Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 519125, 11 pages
http://dx.doi.org/10.1155/2015/519125
Research Article

Optimization Analysis of Supply Chain Resource Allocation in Customized Online Shopping Service Mode

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

Received 3 June 2014; Revised 3 September 2014; Accepted 11 September 2014

Academic Editor: Xingsheng Gu

Copyright © 2015 Jianming Yao and Mengjie Gu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. K. K. Boyer and G. T. M. Hult, “Extending the supply chain: integrating operations and marketing in the online grocery industry,” Journal of Operations Management, vol. 23, no. 6, pp. 642–661, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. D. L. Zhu, Y. H. Hu, and Z. Xu, “Research on the competition and coordination in online shopping supply chain management,” Journal of University of Shanghai for Science and Technology, vol. 33, no. 3, pp. 248–252, 2011 (Chinese). View at Google Scholar
  3. Y. H. Hu, X. Q. Li, J. H. Zhang, and J. T. Zhang, “Research on the equilibrium model in the online shopping supply chain management,” Operations Research and Management Science, vol. 21, no. 4, pp. 34–40, 2012 (Chinese). View at Google Scholar
  4. Y. H. Hu and Q. Qiang, “An equilibrium model of online shopping supply chain networks with service capacity investment,” Service Science, vol. 5, no. 3, pp. 238–248, 2013. View at Publisher · View at Google Scholar
  5. H. Çelik, “Influence of social norms, perceived playfulness and online shopping anxiety on customers' adoption of online retail shopping: an empirical study in the Turkish context,” International Journal of Retail and Distribution Management, vol. 39, no. 6, pp. 390–413, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. P. Mu, “Research on “warehouse explosion” in the era of online shopping,” Corporation Research, no. 9, pp. 49–51, 2011 (Chinese). View at Google Scholar
  7. J. F. Kros, S. S. Nadler, and H. Chen, “The adoption and utilization of online auctions by supply chain managers,” Transportation Research Part E: Logistics and Transportation Review, vol. 47, no. 2, pp. 105–114, 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. R. D. Banker and S. Mitra, “Procurement models in the agricultural supply chain: a case study of online coffee auctions in India,” Electronic Commerce Research and Applications, vol. 6, no. 3, pp. 309–321, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. Y. C. Chen, S.-C. Fang, and U.-P. Wen, “Pricing policies for substitutable products in a supply chain with Internet and traditional channels,” European Journal of Operational Research, vol. 224, no. 3, pp. 542–551, 2013. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  10. E. Selvarajah and G. Steiner, “Approximation algorithms for the supplier's supply chain scheduling problem to minimize delivery and inventory holding costs,” Operations Research, vol. 57, no. 2, pp. 426–438, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  11. J. M. Yao, “Decision optimization analysis on supply chain resource integration in fourth party logistics,” Journal of Manufacturing Systems, vol. 29, no. 4, pp. 121–129, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. N. G. Hall and C. N. Potts, “Supply chain scheduling: batching and delivery,” Operations Research, vol. 51, no. 4, pp. 566–584, 2003. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  13. F. Wang and I.-C. Choi, “Optimal decisions in a single-period supply chain with price-sensitive random demand under a buy-back contract,” Mathematical Problems in Engineering, vol. 2014, Article ID 786803, 11 pages, 2014. View at Publisher · View at Google Scholar · View at MathSciNet
  14. J. M. Yao, “Scheduling optimisation of co-operator selection and task allocation in mass customisation supply chain based on collaborative benefits and risks,” International Journal of Production Research, vol. 51, no. 8, pp. 2219–2239, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. J. Yao, “Supply chain scheduling optimisation in mass customisation based on dynamic profit preference and application case study,” Production Planning and Control, vol. 22, no. 7, pp. 690–707, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. J. Yao and L. Liu, “Optimization analysis of supply chain scheduling in mass customization,” International Journal of Production Economics, vol. 117, no. 1, pp. 197–211, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. K. Q. Dadzie and E. Winston, “Consumer response to stock-out in the online supply chain,” International Journal of Physical Distribution and Logistics Management, vol. 37, no. 1, pp. 19–42, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. R. Zhou, A. Y. C. Nee, and H. P. Lee, “Performance of an ant colony optimisation algorithm in dynamic job shop scheduling problems,” International Journal of Production Research, vol. 47, no. 11, pp. 2903–2920, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Gravel, W. L. Price, and C. Gagné, “Scheduling continuous casting of aluminum using a multiple objective ant colony optimization metaheuristic,” European Journal of Operational Research, vol. 143, no. 1, pp. 218–229, 2002. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus