Benchmarking eco-efficiency in green supply chain practices in uncertainty

M.-L Tseng, K.-H. Tan, Ming K. Lim, R.-J. Lin, Y. Geng

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Benchmarking has not received much attention in the eco-efficiency literature because of the lack of an appropriate methodology to aid the electronic production process in green supply chain (GSC) practices. This study fills this analytical gap and suggests a rigorous quantitative approach for benchmarking eco-efficiency. However, there are qualitative and quantitative approaches to the eco-efficient criteria. Hence, this study undertakes fuzzy set theory within reference model (known as TODIM), a method that allows users to assess both qualitative and quantitative data together. This study is to aid traditional benchmarking activities and to provide guidance to practitioners and an example of a largest smart phone manufacturer across the globe to demonstrate the proposed technique with appropriate result to benchmark the eco-efficiency in GSC under uncertainty. TODIM is useful for identifying the best performing units against which to be benchmarked as well as for providing actionable measures for improvement of a firm’s performance. This study compares gain and loss functions as benchmarking tools in GSC practices. Implications for managers and directions for future research are discussed.
Original languageEnglish
Pages (from-to)1079-1090
JournalProduction Planning & Control: The Management of Operations
Volume25
Issue number13-14
DOIs
Publication statusPublished - 2013

Fingerprint

Benchmarking
Supply chains
Fuzzy set theory
Managers
Uncertainty
Green supply chain
Eco-efficiency

Bibliographical note

The full text is currently unavailable on the repository.

Keywords

  • eco-efficiency
  • TODIM
  • green supply chain practices
  • gain and loss functions

Cite this

Benchmarking eco-efficiency in green supply chain practices in uncertainty. / Tseng, M.-L; Tan, K.-H.; Lim, Ming K.; Lin, R.-J.; Geng, Y.

In: Production Planning & Control: The Management of Operations, Vol. 25, No. 13-14, 2013, p. 1079-1090.

Research output: Contribution to journalArticle

Tseng, M.-L ; Tan, K.-H. ; Lim, Ming K. ; Lin, R.-J. ; Geng, Y. / Benchmarking eco-efficiency in green supply chain practices in uncertainty. In: Production Planning & Control: The Management of Operations. 2013 ; Vol. 25, No. 13-14. pp. 1079-1090.
@article{c4ff1680e005464997dcbda906bd76d8,
title = "Benchmarking eco-efficiency in green supply chain practices in uncertainty",
abstract = "Benchmarking has not received much attention in the eco-efficiency literature because of the lack of an appropriate methodology to aid the electronic production process in green supply chain (GSC) practices. This study fills this analytical gap and suggests a rigorous quantitative approach for benchmarking eco-efficiency. However, there are qualitative and quantitative approaches to the eco-efficient criteria. Hence, this study undertakes fuzzy set theory within reference model (known as TODIM), a method that allows users to assess both qualitative and quantitative data together. This study is to aid traditional benchmarking activities and to provide guidance to practitioners and an example of a largest smart phone manufacturer across the globe to demonstrate the proposed technique with appropriate result to benchmark the eco-efficiency in GSC under uncertainty. TODIM is useful for identifying the best performing units against which to be benchmarked as well as for providing actionable measures for improvement of a firm’s performance. This study compares gain and loss functions as benchmarking tools in GSC practices. Implications for managers and directions for future research are discussed.",
keywords = "eco-efficiency, TODIM, green supply chain practices, gain and loss functions",
author = "M.-L Tseng and K.-H. Tan and Lim, {Ming K.} and R.-J. Lin and Y. Geng",
note = "The full text is currently unavailable on the repository.",
year = "2013",
doi = "10.1080/09537287.2013.808837",
language = "English",
volume = "25",
pages = "1079--1090",
journal = "Production Planning & Control: The Management of Operations",
issn = "0953-7287",
publisher = "Taylor & Francis",
number = "13-14",

}

TY - JOUR

T1 - Benchmarking eco-efficiency in green supply chain practices in uncertainty

AU - Tseng, M.-L

AU - Tan, K.-H.

AU - Lim, Ming K.

AU - Lin, R.-J.

AU - Geng, Y.

N1 - The full text is currently unavailable on the repository.

PY - 2013

Y1 - 2013

N2 - Benchmarking has not received much attention in the eco-efficiency literature because of the lack of an appropriate methodology to aid the electronic production process in green supply chain (GSC) practices. This study fills this analytical gap and suggests a rigorous quantitative approach for benchmarking eco-efficiency. However, there are qualitative and quantitative approaches to the eco-efficient criteria. Hence, this study undertakes fuzzy set theory within reference model (known as TODIM), a method that allows users to assess both qualitative and quantitative data together. This study is to aid traditional benchmarking activities and to provide guidance to practitioners and an example of a largest smart phone manufacturer across the globe to demonstrate the proposed technique with appropriate result to benchmark the eco-efficiency in GSC under uncertainty. TODIM is useful for identifying the best performing units against which to be benchmarked as well as for providing actionable measures for improvement of a firm’s performance. This study compares gain and loss functions as benchmarking tools in GSC practices. Implications for managers and directions for future research are discussed.

AB - Benchmarking has not received much attention in the eco-efficiency literature because of the lack of an appropriate methodology to aid the electronic production process in green supply chain (GSC) practices. This study fills this analytical gap and suggests a rigorous quantitative approach for benchmarking eco-efficiency. However, there are qualitative and quantitative approaches to the eco-efficient criteria. Hence, this study undertakes fuzzy set theory within reference model (known as TODIM), a method that allows users to assess both qualitative and quantitative data together. This study is to aid traditional benchmarking activities and to provide guidance to practitioners and an example of a largest smart phone manufacturer across the globe to demonstrate the proposed technique with appropriate result to benchmark the eco-efficiency in GSC under uncertainty. TODIM is useful for identifying the best performing units against which to be benchmarked as well as for providing actionable measures for improvement of a firm’s performance. This study compares gain and loss functions as benchmarking tools in GSC practices. Implications for managers and directions for future research are discussed.

KW - eco-efficiency

KW - TODIM

KW - green supply chain practices

KW - gain and loss functions

U2 - 10.1080/09537287.2013.808837

DO - 10.1080/09537287.2013.808837

M3 - Article

VL - 25

SP - 1079

EP - 1090

JO - Production Planning & Control: The Management of Operations

JF - Production Planning & Control: The Management of Operations

SN - 0953-7287

IS - 13-14

ER -