Highlights We address the issue of eco-design for transportation in SSCM. DEA is extended to construct a nonlinear model to seek Pareto Optimal solutions. A tractable linear algorithm is developed to solve the model. A heuristic Joint Transportation Policy is resulted from the research. The Joint Transportation Policy has been theoretically proved to be sustainable.

    Abstract 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.


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    Title :

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


    Contributors:
    Ji, Xiang (author) / Wu, Jie (author) / Zhu, Qingyuan (author)


    Publication date :

    2015-08-13


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English