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Supply chain resources integration optimisation in B2C online shopping

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  • J.M. Yao

Abstract

B2C online shopping companies must optimise their supply chain resources integration (SCRI) to provide service capacities, improve the experiences of their customers and introduce satisfactory customised services. These companies need to determine how to achieve an effective SCRI according to different customised service modes, improve their utilisation of resources and solve special problems in online shopping. This study discusses the dynamic equilibrium between the supply and demand service capacities by analysing the characteristics and service modes of SCRI in B2C. A discussion of these capacities must not only consider the traditional optimisation objectives, but also evaluate the suitability of resources from the angles of general service, emergent service and strategic potential capacities to achieve an effective SCRI. Therefore, this study considers the capacity target orientation consistency of the resource (cooperator) as an important optimisation objective and evaluates such consistency by identifying the capacity characteristic factors and introducing them into SCRI. An optimisation model and an improved ant algorithm are proposed to solve the SCRI process. The feasibility and validity of this model and algorithm are verified by demonstrating their application and illustrating their research value.

Suggested Citation

  • J.M. Yao, 2017. "Supply chain resources integration optimisation in B2C online shopping," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5079-5094, September.
  • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:17:p:5079-5094
    DOI: 10.1080/00207543.2015.1074298
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    Cited by:

    1. Fuli Zhou & Yandong He & Felix T. S. Chan & Panpan Ma & Francesco Schiavone, 2022. "Joint Distribution Promotion by Interactive Factor Analysis using an Interpretive Structural Modeling Approach," SAGE Open, , vol. 12(1), pages 21582440221, February.
    2. Yang Yang & Jianming Yao, 2021. "Resource integration optimization of convenience service platforms adopting dynamic service modes in new retail," Frontiers of Business Research in China, Springer, vol. 15(1), pages 1-19, December.

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