Bridging the gap between probabilistic and fuzzy-parameter economic order quantity models

Bridging the gap between probabilistic and fuzzy-parameter economic order quantity models

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Article ID: iaor2005838
Country: Netherlands
Volume: 91
Issue: 3
Start Page Number: 215
End Page Number: 221
Publication Date: Jan 2004
Journal: International Journal of Production Economics
Authors:
Keywords: fuzzy sets
Abstract:

Given annual demand D, annual unit carrying cost h, and ordering cost per order s, the economic order quantity (EOQ) is that purchase lot size which minimizes the total annual carrying and ordering costs. Given interval of values for h and s (i.e., uniform distributions), Lowe and Schwarz determined, among other things, that the value of EOQ which minimizes the maximum value of ratio of total cost using wrong estimates of h, s, and Q, over total cost using the right estimates should utilize the geometric means of h and s. Vujosevic et al. considered triangular and trapezoid fuzzy distributions for s and h, and provided various ways to determine Q. In this paper, the author evaluates, compares, and improves/extends these approaches for EOQ model with uncertain parameters.

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