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Information Journal Paper

Title

A GOAL GEOMETRIC PROGRAMMING PROBLEM (G2P2) WITH LOGARITHMIC DEVIATIONAL VARIABLES AND ITS APPLICATIONS ON TWO INDUSTRIAL PROBLEMS

Pages

  1-9

Abstract

 A very useful multi-objective technique is GOAL PROGRAMMING. There are many methodologies of GOAL PROGRAMMING such as weighted GOAL PROGRAMMING, min-max GOAL PROGRAMMING, and lexicographic GOAL PROGRAMMING. In this paper, weighted GOAL PROGRAMMING is reformulated as GOAL PROGRAMMING with logarithmic deviation variables. Here, a comparison of the proposed method and goal program-ming with weighted sum method is presented. A numerical example and applications on two industrial problems have also enriched this paper.

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    APA: Copy

    GHOSH, PAYEL, & KUMAR ROY, TAPAN. (2013). A GOAL GEOMETRIC PROGRAMMING PROBLEM (G2P2) WITH LOGARITHMIC DEVIATIONAL VARIABLES AND ITS APPLICATIONS ON TWO INDUSTRIAL PROBLEMS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 9(9), 1-9. SID. https://sid.ir/paper/309908/en

    Vancouver: Copy

    GHOSH PAYEL, KUMAR ROY TAPAN. A GOAL GEOMETRIC PROGRAMMING PROBLEM (G2P2) WITH LOGARITHMIC DEVIATIONAL VARIABLES AND ITS APPLICATIONS ON TWO INDUSTRIAL PROBLEMS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2013;9(9):1-9. Available from: https://sid.ir/paper/309908/en

    IEEE: Copy

    PAYEL GHOSH, and TAPAN KUMAR ROY, “A GOAL GEOMETRIC PROGRAMMING PROBLEM (G2P2) WITH LOGARITHMIC DEVIATIONAL VARIABLES AND ITS APPLICATIONS ON TWO INDUSTRIAL PROBLEMS,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 9, no. 9, pp. 1–9, 2013, [Online]. Available: https://sid.ir/paper/309908/en

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