cost-oriented assembly line balancing"," International Journal of Production Economics, Elsevier, vol. 97(3), pages 343-352, September.
    8. Sternatz, Johannes, 2014. "Enhanced multi-Hoffmann heuristic for efficiently solving real-world assembly line balancing problems in automotive industry," European Journal of Operational Research, Elsevier, vol. 235(3), pages 740-754.
    9. 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.
    10. 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.
    11. Dashuang Li & Chaoyong Zhang & Xinyu Shao & Wenwen Lin, 2016. "A multi-objective TLBO algorithm for balancing two-sided assembly line with multiple constraints," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 725-739, August.
    12. Kahan, Tomer & Bukchin, Yossi & Menassa, Roland & Ben-Gal, Irad, 2009. "Backup strategy for robots' failures in an automotive assembly system," International Journal of Production Economics, Elsevier, vol. 120(2), pages 315-326, August.
    13. Dolgui, A. & Ihnatsenka, I., 2009. "Branch and bound algorithm for a transfer line design problem: Stations with sequentially activated multi-spindle heads," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1119-1132, September.
    14. Amen, Matthias, 2006. "Cost-oriented assembly line balancing: Model formulations, solution difficulty, upper and lower bounds," European Journal of Operational Research, Elsevier, vol. 168(3), pages 747-770, February.
    15. 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.

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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