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Multi-choice multi-objective mathematical programming model for integrated production planning: a case study

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  • M.P. Biswal
  • S. Acharya

Abstract

This article develops a multi-choice multi-objective linear programming model in order to solve an integrated production planning problem of a steel plant. The aim of the integrated production planning problem is to integrate the planning sub-functions into a single planning operation. The sub-functions are formulated by considering the capacity of different units of the plant, cost of raw materials from various territories, demands of customers in different geographical locations, time constraint for delivery the products, production cost and production rate at different stages of production process. Departure cost is also considered in the formulation of mathematical programming model. Some of the parameters are decided from a set of possible choices, therefore such parameters are considered as multi-choice type. Multi-choice mathematical programming problem cannot be solved directly. Therefore an equivalent multi-objective mathematical programming model is established in order to find the optimal solution of the problem. Computation of the mathematical programming model is performed with the practical production data of a plant to study the methodology.

Suggested Citation

  • M.P. Biswal & S. Acharya, 2013. "Multi-choice multi-objective mathematical programming model for integrated production planning: a case study," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(9), pages 1651-1665.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:9:p:1651-1665
    DOI: 10.1080/00207721.2012.669862
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    Cited by:

    1. Noroozi, Sayeh & Wikner, Joakim, 2017. "Sales and operations planning in the process industry: A literature review," International Journal of Production Economics, Elsevier, vol. 188(C), pages 139-155.

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