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Reverse logistics network design model based on e‐commerce

Qian XiaoYan (Department of Management Science and Engineering, Southeast University, Nanjing, China)
Han Yong (Department of Management Science and Engineering, Southeast University, Nanjing, China)
Da Qinli (Department of Management Science and Engineering, Southeast University, Nanjing, China)
Peter Stokes (Chester Business School, University of Chester, Chester, UK)

International Journal of Organizational Analysis

ISSN: 1934-8835

Article publication date: 18 May 2012

3842

Abstract

Purpose

The aim of this paper is to study reverse logistics network design in order to better facilitate the location of factories, online retailers, and the third party logistics in the context of e‐commerce.

Design/methodology/approach

Drawing on types of third party collections of returned products, the paper proposes a 0‐1 mixed integrate linear programming (0‐1MILP) mathematic model for reverse logistics networks in e‐business and a further mathematical model is discussed in relation to determining the market demands and returns. Furthermore, a case study is developed and described with the intention of illustrating the value of this model and network.

Findings

The paper identifies possibilities for the application of the reverse logistics network models to deal with returned products from customers in companies using e‐business.

Research limitations/implications

There is scope for future research to build on the present research and consider further factors in relation to the influences on return logistics.

Originality/value

This paper provides novel insights for e‐companies setting up and operating a reverse logistics network. The application of these models could decrease costs and allow optimal decisions on price and return price in order to increase efficiency and profit levels.

Keywords

Citation

XiaoYan, Q., Yong, H., Qinli, D. and Stokes, P. (2012), "Reverse logistics network design model based on e‐commerce", International Journal of Organizational Analysis, Vol. 20 No. 2, pp. 251-261. https://doi.org/10.1108/19348831211227864

Publisher

:

Emerald Group Publishing Limited

Copyright © 2012, Emerald Group Publishing Limited

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