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Fuzzy Linear Programming For Decision Making And Planning Under Uncertainty

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  • PANDIAN M. VASANT

    (Electrical & Electronic Engineering Program, Universiti Teknologi Petronas, 31750 Tronoh, BSI, Perak DR, Malaysia)

Abstract

In this paper, theS-curve membership function methodology is used in a real life industrial problem of mix product selection. This problem occurs in the chocolate manufacturing industry whereby a decision maker, analyst and implementer play important roles in making decisions in an uncertain environment. As analysts, we try to find a solution with a higher level of satisfaction for the decision maker to make a final decision. This problem of mix product selection is considered because all the coefficients such as objective, technical and resource variables are fuzzy. This is considered as one of the sufficiently large problem involving 29 constraints and 8 variables. A decision maker can identify which vagueness (α) is suitable for achieving satisfactory optimal revenue. The decision maker can also suggest to the analyst some possible and practicable changes in fuzzy intervals for improving the satisfactory revenue. This interactive process has to go on among the analyst, the decision maker and the implementer until an optimum satisfactory solution is achieved and implemented.

Suggested Citation

  • Pandian M. Vasant, 2005. "Fuzzy Linear Programming For Decision Making And Planning Under Uncertainty," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 647-662.
    • Handle: RePEc:wsi:ijitdm:v:04:y:2005:i:04:n:s0219622005001751
    DOI: 10.1142/S0219622005001751
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    Cited by:

    1. Peidro, David & Mula, Josefa & Jiménez, Mariano & del Mar Botella, Ma, 2010. "A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 65-80, August.
    2. Xiaoyang Zhou & Yan Tu & Jing Han & Jiuping Xu & Xionghui Ye, 2017. "A Class of Level-2 Fuzzy Decision-Making Model with Expected Objectives and Chance Constraints: Application to Supply Chain Network Design," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 907-938, July.

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