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Optimizing Product Mix in a Multi-bottleneck Environment Using Group Decision-Making Approach

  • Conference paper
Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3483))

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Abstract

Determining product mix under the theory of constraints (TOC) has been widely considered by many researchers. The product mix problem in a multi-bottleneck environment is much more complicated than a single-bottleneck system. In all researches, which have been done in this field, only one criterion has been considered and it is the profit resulted from allocating one unit of bottleneck capacity to each product. In this paper, another criterion is considered together with the first one. The new criterion, which is very important in decision-making, is late delivery cost. Another contribution of the paper is that it assumes each bottleneck as a decision-maker and applies group decision-making techniques. The new approach benefits from the advantage of reaching optimum solution. This will be shown through an example and the results of the new approach will be used in the objective function of an integer linear programming (ILP) model in order to reach optimum solution.

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Author information

Authors and Affiliations

  1. Firoozkoh unit, Islamic Azad University, Iran

    Alireza Rashidi Komijan

  2. Iran University of Science and Technology, Tehran, Iran

    S. J. Sadjadi

Authors
  1. Alireza Rashidi Komijan
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  2. S. J. Sadjadi
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Komijan, A.R., Sadjadi, S.J. (2005). Optimizing Product Mix in a Multi-bottleneck Environment Using Group Decision-Making Approach. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_42

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  • DOI: https://doi.org/10.1007/11424925_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25863-6

  • Online ISBN: 978-3-540-32309-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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