A Multi-Source Distribution Optimization of Post-disaster Emergency Logistics Based on Real-Time Traffic Information

doi:10.3969/j.issn.1007-7375.e17-1046

Industrial Engineering Journal ›› 2018, Vol. 21 ›› Issue (1): 83-88.doi: 10.3969/j.issn.1007-7375.e17-1046

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A Multi-Source Distribution Optimization of Post-disaster Emergency Logistics Based on Real-Time Traffic Information

HU Zhongjun¹, LIU Yanqiu¹, LI Jia²

1. School of Management, Shenyang University of Technology, Shenyang 110870, China;
2. School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China

Received:2017-03-07 Online:2018-02-28 Published:2018-03-12

Abstract

Abstract: For emergency scheduling and distribution after disaster, the three-level multi-source distribution system is treated as a research object. A mathematical model about maximum satisfaction level is constructed based on equity. In the model, the effect of updating real-time traffic information on distribution scheme is taken into account. Also, a hybrid genetic algorithm with tabu search algorithm is improved. The results show that the real-time traffic information has a higher degree of disaster satisfaction and faster response than static scenarios.

Key words: post-emergency logistics, multi-source distribution optimization, real-time traffic information, hybrid genetic algorithm

CLC Number:

F224

HU Zhongjun, LIU Yanqiu, LI Jia. A Multi-Source Distribution Optimization of Post-disaster Emergency Logistics Based on Real-Time Traffic Information[J]. Industrial Engineering Journal , 2018, 21(1): 83-88.

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A Multi-Source Distribution Optimization of Post-disaster Emergency Logistics Based on Real-Time Traffic Information

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