Location-multimodal transportation problem for relief distribution in emergency logistics under fuzzy conditions

doi:10.16265/j.cnki.issn1003-3033.2017.07.030

Abstract

Abstract: In order to improve efficiency of emergency supplies distribution, make full use of existing vehicles and meet different requirements of multi-agents, based on the characteristics of supply and demand of emergency materials and relative urgency in relief demand, a multi-modal, multi-period and multi-objective integrated optimization model was built for emergency material location-multimodal transportation under fuzzy condition. The defuzzification strategies and specific algorithm were given to transform fuzzy model and "multi-objective". And then through an empirical analysis of Hubei Province flood disaster in July 2016 the model and algorithm were verified. The results show that the model that introduces the demand urgency can be used to allocate emergency supplies according to priority of relief demand, and dynamically select site and allocate emergency supplies to meet different decision maker's preference for the three objectives.

Key words: location-allocation, multi-objective optimization, multimodal transportation, fuzzy demand, urgency of relief demand

CLC Number:

SONG Yinghua, WANG Lifang, DU Lijing, FANG Danhui, WANG Zhe. Location-multimodal transportation problem for relief distribution in emergency logistics under fuzzy conditions[J]. China Safety Science Journal, 2017, 27(7): 169-174.

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