Jr of Cleaner Production

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    68olui

    Journal of Cleaner Production

    Evaluating firm's green supply chain management in linguisticpreferences

    Ming-Lang Tsenga, , , Anthony S.F. Chiub a Graduate School of Business & Management, Lung Hwa University of Science & Technology, Taiwan b Department of Industrial Engineering, De La Salle University, Philippines http://dx.doi.org/10.1016/j.jclepro.2010.08.007,How to Cite or Link Using DOI Permissions & Reprints

    Abstract

    There has been an increasing interest towards firms' environmental sustainability activities to improve practices in their supply chain. Stringent

    environmental regulations in Europe and US challenge manufacturers to comply with these without losing their competitiveness. This study illustrates

    the case of a printed circuit board manufacturer in Taiwan that seeks to implement green supply chain management (GSCM) and selects a green

    supplier to meet its requirements. Choosing the suitable supplier is a key strategic direction in eliminating environmental impact on supply chain

    management for manufacturing firms. The firm's criteria and supplier selection need to be unified as a system to improve the firm's performance. This

    study identified the appropriate environmental and non-environmental GSCM criteria for the case firm and developed the following selection method: (i)

    evaluate the weights of criteria and alternatives as described both by qualitative and quantitative information; and (ii) rank alternative suppliers using agrey relational analysis. The result shows Alternative 3 ranks first among the four evaluated suppliers and demonstrated strong performance in the top

    three important criteria, namely, environmental management systems, profitability of supplier and relationship supplier closeness. Additionally, the

    perception weights on criteria itself are same as the most top five in weighted alternative.

    Keywords

    Grey relational analysis; Fuzzy set theory; Green supply chain management

    Figures and tables from this article:

    Fig. 1. Hierarchical structure.

    Figure options

    http://www.sciencedirect.com/science/journal/09596526http://www.sciencedirect.com/science/journal/09596526http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://dx.doi.org/10.1016/j.jclepro.2010.08.007http://dx.doi.org/10.1016/j.jclepro.2010.08.007http://www.sciencedirect.com/science/help/doi.htmhttp://www.sciencedirect.com/science/help/doi.htmhttp://www.sciencedirect.com/science/help/doi.htmhttp://www.sciencedirect.com/science?_ob=RedirectURL&_method=outwardLink&_partnerName=936&_eid=1-s2.0-S0959652610003227&_pii=S0959652610003227&_origin=article&_zone=art_page&_targetURL=https%3A%2F%2Fs100.copyright.com%2FAppDispatchServlet%3FpublisherName%3DELS%26contentID%3DS0959652610003227%26orderBeanReset%3Dtrue&_acct=C000060951&_version=1&_userid=3600495&md5=e4f5475211face90dccfca902a3d5e78http://www.sciencedirect.com/science?_ob=RedirectURL&_method=outwardLink&_partnerName=936&_eid=1-s2.0-S0959652610003227&_pii=S0959652610003227&_origin=article&_zone=art_page&_targetURL=https%3A%2F%2Fs100.copyright.com%2FAppDispatchServlet%3FpublisherName%3DELS%26contentID%3DS0959652610003227%26orderBeanReset%3Dtrue&_acct=C000060951&_version=1&_userid=3600495&md5=e4f5475211face90dccfca902a3d5e78http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227mailto:tsengminglang@gmail.comhttp://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227mailto:tsengminglang@gmail.comhttp://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227mailto:tsengminglang@gmail.comhttp://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science?_ob=RedirectURL&_method=outwardLink&_partnerName=936&_eid=1-s2.0-S0959652610003227&_pii=S0959652610003227&_origin=article&_zone=art_page&_targetURL=https%3A%2F%2Fs100.copyright.com%2FAppDispatchServlet%3FpublisherName%3DELS%26contentID%3DS0959652610003227%26orderBeanReset%3Dtrue&_acct=C000060951&_version=1&_userid=3600495&md5=e4f5475211face90dccfca902a3d5e78http://www.sciencedirect.com/science/help/doi.htmhttp://dx.doi.org/10.1016/j.jclepro.2010.08.007http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/article/pii/S0959652610003227http://www.sciencedirect.com/science/journal/09596526
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    Fig. 2. A TFN A = (l, m, u).

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    Table 1. Two linguistic variables for criteria and alternatives (importance and performance level).

    View Within ArticleTable 2. Example of fuzzy synthetic evaluation.

    View Within ArticleTable 3. C for GRA input table andcriteria weights.

    View Within ArticleTable 4. Results of grey relational generating for supplier alternatives.

    View Within ArticleTable 5. Results of grey relational coefficient.

    View Within ArticleTable 6. The final result of optimal supplier and GSCM criteria ranking.

    Note: is presented the optimal selection.

    View Within Article

    Corresponding author. Tel.: +886910309400.

    Copyright 2010 Elsevier Ltd. All rights reserved.

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