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

• Main Authors: P., Vasant, A., Bhattacharya
• 格式: Article
• 出版: UNIV CINCINNATI INDUSTRIAL ENGINEERING, UNIV CINCINNATI, CINCINNATI, OH 45221-0116 USA 2007
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• 在線閱讀: http://eprints.utp.edu.my/2329/1/SAMPLE_PAPER_PDF.pdf; http://apps.isiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=23&SID=V2M3DaJN@i6obPF9OiE&page=1&doc=1; http://eprints.utp.edu.my/2329/

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.