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Design and Analysis of Supply Chain Networks with Low Carbon Emissions

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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.

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan City, 32023, Taiwan, ROC

    Tsai-Chi Kuo, Hsiao-Min Chen, Ping-Shun Chen & Po-Chen Chang

  2. Department of Business Administration (MBA), Lunghwa University of Science and Technology, Taoyuan City, 33306, Taiwan, ROC

    Ming-Lang Tseng

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  1. Tsai-Chi Kuo
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Correspondence to Ming-Lang Tseng.

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Kuo, TC., Tseng, ML., Chen, HM. et al. Design and Analysis of Supply Chain Networks with Low Carbon Emissions. Comput Econ 52, 1353–1374 (2018). https://doi.org/10.1007/s10614-017-9675-7

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