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《Industrial Engineering Journal》 2016-01
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E-commerce Ending Logistics Resilient Distribution Strategy Research Based on the Extreme Optimization——Ant Colony Algorithm

RUAN Huan;GENG Liang;XIAO Renbin;School of Automation,Huazhong University of Science and Technology;School of Science,Hubei University of Technology;  
A study is conducted into the process called the ending logistics in which goods are delivered to customers from the distribution center in e-commerce logistics distribution. To reduce distribution cost and improve service quality,the vehicle routing problem is combined with the characteristics of e-commerce consumers' demand,namely "big varieties,small quantity,multiple batches and short cycle". Based on the uncertainty in customer daily demand,the informatization resilience distribution strategy is put forward. A model with the target of minimizing the per capita cost is established along with an improved ant colony algorithm based on the extreme dynamics to optimize the logistics distribution path. The convergence efficiency of the algorithm has been largely improved through the "optimization"and "elimination"and by combining "global search"with "local search". Finally,an example is taken to verify the resilience of the algorithm faced with uncertainty demands. Effective distribution of e-commerce logistics can be achieved based on this research.
【Fund】: 国家自然科学基金资助项目(71171089)
【CateGory Index】: TP18;F252;F713.36
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【Co-citations】
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