Solving fuzzy problems in operations research: inventory control

被引：0
|
作者：
Buckley, JJ [3 ]
Feuring, T
Hayashi, Y
机构：
[1] Univ Siegen, Dept Elect Engn & Comp Sci, D-57068 Siegen, Germany
[2] Meiji Univ, Dept Comp Sci, Tama Ku, Kawasaki, Kanagawa 2148571, Japan
[3] Univ Alabama, Dept Math, Birmingham, AL 35294 USA
来源：
SOFT COMPUTING | 2002年 / 7卷 / 02期
关键词：
inventory control; evolutionary algorithms; decision analysis;
D O I：
10.1007/S00500-002-0180-z
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we are interested in generating good approximate solutions to single item, N-period, fuzzy inventory control problems. It is a fuzzy inventory control problem since some of the parameters (ordering cost, holding cost, penalty cost) can be fuzzy numbers. We consider three cases: (1) demand is known each period; (2) demand is unknown, and fuzzy each period; and (3) demand is fuzzy and backordering is allowed. We employ an evolutionary algorithm to search out good approximate solutions.
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页码：121 / 129
页数：9
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