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Analyses of Logistics Network Design With the Consideration of Carbon Emission Reduction Preference

Analyses of Logistics Network Design With the Consideration of Carbon Emission Reduction Preference

ZhongMing Tang, Xingxing Liu, Yuanrong Hu
Copyright: © 2021 |Volume: 14 |Issue: 1 |Pages: 23
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781799859901|DOI: 10.4018/IJISSCM.2021010104
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MLA

Tang, ZhongMing, et al. "Analyses of Logistics Network Design With the Consideration of Carbon Emission Reduction Preference." IJISSCM vol.14, no.1 2021: pp.90-112. http://doi.org/10.4018/IJISSCM.2021010104

APA

Tang, Z., Liu, X., & Hu, Y. (2021). Analyses of Logistics Network Design With the Consideration of Carbon Emission Reduction Preference. International Journal of Information Systems and Supply Chain Management (IJISSCM), 14(1), 90-112. http://doi.org/10.4018/IJISSCM.2021010104

Chicago

Tang, ZhongMing, Xingxing Liu, and Yuanrong Hu. "Analyses of Logistics Network Design With the Consideration of Carbon Emission Reduction Preference," International Journal of Information Systems and Supply Chain Management (IJISSCM) 14, no.1: 90-112. http://doi.org/10.4018/IJISSCM.2021010104

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Abstract

As a major cause of global warming, carbon emissions have become a considerable concern in society. In this paper, the authors examine logistics network design considering the carbon emission reduction preferences of decision-makers. To investigate the effects of carbon reduction preferences on carbon emissions, the authors first develop two optimization models with the objectives of optimizing carbon emissions and operation costs, respectively. Subsequently, the authors analyze the effects of the emission reduction preferences of decision-makers on logistics network design at both the strategic and tactical levels. Moreover, the authors propose coordination mechanisms for carbon emissions and operation costs in logistics network design. The results indicate that emission reduction preferences significantly affect carbon emissions and operation costs in logistics network design, especially at the strategic level.

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