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Articles

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

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  • School of Business, Renmin University of China, Beijing 100872, China

Received date: 2013-08-12

  Revised date: 2014-04-23

  Online 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.

Cite this article

YAO Jian-ming . Resources Integration Decision about Online Shopping Supply Chain Based on Service Capacity Equilibrium[J]. Chinese Journal of Management Science, 2015 , 23(10) : 88 -97 . DOI: 10.16381/j.cnki.issn1003-207x.2015.10.010

References

[1] Boyer K K, Hult G T. Extending the supply Chain:Integrating operations and marketing in the online grocery industry[J]. Journal of Operations Management, 2005, 23(6):642-661.

[2] 朱道立, 胡一竑, 徐最. 网购供应链中的竞争和协调若干问题研究[J]. 上海理工大学学报, 2011, 33(3):248-252.

[3] Çelik H. Influence of social norms, perceived playfulness and online shopping anxiety on customers' adoption of online retail shopping[J]. International Journal of Retail & Distribution Management, 2011, 39(6):390-413.

[4] Chen Yanchu, Fang S C, Wena U P. Pricing policies for substitutable products in a supply Chain with Internet and traditional channels[J]. European Journal of Operational Research, 2013, 224(3):542-551.

[5] 徐兵, 朱道立. 产品随机选择下多商品流供应链网络均衡模型研究[J]. 系统工程理论与实践, 2007, 27(3):82-104.

[6] Yao Jianming. Decision optimization analysis on supply Chain resources integration in the fourth party logistics[J]. Journal of Manufacturing Systems, 2010, 29(4):121-129.

[7] 姚建明. 引入风险机制的4PL模式下供应链资源整合优化[J]. 管理学报, 2011, 8(8):1221-1229.

[8] 姚建明. 4PL模式下供应链资源整合的收益与风险决策分析[J]. 系统管理学报, 2011, 20(2):180-187.

[9] 姚建明, 刘丽文. 4PL模式下供应链资源整合决策优化模型及算法分析[J]. 系统工程理论与实践, 2008, 28(5):20-28.

[10] Hall N, Potts C. Supply Chain scheduling:Batching and delivery[J]. Operations Research, 2003, 51(4):566-584.

[11] Yao Jianming. Scheduling optimization of cooperator selection and task allocation in mass customization supply Chain based on collaborative benefits and risks[J]. International Journal of Production Research, 2013, 51(8):2219-2239.

[12] Yao Jianming, Liu Liwen. Optimization analysis of supply Chain scheduling in mass customization[J]. International Journal of Production Economics, 2009, 117(1):197-211.

[13] 姚建明, 张秀敏, 刘丽文. 基于改进蚂蚁算法的拉动式供应链动态调度分析[J]. 中国管理科学, 2006, 14(3):20-26.

[14] Yao Jianming. Supply Chain scheduling optimization in mass customization based on dynamic profit preference and application case study[J]. Production Planning & Control, 2011, 22(7):690-707.

[15] 姚建明. 复杂动态供应链计划调度中的协作成员选择决策[J]. 运筹与管理, 2012, 21(3):51-61.

[16] Dadzie K Q, Winston E. Consumer response to stock-out in the online supply Chain[J]. International Journal of Physical Distribution & Logistics Management, 2007, 37(1):19-42.
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