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Decarbonising product supply chains: design and development of an integrated evidence-based decision support system - the supply chain environmental analysis tool (SCEnAT)

Koh, S.C. Lenny, Genovese, Andrea, Acquaye, Adolf, Barratt, Paul, Rana, Nasir, Kuylenstierna, Johan, Gibbs, David (2013) Decarbonising product supply chains: design and development of an integrated evidence-based decision support system - the supply chain environmental analysis tool (SCEnAT). International Journal of Production Research, 51 (7). pp. 2092-2109. ISSN 0020-7543. (doi:10.1080/00207543.2012.705042) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35211)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1080/00207543.2012.705042

Abstract

Based upon an increasing academic and business interest in greening the industrial supply chains, this paper establishes the need for a state-of-the-art decision support system (DSS) for carbon emissions accounting and management, mainly across the product supply chains by identifying methodological shortcomings in existing tools, and proposing a supply chain (SC) framework which provide businesses with a holistic understanding of their supply chains and ensuring partners within supply chain collaborative networks have a shared understanding of their emissions. It describes the design and development of a DSS now known as supply chain environmental analysis tool (SCEnAT) in detail, putting its unique and innovative features into a comparative perspective vis-a`-vis existing tools and software of different types. The methodological framework used to design and develop SCEnAT integrates different individual techniques/methods of supply chain (SC) mapping, SC carbon accounting, SC interventions and SC interventions evaluation on a range of key performance indicators (KPIs). These individual methods have been used and applied innovatively to the challenge of designing SCEnAT within the desired framework. Finally, we demonstrate the

making for lowering carbon along the supply chain with the most robust methodology of hybrid life cycle analysis (LCA) that considers direct and indirect emissions and interventional performance evaluation for low carbon technology investment and business case building in order to adapt and mitigate climate change problems. This research has implications for future sustainability research in SC, decisions science,

management theory, practice and policy.

Item Type: Article
DOI/Identification number: 10.1080/00207543.2012.705042
Uncontrolled keywords: SC management; SC decarbonisation; decision support system; SC mapping; SC carbon accounting; SC low carbon interventions
Subjects: H Social Sciences
H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Faculties > Social Sciences > Kent Business School
Faculties > Social Sciences > Kent Business School > Management Science
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Catherine Norman
Date Deposited: 16 Sep 2013 13:21 UTC
Last Modified: 06 Feb 2020 04:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35211 (The current URI for this page, for reference purposes)
Acquaye, Adolf: https://orcid.org/0000-0003-0430-2498
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