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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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    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. 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.
    3. 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.

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