Journal
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
Volume 48, Issue -, Pages 451-459Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trd.2015.08.007
Keywords
Transportation; Sustainable supply chain management (SSCM); Data envelopment analysis (DEA); Pareto Optimal
Funding
- National Natural Science Funds of China [71222106, 71571173, 71110107024]
- Research Fund for the Doctoral Program of Higher Education of China [20133402110028]
- Foundation for the Author of National Excellent Doctoral Dissertation of P. R. China [201279]
- Fundamental Research Funds for the Central Universities [WK2040160008]
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This study addresses the issue of eco-design for transportation in sustainable supply chain management (SSCM). Data envelopment analysis (DEA) is adopted and extended to construct a model for this application. This proposed model, together with the tractable algorithm developed in this research, can provide stakeholders with a Pareto Optimal transportation strategy. This derived transportation strategy can help stakeholders realize certain transportation goals with less resource consumption and pollution emission. The discussion presented leads to a heuristic Joint Transportation Policy and concludes with two useful suggestions for putting the strategy into practice. The proposed model was used in an empirical study of design sustainable transportation mechanism for one air-condition manufacturer in China to transport its products as well, the analysis further demonstrating the theoretical and practical value of this research. (C) 2015 Elsevier Ltd. All rights reserved.
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