Abstract
Abstract
This paper studies a purchasing EOQ inventory model with backordering, where setup cost, purchase cost, holding cost, shortage cost and demand quantity all are considered as independent fuzzy variables. Using a linear combination of possibility and necessity measures, the problem is formulated as a fuzzy expected value model. Then the crisp equivalent is derived when the fuzzy costs and demand are characterized by triangular fuzzy numbers. Finally, a numerical example is given to illustrate the effectiveness of the proposed algorithm.
Get full access to this article
View all access options for this article.
