The purpose of this paper is to develop a mathematical model for the network design of a reverse supply chain in a multi-product, multi-period environment. The emission cost due to transportation activities is incorporated into the model to reduce the total cost of emission and study the significance of inclusion of emission cost on the network design decisions.
Mixed integer linear programming formulation is used to model the network. The developed model is solved and analysed using the commercial solver LINGO.
The mathematical model provides a unified design of the network for the entire planning horizon comprising of different periods. A reduction in the total cost of emission is achieved. The analysis of the problem environment shows that the network design decisions significantly vary with the consideration of emission cost.
A single mode of transportation is considered in this study. Also, a single type of vehicle is considered for the transportation purpose.
The developed model can aid the decision makers in making better decisions while reducing the total emission cost. The quantification of the emission cost due to transportation activities is presented in an Indian context and can be used for future studies.
An all-encompassing approach for the design of reverse logistics networks with explicit consideration of product structure and emission cost.
The authors express sincere thanks to the editor and the reviewers for their constructive comments, which have helped immensely to bring this paper to the present form.
John, S., Sridharan, R. and Kumar, P. (2017), "Multi-period reverse logistics network design with emission cost", International Journal of Logistics Management, The, Vol. 28 No. 1, pp. 127-149. https://doi.org/10.1108/IJLM-08-2015-0143Download as .RIS
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