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

Chunguang Bai, Joseph Sarkis*

*Motsvarande författare för detta arbete

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKapitelVetenskapligPeer review

7 Citeringar (Scopus)

Sammanfattning

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.

OriginalspråkEngelska
Titel på värdpublikationSupply Chain Management Under Fuzziness : Recent Developments and Techniques
RedaktörerCengiz Kahraman, Başar Öztayşi
Antal sidor25
UtgivningsortHeidelberg
FörlagSpringer Verlag
Utgivningsdatum2014
Sidor655-679
ISBN (tryckt)9783642539381
ISBN (elektroniskt)9783642539398
DOI
StatusPublicerad - 2014
MoE-publikationstypA3 Del av bok eller annat samlingsverk

Publikationsserier

NamnStudies in Fuzziness and Soft Computing
Volym313
ISSN (tryckt)1434-9922

Nyckelord

  • 512 Företagsekonomi

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