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

Chunguang Bai, Joseph Sarkis*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

5 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 languageEnglish
Title of host publicationSupply Chain Management Under Fuzziness : Recent Developments and Techniques
EditorsCengiz Kahraman, Başar Öztayşi
Number of pages25
Place of PublicationHeidelberg
PublisherSpringer Verlag
Publication date2014
Pages655-679
ISBN (Print)9783642539381
ISBN (Electronic)9783642539398
DOIs
Publication statusPublished - 2014
MoE publication typeA3 Book chapter

Publication series

NameStudies in Fuzziness and Soft Computing
Volume313
ISSN (Print)1434-9922

Keywords

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

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