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Chinese Journal of Management Science ›› 2015, Vol. 23 ›› Issue (10): 88-97.doi: 10.16381/j.cnki.issn1003-207x.2015.10.010

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Resources Integration Decision about Online Shopping Supply Chain Based on Service Capacity Equilibrium

YAO Jian-ming   

  1. School of Business, Renmin University of China, Beijing 100872, China
  • Received:2013-08-12 Revised:2014-04-23 Online:2015-10-20 Published:2015-10-24

Abstract: The key of improving the customer value and competitiveness of online shopping enterprise is to provide the satisfied individual service to customer. The success of it depends on the rational and effective integration of supply chain resources running in the background in order to provide the demand service capacity. Therefore, how to integrate effectively the supply chain resources based on different individual service modes in online shopping, realize the effective utilization of the supply chain resources and solve the special problems in online shopping are an important thesis for the enterprise to discuss. Based on the character analysis of the supply chain resource integration in online shopping, starting from the angle of the dynamic coordination and equilibrium between supply and demand service capacity in online shopping, the dominant factors of the resource integration are dug out by analyzing individual service mode in online shopping, and the integration decision optimization model and the improved ant algorithm are put up to solve the decision process. The results show that there are reasonability and feasibility of the resource integration decision optimization method by a case based on the simulation data.A cut-in point of the strategically harmonizing and balancing the supply and demand capacity in the online shopping is put forward and the research thought and the method can give an important reference significance to supply chain resource integration and supply chain scheduling optimization.

Key words: online shopping, supply chain resources integration, service capacity, dominant factors, model and algorithm

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