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Interactive bicriterion decision support for a large scale industrial scheduling system

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  • Ioanna Makarouni
  • John Psarras
  • Eleftherios Siskos

Abstract

In this paper we develop an interactive decision analysis approach to treat a large scale bicriterion integer programming problem, addressing a real world assembly line scheduling problem of a manufacturing company. This company receives periodically a set of orders for the production of specific items (jobs) through a number of specialised production (assembly) lines. The paper presents a non compensatory approach based on an interactive implementation of the ε-constraint method that enables the decision maker to achieve a satisfactory goal for each objective separately. In fact, the method generates and evaluates a large number of non dominated solutions that constitute a representative sample of the criteria ranges. The experience with a specific numerical example shows the efficiency and usefulness of the proposed model in solving large scale bicriterion industrial integer programming problems, highlighting at the same time the modelling limitations. Copyright Springer Science+Business Media New York 2015

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  • Ioanna Makarouni & John Psarras & Eleftherios Siskos, 2015. "Interactive bicriterion decision support for a large scale industrial scheduling system," Annals of Operations Research, Springer, vol. 227(1), pages 45-61, April.
    • Handle: RePEc:spr:annopr:v:227:y:2015:i:1:p:45-61:10.1007/s10479-013-1406-4
    DOI: 10.1007/s10479-013-1406-4
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    1. Laumanns, Marco & Thiele, Lothar & Zitzler, Eckart, 2006. "An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method," European Journal of Operational Research, Elsevier, vol. 169(3), pages 932-942, March.
    2. Masoud Rabbani & Alireza Rahimi-Vahed & Babak Javadi & Reza Tavakkoli-Moghaddam, 2007. "A New Approach for Mixed-Model Assembly Line Sequencing," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 169-174, Springer.
    3. Bérubé, Jean-François & Gendreau, Michel & Potvin, Jean-Yves, 2009. "An exact [epsilon]-constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with Profits," European Journal of Operational Research, Elsevier, vol. 194(1), pages 39-50, April.
    4. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, December.
    5. George Steiner & Scott Yeomans, 1993. "Level Schedules for Mixed-Model, Just-in-Time Processes," Management Science, INFORMS, vol. 39(6), pages 728-735, June.
    6. John Miltenburg, 1989. "Level Schedules for Mixed-Model Assembly Lines in Just-In-Time Production Systems," Management Science, INFORMS, vol. 35(2), pages 192-207, February.
    7. Korkmazel, Tugrul & Meral, Sedef, 2001. "Bicriteria sequencing methods for the mixed-model assembly line in just-in-time production systems," European Journal of Operational Research, Elsevier, vol. 131(1), pages 188-207, May.
    8. Robert R. Inman & Robert L. Bulfin, 1991. "Note---Sequencing JIT Mixed-Model Assembly Lines," Management Science, INFORMS, vol. 37(7), pages 901-904, July.
    9. Bautista, J. & Companys, R. & Corominas, A., 1996. "Heuristics and exact algorithms for solving the Monden problem," European Journal of Operational Research, Elsevier, vol. 88(1), pages 101-113, January.
    10. Steiner, George & Yeomans, Julian Scott, 1996. "Optimal level schedules in mixed-model, multi-level JIT assembly systems with pegging," European Journal of Operational Research, Elsevier, vol. 95(1), pages 38-52, November.
    11. Zhu, Jin & Ding, Fong-Yuen, 2000. "A transformed two-stage method for reducing the part-usage variation and a comparison of the product-level and part-level solutions in sequencing mixed-model assembly lines," European Journal of Operational Research, Elsevier, vol. 127(1), pages 203-216, November.
    12. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2009. "Sequencing mixed-model assembly lines: Survey, classification and model critique," European Journal of Operational Research, Elsevier, vol. 192(2), pages 349-373, January.
    13. 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.
    14. G.J. Miltenburg & T. Goldstein, 1991. "Developing production schedules which balance part usage and smooth production loads for just‐in‐time production systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(6), pages 893-910, December.
    15. 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.
    16. 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.
    17. Seyed Mohammed Mirghorbani & Masoud Rabbani & Reza Tavakkoli-Moghaddam & Alireza R. Rahimi-Vahed, 2007. "A Multi-Objective Particle Swarm for a Mixed-Model Assembly Line Sequencing," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 181-186, Springer.
    18. T'kindt, Vincent & Billaut, Jean-Charles, 2005. "Multicriteria scheduling," European Journal of Operational Research, Elsevier, vol. 167(3), pages 589-591, December.
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    Cited by:

    1. Peng Wu & Junheng Cheng & Feng Chu, 2021. "Large-scale energy-conscious bi-objective single-machine batch scheduling under time-of-use electricity tariffs via effective iterative heuristics," Annals of Operations Research, Springer, vol. 296(1), pages 471-494, January.
    2. Ioanna Makarouni & Eleftherios Siskos & John Psarras, 2016. "Multiobjective large scale job sequencing optimization based on a synergy of compensatory and non compensatory methods," Operational Research, Springer, vol. 16(2), pages 223-244, July.
    3. Gökçe Kiliçkaya & Tarik Küçükdeniz & Şakir Esnaf, 2021. "Fuzzy Clustering With Derivative–Free Search Algorithm for Location of Biogas Energy Systems," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(4), pages 1-19, October.

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