Green supply chain technology: A comprehensive evaluation and justification multiattribute decision modeling approach

Chunguang Bai; Joseph Sarkis

doi:10.1007/978-3-642-53939-8_28

Green supply chain technology: A comprehensive evaluation and justification multiattribute decision modeling approach

Chunguang Bai
, Joseph Sarkis^*

^*Corresponding author for this work

HUMLOG - The Humanitarian Logistics and Supply Chain Research Institute, Helsinki

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Supply Chain Management Under Fuzziness : Recent Developments and Techniques
Editors	Cengiz Kahraman, Başar Öztayşi
Number of pages	25
Place of Publication	Heidelberg
Publisher	Springer Verlag
Publication date	2014
Pages	655-679
ISBN (Print)	9783642539381
ISBN (Electronic)	9783642539398
DOIs	https://doi.org/10.1007/978-3-642-53939-8_28
Publication status	Published - 2014
MoE publication type	A3 Book chapter

Publication series

Name	Studies in Fuzziness and Soft Computing
Volume	313
ISSN (Print)	1434-9922

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

Fuzzy number
Green supply chain technology
Grey number
TOPSIS
512 Business and Management

Access to Document

10.1007/978-3-642-53939-8_28

OpenUrl availability

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Cite this

Bai, C., & Sarkis, J. (2014). Green supply chain technology: A comprehensive evaluation and justification multiattribute decision modeling approach. In C. Kahraman, & B. Öztayşi (Eds.), Supply Chain Management Under Fuzziness: Recent Developments and Techniques (pp. 655-679). (Studies in Fuzziness and Soft Computing; Vol. 313). Springer Verlag. https://doi.org/10.1007/978-3-642-53939-8_28

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Bai, C & Sarkis, J 2014, Green supply chain technology: A comprehensive evaluation and justification multiattribute decision modeling approach. in C Kahraman & B Öztayşi (eds), Supply Chain Management Under Fuzziness: Recent Developments and Techniques. Studies in Fuzziness and Soft Computing, vol. 313, Springer Verlag, Heidelberg, pp. 655-679. https://doi.org/10.1007/978-3-642-53939-8_28

Green supply chain technology: A comprehensive evaluation and justification multiattribute decision modeling approach. / Bai, Chunguang; Sarkis, Joseph.
Supply Chain Management Under Fuzziness: Recent Developments and Techniques. ed. / Cengiz Kahraman; Başar Öztayşi. Heidelberg: Springer Verlag, 2014. p. 655-679 (Studies in Fuzziness and Soft Computing; Vol. 313).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

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AB - 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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Bai C, Sarkis J. Green supply chain technology: A comprehensive evaluation and justification multiattribute decision modeling approach. In Kahraman C, Öztayşi B, editors, Supply Chain Management Under Fuzziness: Recent Developments and Techniques. Heidelberg: Springer Verlag. 2014. p. 655-679. (Studies in Fuzziness and Soft Computing). doi: 10.1007/978-3-642-53939-8_28

Green supply chain technology: A comprehensive evaluation and justification multiattribute decision modeling approach

Abstract

Publication series

UN SDGs

Keywords

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