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Solving fuzzy problems in operations research: inventory control

delete2002-12-01
delete38
PRE
AI
J
James J. Buckley *
T
Thomas Feuring
H
Hayashi, Yoichi
DOI：10.1007/S00500-002-0180-zdelete
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Abstract

Abstract

En 中文
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.
Keywords:
inventory control
evolutionary algorithms
decision analysis

Journal

Soft Computing cover
Soft Computing
IF:
2.5
Papers:
1.0W
Citations:
2.1W

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No organization information available