Chance-Constrained Programming EOQ Model Based on Uncertain Measure

Abstract:

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This paper provides chance-constrained programming EOQ (Economic Order Quantity) model for inventory based on uncertain measure. In the model, the ordering cost, shortage cost and holding cost per unit are assumed uncertain variables. When the parameters are some special uncertain variables with uncertainty distribution such as linear uncertain distribution and normal uncertain distribution, the model can be transformed into crisp equivalent programming. To illustrate the effectiveness of the model, some numerical examples are provided.

Info:

Periodical:

Edited by:

Shaobo Zhong, Yimin Cheng and Xilong Qu

Pages:

150-154

DOI:

10.4028/www.scientific.net/AMM.50-51.150

Citation:

L. X. Rong "Chance-Constrained Programming EOQ Model Based on Uncertain Measure", Applied Mechanics and Materials, Vols. 50-51, pp. 150-154, 2011

Online since:

February 2011

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$35.00

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