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Chinese Journal of Management Science ›› 2016, Vol. 24 ›› Issue (5): 111-118.doi: 10.16381/j.cnki.issn1003-207x.2016.05.013

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Research on Fuzzy Location-routing Problem in Post-earthquake Delivery of Relief Materials

LIU Chang-shi1,2,4,5, PENG Yi1, KOU Gang3   

  1. 1. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China;
    2. School of Management, Hunan University of Commerce, Changsha 410205, China;
    3. School of Business Administration, Southwestern University of Finance and Economics, Chengdu 610074, China;
    4. Mobile E-business Collaborative Innovation Center of Hunnan Province, Hunan University of Commerce, Changsha 410205, China;
    5. Key Laborartory of Huna Province for Mobile Bsiness Intelligence, Hunan University of Commerce, Changsha 410205, China
  • Received:2014-08-17 Revised:2015-10-10 Online:2016-05-20 Published:2016-05-24

Abstract: In order to improve the efficiency of emergency logistics, a new location-routing problem (LRP) in post-earthquake delivery of relief materials was studied from the view point of integrated optimization.By considering the stochastic vehicle time caused by the location and topography of relief points, the urgent window constraints, the fuzzy demands of relief materials and the urgency of rescue time in post-earthquake, a chance-constrained programming model for the fuzzy LRP was developed, and the goal is to minimize the total time in delivering relief materials and the total costs.A hybrid immune genetic algorithm was proposed to solve the model.Finally,the feasibility and validity of the model and algorithm was demonstrated by a numerical example.The test data are obtained from the Solomon's VRPTW BENCHMARK PROBLEMS.The results show that the proposed approaches effectively solve the fuzzy multi objective LRP, and realize joint decision of emergency logistics center location and emergency vehicle routing planning.

Key words: delivery of relief materials, stochastic vehicle travel time, location-routing problem, hybrid immune genetic algorithm

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