Dey, Prasanta Kumar, Cheffi, Walid and Nunes, Breno (2013). Green supply chain performance measurement using the analytic hierarchy process:a comparative analysis of manufacturing organisations. Production Planning and Control, 24 (8-9), pp. 702-720.
Abstract
The main purpose of this research is to develop and deploy an analytical framework for measuring the environmental performance of manufacturing supply chains. This work's theoretical bases combine and reconcile three major areas: supply chain management, environmental management and performance measurement. Researchers have suggested many empirical criteria for green supply chain (GSC) performance measurement and proposed both qualitative and quantitative frameworks. However, these are mainly operational in nature and specific to the focal company. This research develops an innovative GSC performance measurement framework by integrating supply chain processes (supplier relationship management, internal supply chain management and customer relationship management) with organisational decision levels (both strategic and operational). Environmental planning, environmental auditing, management commitment, environmental performance, economic performance and operational performance are the key level constructs. The proposed framework is then applied to three selected manufacturing organisations in the UK. Their GSC performance is measured and benchmarked by using the analytic hierarchy process (AHP), a multiple-attribute decision-making technique. The AHP-based framework offers an effective way to measure and benchmark organisations’ GSC performance. This study has both theoretical and practical implications. Theoretically it contributes holistic constructs for designing a GSC and managing it for sustainability; and practically it helps industry practitioners to measure and improve the environmental performance of their supply chain. © 2013 Copyright Taylor and Francis Group, LLC. CORRIGENDUM DOI 10.1080/09537287.2012.751186 In the article ‘Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations’ by Prasanta Kumar Dey and Walid Cheffi, Production Planning & Control, 10.1080/09537287.2012.666859, a third author is added which was not included in the paper as it originally appeared. The third author is Breno Nunes.
Publication DOI: | https://doi.org/10.1080/09537287.2012.666859 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Operations & Information Management College of Business and Social Sciences > Aston Business School > Aston India Foundation for Applied Research College of Business and Social Sciences > Aston Business School Aston University (General) |
Additional Information: | This is an Author's Accepted Manuscript of an article published in Dey, P. K., & Cheffi, W. (2013). Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations. Production planning and control, 24(8-9), 702-720. Production planning and control 2013 © Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/09537287.2012.666859. Corrigendum. (2014). Production Planning & Control. Volume 25 Issue 9 |
Uncontrolled Keywords: | green supply chains,performance measurement,analytical hierarchy process,manufacturing industry,strategic and operational performance constructs,Industrial and Manufacturing Engineering,Computer Science Applications,Strategy and Management,Management Science and Operations Research |
Publication ISSN: | 1366-5871 |
Last Modified: | 18 Nov 2024 08:06 |
Date Deposited: | 30 Sep 2013 10:15 |
Full Text Link: |
http://www.tand ... 287.2012.666859 http://www.tand ... 287.2012.751186 |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Special issue |
Published Date: | 2013-09-01 |
Published Online Date: | 2012-03-19 |
Authors: |
Dey, Prasanta Kumar
(
0000-0002-9984-5374)
Cheffi, Walid Nunes, Breno ( 0000-0001-8892-2728) |