Supply chain resources integration optimisation in B2C online shopping

J.M. Yao

International Journal of Production Research, 2017, vol. 55, issue 17, 5079-5094

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.

Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2015.1074298 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:55:y:2017:i:17:p:5079-5094

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2015.1074298

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().