An integrated sustainability analysis approach to support holistic decision making in sustainable supply chain management

Shaofeng Liu; Zhihong Wang; Li Liu

doi:10.3233/978-1-61499-073-4-391

An integrated sustainability analysis approach to support holistic decision making in sustainable supply chain management

Shaofeng Liu^*
, Zhihong Wang
, Li Liu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review

Abstract

Sustainable Supply Chain Management (SSCM) has recently emerged to address environmental and social concerns in product and service operations. Existing research has investigated sustainability issues at isolated stages of the supply chains. This paper aims to address Triple Bottom Line sustainability in a coherent manner. The paper proposes an integrated sustainability analysis (ISA) approach which seamlessly integrates Life Cycle Assessment into Multi-Criteria Decision Making process. Application of the integrated approach to an industrial case demonstrates that the proposed approach can provide concerted scientific backup to efficiently and effectively support holistic decision making in SSCM. The ISA approach has the potential to enable true integration of environmental management and social responsibility with supply chain management.

Original language	English
Title of host publication	Fusing Decision Support Systems into the Fabric of the Context
Publisher	IOS Press BV
Pages	391-402
Number of pages	12
Volume	238
ISBN (Print)	9781614990727
DOIs	https://doi.org/10.3233/978-1-61499-073-4-391
Publication status	Published - 1 Jun 2012

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	238
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 17 Partnerships for the Goals

ASJC Scopus subject areas

Artificial Intelligence

Keywords

integrated sustainability analysis
life cycle assessment
multi-criteria decision making
Sustainable supply chain management

Access to Document

10.3233/978-1-61499-073-4-391

Cite this

Liu, S., Wang, Z., & Liu, L. (2012). An integrated sustainability analysis approach to support holistic decision making in sustainable supply chain management. In Fusing Decision Support Systems into the Fabric of the Context (Vol. 238, pp. 391-402). (Frontiers in Artificial Intelligence and Applications; Vol. 238). IOS Press BV. https://doi.org/10.3233/978-1-61499-073-4-391

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abstract = "Sustainable Supply Chain Management (SSCM) has recently emerged to address environmental and social concerns in product and service operations. Existing research has investigated sustainability issues at isolated stages of the supply chains. This paper aims to address Triple Bottom Line sustainability in a coherent manner. The paper proposes an integrated sustainability analysis (ISA) approach which seamlessly integrates Life Cycle Assessment into Multi-Criteria Decision Making process. Application of the integrated approach to an industrial case demonstrates that the proposed approach can provide concerted scientific backup to efficiently and effectively support holistic decision making in SSCM. The ISA approach has the potential to enable true integration of environmental management and social responsibility with supply chain management.",

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doi = "10.3233/978-1-61499-073-4-391",

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An integrated sustainability analysis approach to support holistic decision making in sustainable supply chain management. / Liu, Shaofeng; Wang, Zhihong; Liu, Li.
Fusing Decision Support Systems into the Fabric of the Context. Vol. 238 IOS Press BV, 2012. p. 391-402 (Frontiers in Artificial Intelligence and Applications; Vol. 238).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review

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N2 - Sustainable Supply Chain Management (SSCM) has recently emerged to address environmental and social concerns in product and service operations. Existing research has investigated sustainability issues at isolated stages of the supply chains. This paper aims to address Triple Bottom Line sustainability in a coherent manner. The paper proposes an integrated sustainability analysis (ISA) approach which seamlessly integrates Life Cycle Assessment into Multi-Criteria Decision Making process. Application of the integrated approach to an industrial case demonstrates that the proposed approach can provide concerted scientific backup to efficiently and effectively support holistic decision making in SSCM. The ISA approach has the potential to enable true integration of environmental management and social responsibility with supply chain management.

AB - Sustainable Supply Chain Management (SSCM) has recently emerged to address environmental and social concerns in product and service operations. Existing research has investigated sustainability issues at isolated stages of the supply chains. This paper aims to address Triple Bottom Line sustainability in a coherent manner. The paper proposes an integrated sustainability analysis (ISA) approach which seamlessly integrates Life Cycle Assessment into Multi-Criteria Decision Making process. Application of the integrated approach to an industrial case demonstrates that the proposed approach can provide concerted scientific backup to efficiently and effectively support holistic decision making in SSCM. The ISA approach has the potential to enable true integration of environmental management and social responsibility with supply chain management.

KW - integrated sustainability analysis

KW - life cycle assessment

KW - multi-criteria decision making

KW - Sustainable supply chain management

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BT - Fusing Decision Support Systems into the Fabric of the Context

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An integrated sustainability analysis approach to support holistic decision making in sustainable supply chain management

Abstract

Publication series

UN SDGs

ASJC Scopus subject areas

Keywords

Access to Document

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