Application of multi-objective fuzzy linear programming in supply production planning problem

Vasant, Pandian and Bhattacharya, Arijit (2007) Application of multi-objective fuzzy linear programming in supply production planning problem. International Journal of Industrial Engineering - Theory, Applications and Practice, 14 (2). pp. 151-157. ISSN 1943-670X

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Abstract

The purpose of this paper is establishing the usefulness of newly formed modified S-curve membership function in a limited supply production-planning problem with continuous variables. Fuzzy parameters of linear programming (LP) are modeled by non-linear membership function, viz., S-curve function. In this paper the construction of modified S-curve membership function and a real-life example of supply production planning problem are presented. The computational results indicate superiority of the fuzzy linear programming (FLP) technique having modified S-curve membership function over non-fuzzy linear programming approach in optimizing individual objective functions. Furthermore, the optimal solution provides a better level of satisfaction of the decision-maker when compared with that of the non-fuzzy linear programming.

Item Type: Article
Uncontrolled Keywords: vagueness,s-curve membership function,degree of satisfaction,fuzzy linear programming,decision making,membership functions
Faculty \ School: Faculty of Social Sciences > Norwich Business School
Depositing User: LivePure Connector
Date Deposited: 06 Oct 2021 01:59
Last Modified: 25 Oct 2021 00:41
URI: https://ueaeprints.uea.ac.uk/id/eprint/81566
DOI:

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