An experience-based system supporting inventory planning: A fuzzy approach

Authors:
Suphattra Ketsarapong;Varathorn Punyangarm;Kongkiti Phusavat;Binshan Lin
Affiliations:
Department of Industrial Engineering, Faculty of Engineering, Sripatum University, Bangkok 10900, Thailand;Department of Industrial Engineering, Faculty of Engineering, Srinakharinwirot University, Nakhonnayok 26120, Thailand;Department of Industrial Engineering, Faculty of Engineering, Center of Advanced Studies in Industrial Technology, Kasetsart University, Bangkok 10900, Thailand;Louisiana State University in Shreveport, BE321, Business School, Shreveport, LA 71115, USA
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

The study aims to extend the Uncapacitated Fuzzy Single Item Lot Sizing Problem (known as F-USILSP) model and extend it for inventory planning. The F-USILSP model is a good choice when there is no statistical data collection, but where there is verbal or qualitative information from experts with experience. Previously, the mixed integer linear programming (MILP) relied on the crisp assumption which hinders the use of the F-USILSP. In this paper, a Possibility Approach is adapted to convert the F-USILSP to a mathematically solvable equivalent crisp USILSP (EC-USILSP). The EC-USILSP model is tested with a case. The organization under study is a petrochemical company power plant with trapezoidal fuzzy demand and triangular fuzzy unit price. The overall results show that the EC-USILSP is more practical and exhibits more flexibility when there is a need to add more realistic situations.