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Resequencing of mixed-model assembly lines: Survey and research agenda

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  • Nils Boysen

    ()
    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

  • Armin Scholl

    ()
    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

  • Nico Wopperer

Abstract

Nowadays, mixed-model assembly lines are applied in a wide range of industries to mass-produce customized products to order, e.g., in automobile industry. An important decision problem in this context receiving a lot of attention from researchers and practitioners is the sequencing problem, which decides on the succession of workpieces launched down the line. However, if multiple departments with diverging sequencing objectives are to be passed or unforeseen disturbances like machine breakdowns or material shortages occur, a resequencing of a given production sequence often becomes equally essential. This paper reviews existing research on resequencing in a mixed-model assembly line context. Important problem settings, alternative buffer configurations, and resulting decision problems are described. Finally, future research needs are identified as some relevant real-world resequencing settings have not been dealt with in literature up to now.

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Bibliographic Info

Paper provided by Friedrich-Schiller-University Jena, School of Economics and Business Administration in its series Jena Research Papers in Business and Economics - Working and Discussion Papers with number 03/2011.

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Date of creation: 2011
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Publication status: Published in: European Journal of Operational Research 216/3 (2012), 594-604.
Handle: RePEc:jen:jenjbe:2011-03

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Keywords: Mixed-model assembly line; Resequencing; Survey;

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References

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  1. Prandtstetter, Matthias & Raidl, Günther R., 2008. "An integer linear programming approach and a hybrid variable neighborhood search for the car sequencing problem," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1004-1022, December.
  2. McMullen, P.R. & Tarasewich, Peter, 2005. "A beam search heuristic method for mixed-model scheduling with setups," International Journal of Production Economics, Elsevier, vol. 96(2), pages 273-283, May.
  3. Kubiak, Wieslaw, 1993. "Minimizing variation of production rates in just-in-time systems: A survey," European Journal of Operational Research, Elsevier, vol. 66(3), pages 259-271, May.
  4. Mansouri, S. Afshin, 2005. "A Multi-Objective Genetic Algorithm for mixed-model sequencing on JIT assembly lines," European Journal of Operational Research, Elsevier, vol. 167(3), pages 696-716, December.
  5. 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.
  6. McMullen, Patrick R., 2001. "A Kohonen self-organizing map approach to addressing a multiple objective, mixed-model JIT sequencing problem," International Journal of Production Economics, Elsevier, vol. 72(1), pages 59-71, June.
  7. Eric Bonabeau & Guy Theraulaz & Jean-Louis Deneubourg, 1998. "Fixed Response Thresholds and the Regulation of Division of Labor in Insect Societies," Working Papers 98-01-009, Santa Fe Institute.
  8. Cordeau, Jean-François & Laporte, Gilbert & Pasin, Federico, 2008. "Iterated tabu search for the car sequencing problem," European Journal of Operational Research, Elsevier, vol. 191(3), pages 945-956, December.
  9. Nils Boysen & Malte Fliedner & Armin Scholl, 2010. "Level scheduling under limited resequencing flexibility," Jena Research Papers in Business and Economics - Working and Discussion Papers 06/2010, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
  10. Gagne, Caroline & Gravel, Marc & Price, Wilson L., 2006. "Solving real car sequencing problems with ant colony optimization," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1427-1448, November.
  11. Wieslaw Kubiak & Suresh Sethi, 1991. "A Note on "Level Schedules for Mixed-Model Assembly Lines in Just-in-Time Production Systems"," Management Science, INFORMS, vol. 37(1), pages 121-122, January.
  12. George Steiner & Scott Yeomans, 1993. "Level Schedules for Mixed-Model, Just-in-Time Processes," Management Science, INFORMS, vol. 39(6), pages 728-735, June.
  13. Zhi-Long Chen & George L. Vairaktarakis, 2005. "Integrated Scheduling of Production and Distribution Operations," Management Science, INFORMS, vol. 51(4), pages 614-628, April.
  14. Nils Boysen & Malte Fliedner & Armin Scholl, 2007. "Sequencing mixed-model assembly lines: Survey, classification and model critique," Jena Research Papers in Business and Economics - Working and Discussion Papers 02/2007, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
  15. Solnon, Christine & Cung, Van Dat & Nguyen, Alain & Artigues, Christian, 2008. "The car sequencing problem: Overview of state-of-the-art methods and industrial case-study of the ROADEF'2005 challenge problem," European Journal of Operational Research, Elsevier, vol. 191(3), pages 912-927, December.
  16. Ribeiro, Celso C. & Aloise, Daniel & Noronha, Thiago F. & Rocha, Caroline & Urrutia, Sebastián, 2008. "A hybrid heuristic for a multi-objective real-life car sequencing problem with painting and assembly line constraints," European Journal of Operational Research, Elsevier, vol. 191(3), pages 981-992, December.
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Cited by:
  1. Dolgui, Alexandre & Kovalev, Sergey & Kovalyov, Mikhail Y. & Nossack, Jenny & Pesch, Erwin, 2014. "Minimizing setup costs in a transfer line design problem with sequential operation processing," International Journal of Production Economics, Elsevier, vol. 151(C), pages 186-194.
  2. Moreira, Mayron César O. & Costa, Alysson M., 2013. "Hybrid heuristics for planning job rotation schedules in assembly lines with heterogeneous workers," International Journal of Production Economics, Elsevier, vol. 141(2), pages 552-560.

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