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
UEA Research Groups:	Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management
Depositing User:	LivePure Connector
Date Deposited:	06 Oct 2021 01:59
Last Modified:	28 Mar 2025 10:57
URI:	https://ueaeprints.uea.ac.uk/id/eprint/81566
DOI:

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