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

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GHOSH PAYEL; KUMAR ROY TAPAN

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Journal Paper

Paper Information

Journal: JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL Year:2013 | Volume:9 | Issue:9 Page(s): 1-9

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Title

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

Author(s)

GHOSH PAYEL | KUMAR ROY TAPAN | Issue Writer Certificate

Keywords

GOAL PROGRAMMING

GEOMETRIC PROGRAMMING

PARETO OPTIMALITY

NONLINEAR PROGRAMMING

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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