Research on the support model of large equipment emergency spare parts under fuzzy demand

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Document typeArticle
Defense date2015-07
PublisherOmniaScience
Rights accessOpen Access
Abstract
Purpose: Aim at making a support scheme for emergency spare parts when large equipment
spare parts supply network faced with large-scale emergency events.
Design/methodology/approach: In order to analyze the model, we establish the spare parts
security model under network supply conditions to respond emergency in case of fuzzy
demand. And in end of the paper, we adopt an improved genetic algorithm to solve the
problem.
Findings: Considering emergency spare parts support problem from three aspects including
satisfaction of time, satisfaction of demand and emergency cost constraints, which makes
decision-making process more accord with reality condition, we can get a more realistic solution
for the decision makers.
Originality/value: Considering the occurrence of emergency and adopting information
entropy theory to order the weight of emergency maintenance station in priority sequence, this
paper presented emergency response time and demand satisfaction function, which uses the
time, demand satisfaction and the cost restrictor as objective functions, we have constructed the
spare parts support model under fuzzy demand to solve emergency events, having expanded
the scope of solution.
CitationYang, Jian-hua; Ma, Zhichao; Song, Yang. Research on the support model of large equipment emergency spare parts under fuzzy demand. "Journal of Industrial Engineering and Management", Juliol 2015, vol. 8, núm. 3, p. 658-673.
DLB-28744-2008
ISSN2013-0953
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