4.7 Article

Eco-design of transportation in sustainable supply chain management: A DEA-like method

Journal

Publisher

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

  1. National Natural Science Funds of China [71222106, 71571173, 71110107024]
  2. Research Fund for the Doctoral Program of Higher Education of China [20133402110028]
  3. Foundation for the Author of National Excellent Doctoral Dissertation of P. R. China [201279]
  4. 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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