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Green Supply Chain Technology: A Comprehensive Evaluation and Justification Multiattribute Decision Modeling Approach

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Supply Chain Management Under Fuzziness

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 313))

Abstract

Green and sustainable supply chain activities are implemented as organizations and their partners respond to environmental pressures. Many of these activities require supporting technologies to help meet their goals. These technologies may include product, process, or organizational technologies that can help in planning and managing the activities. The evaluation of these technologies is not always a trivial approach that is based only on cost. Multiple factors and attributes come are considered in such situations. Thus, tools and models to help in green supply chain management technology evaluation and justification decisions can prove valuable. Using regular, grey, and fuzzy numbers within a TOPSIS methodology we seek to address this issue. Data is evaluated with an illustrative illustration to exemplify the utility of this approach. Insights for the reader are also presented in this Chapter.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China Project (71102090); Liaoning Education Department Foundation of China (W2011125).

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Authors and Affiliations

  1. School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, People’s Republic of China

    Chunguang Bai

  2. School of Business, Worcester Polytechnic, Worcester, MA, USA

    Joseph Sarkis

Authors
  1. Chunguang Bai
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  2. Joseph Sarkis
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Corresponding author

Correspondence to Joseph Sarkis .

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Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Başar Öztayşi

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Bai, C., Sarkis, J. (2014). Green Supply Chain Technology: A Comprehensive Evaluation and Justification Multiattribute Decision Modeling Approach. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_28

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  • DOI: https://doi.org/10.1007/978-3-642-53939-8_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53938-1

  • Online ISBN: 978-3-642-53939-8

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