Design and Analysis of Supply Chain Networks with Low Carbon Emissions

Tsai-Chi Kuo, Ming-Lang Tseng (), Hsiao-Min Chen, Ping-Shun Chen and Po-Chen Chang
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Tsai-Chi Kuo: Chung Yuan Christian University
Ming-Lang Tseng: Lunghwa University of Science and Technology
Hsiao-Min Chen: Chung Yuan Christian University
Ping-Shun Chen: Chung Yuan Christian University
Po-Chen Chang: Chung Yuan Christian University

Computational Economics, 2018, vol. 52, issue 4, No 17, 1353-1374

Abstract: Abstract Low carbon supply chain network design is a multi-objective decision-making problem that involves a trade-off between low carbon emissions and cost. This study calculates the carbon footprint, wherein the greenhouse gases (GHGs) emissions data are based on carbon footprint standards. Many firms have redesigned their supply chain networks to reduce their GHG emissions. Furthermore, the production capacities and costs are collected and evaluated by using Pareto optimal solutions. In order to achieve the optimal solutions, a normal constraint method is used to formulate a mathematical model to meet two objectives: low carbon emissions and low cost. A case study is also presented to demonstrate the predictive ability of this model. The result shows that it is possible to reduce carbon emissions and lower cost simultaneously.

Keywords: Greenhouse gas emission; Low carbon supply chain networks; Normal constraint method (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10614-017-9675-7

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