Chance-Constrained Programming EOQ Model Based on Uncertain Measure

被引:0
|
作者
Rong, Lixia [1 ]
机构
[1] Dezhou Univ, Comp Sci & Technol Dept, Dezhou 253023, Shandong, Peoples R China
关键词
Uncertain variable; Uncertain distribution; Economic order quantity; hance-constrained programming; FUZZY INVENTORY; DEMAND QUANTITY; LEAD TIME; BACKORDER; COST;
D O I
10.4028/www.scientific.net/AMM.50-51.150
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
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.
引用
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页码:150 / 154
页数:5
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