Research on the support model of large equipment emergency spare parts under fuzzy demand
Abstract: Aim at making a
scheme for emergency spare parts the support problem 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 algorithms 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 main objective, we have constructed the spare parts support model
under fuzzy demand to solve emergency events, having expanded the scope of
solution.
Author: JianHua Yang, Zhichao
Ma, Yang Song
Journal Code: jptindustrigg150055
