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A note on min-max goal programming approach for solving multi-objective de novo programming problems

Author

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  • Susanta Banik
  • Debasish Bhattacharya

Abstract

Min-max goal programming approach for solving multi-objective de novo programming problems was studied by Nurullah Umarusman in 2013. The present study is a further attempt to examine the approach and present an improved version of the approach. In Umarusman's method, each of the goal constraints is having both positive and negative deviation variables, whereas in the proposed approach only one deviation variable has been used. The method of solution has been illustrated with the numerical examples. The solution obtained by proposed method yields objective values which are better than those obtained by Umarusman for the same set of weights.

Suggested Citation

  • Susanta Banik & Debasish Bhattacharya, 2020. "A note on min-max goal programming approach for solving multi-objective de novo programming problems," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 37(1), pages 32-47.
    • Handle: RePEc:ids:ijores:v:37:y:2020:i:1:p:32-47
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