A framework for evaluating the performance of sustainable service supply chain management under uncertainty

Ming-Lang Tseng, Ming Lim, Wai-Peng Wong, Yi-Chun Chen, Yuanzhu Zhan

Research output: Research - peer-reviewArticle

  • 2 Citations

Abstract

Developing and accessing a measure of sustainable service supply chain management (SSSCM) performance is currently a key challenge. The main contributions of this study are two-fold. First, this paper provides valuable support for SSSCM regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this study indicates the practical implementation and enhances management effectiveness for SSSCM. The literature on SSSCM is very limited and performance measures need to have a systematic framework. The purpose of this study is to develop and evaluate the SSSCM importance based on aspects i.e., environmentally conscious design, environmental service operations design and environmentally sustainable design. This paper developed a hierarchical network for SSSCM in a closed-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method and Analytical Network Process were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSSCM. The results indicate that the top-ranking aspect to consider is that of environmental service operation design, and the top criteria is reverse logistics integrated into service package

LanguageEnglish
Pages359-372
Number of pages14
JournalInternational Journal of Production Economics
Volume195
Early online date5 Sep 2016
DOIs
StatePublished - Jan 2018

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Uncertainty
Supply chain management
Logistics

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics, [(in press), (in press), (2016)] DOI: 10.1016/j.ijpe.2016.09.002 © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Sustainable design
  • Fuzzy set theory
  • Fuzzy Delphi method (FDM)
  • Analytical network process
  • Sustainable service supply chain management

Cite this

A framework for evaluating the performance of sustainable service supply chain management under uncertainty. / Tseng, Ming-Lang; Lim, Ming; Wong, Wai-Peng; Chen, Yi-Chun; Zhan, Yuanzhu.

In: International Journal of Production Economics, Vol. 195, 01.2018, p. 359-372.

Research output: Research - peer-reviewArticle

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