Paper Title:
Chance-Constrained Programming EOQ Model Based on Uncertain Measure
  Abstract

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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