Abstract
Fierce competition and the mandate for green development have driven cold chain logistics companies to minimize total distribution costs and carbon emissions to gain a competitive advantage and achieve sustainable development. However, the cold chain logistics literature considers carbon trading mechanisms in sharing economy, namely the joint distribution, is limited. Our research builds a Joint Distribution-Green Vehicle Routing Problem (JD-GVRP) model, in which cold chain logistics companies collaborate among each other to deliver cold chain commodities by considering carbon tax policy. Based on the real business data from four cold chain companies and 28 customers, a simulated annealing (SA) algorithm is applied to optimize the model. The results indicate that joint distribution is an effective way to reduce total costs and carbon emissions when compared with the single distribution. The total cost is positively correlated with the carbon price, while the carbon emissions vary differently when the carbon price increases. In addition, carbon quotas have no effect on the delivery path. This research expands cold chain logistics literature by linking it with joint distribution and carbon trading mechanisms. Moreover, this research suggests that cold chain logistics companies could enhance delivery efficiency, reduce the business cost, and improve competitiveness by reinforcing the collaboration at the industry level. Furthermore, the government should advocate the mode of joint distribution and formulate an effective carbon trading policy to better utilize social and industrial resources to achieve the balanced economic and environmental benefits.
Original language | English |
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Article number | 104715 |
Journal | Resources, Conservation and Recycling |
Volume | 156 |
Early online date | 6 Feb 2020 |
DOIs | |
Publication status | Published - May 2020 |
Bibliographical note
NOTICE: this is the author’s version of a work that was accepted for publication in Conservation and Recycling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Conservation and Recycling, 156 (2020) DOI: 10.1016/j.resconrec.2020.104715© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords
- Green vehicle routing problem
- Cold chain logistics
- Joint distribution
- Carbon trading mechanism
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Profiles
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Ming Lim
- Faculty Research Centre for Business in Society - Professor of Supply Chain and Operations Management
Person: Teaching and Research
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Senmao Xia
- International Centre for Transformational Entrepreneurship - Associate Professor (Research)
- Faculty Research Centre for Business in Society - Associate
Person: Other, Teaching and Research