International Journal on Advanced Science, Engineering and Information Technology, Vol. 9 (2019) No. 3, DOI:10.18517/ijaseit.9.3.3896

Dynamic Supplier Selection and Its Optimal Strategy Considering Full Truck Load and Fuzzy Demand Using Fuzzy Expected Value Based Programming

Purnawan Adi Wicaksono, I Nyoman Pujawan, Erwin Widodo, - Sutrisno

Abstract

This article is addressed to propose a linear integer optimization model containing a fuzzy parameter that can be used to figure out the solution of a dynamic supplier selection problem considering uncertain demand. The dubious demand value is approached by using a fuzzy variable. A fuzzy expected value based linear optimization solver is used to solve the corresponding optimization problem where the objectives are minimizing the total cost, and one of the constraints is fuzzy demand. Several computational experiments were conducted to evaluate and analyze the model. The results showed that which the optimal supplier was obtained from the proposed model that it will be selected to supply the product and the optimal volume of each product type from the selected supplier such that the total occurred expected cost is minimized.

Keywords:

dynamic supplier selection problem (DSSP); fuzzy demand; fuzzy expected value based linear programming.

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