An inventory model with backorders with fuzzy parameters and decision variables

被引：57
|
作者：
Kazemi, N. [1 ]
Ehsani, E. [1 ]
Jaber, M. Y. [2 ]
机构：
[1] Alghadir Nongovt Higher Educ Inst, Dept Ind Engn, Tabriz, Iran
[2] Ryerson Univ, Dept Mech & Ind Engn, Toronto, ON M5B 2K3, Canada
来源：
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2010年 / 51卷 / 08期
关键词：
EOQ backorders; fuzzy sets; graded mean integration; Kuhn-Tucker; Trapezoidal/triangular fuzzy number; EOQ MODEL; COST; SETS;
D O I：
10.1016/j.ijar.2010.07.001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper considers an inventory model with backorders in a fuzzy situation by employing two types of fuzzy numbers, which are trapezoidal and triangular. A full-fuzzy model is developed where the input parameters and the decision variables are fuzzified. The optimal policy for the developed model is determined using the Kuhn-Tucker conditions after the defuzzification of the cost function with the graded mean integration (GMI) method. Numerical examples and a sensitivity analysis study are provided to highlight the differences between crisp and the fuzzy cases. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码：964 / 972
页数：9
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