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A Decision Support System for Solving Linear Programming Problems

Author

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  • Nikolaos Ploskas

    (Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece)

  • Nikolaos Samaras

    (Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece)

  • Jason Papathanasiou

    (Department of Business Administration, University of Macedonia, Thessaloniki, Greece)

Abstract

Linear programming algorithms have been widely used in Decision Support Systems. These systems have incorporated linear programming algorithms for the solution of the given problems. Yet, the special structure of each linear problem may take advantage of different linear programming algorithms or different techniques used in these algorithms. This paper proposes a web-based DSS that assists decision makers in the solution of linear programming problems with a variety of linear programming algorithms and techniques. Two linear programming algorithms have been included in the DSS: (i) revised simplex algorithm and (ii) exterior primal simplex algorithm. Furthermore, ten scaling techniques, five basis update methods and eight pivoting rules have been incorporated in the DSS. All linear programming algorithms and methods have been implemented using MATLAB and converted to Java classes using MATLAB Builder JA, while the web interface of the DSS has been designed using Java Server Pages.

Suggested Citation

  • Nikolaos Ploskas & Nikolaos Samaras & Jason Papathanasiou, 2014. "A Decision Support System for Solving Linear Programming Problems," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 6(2), pages 46-62, April.
    • Handle: RePEc:igg:jdsst0:v:6:y:2014:i:2:p:46-62
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