An extended fuzzy-AHP approach for the evaluation of green product designs

Hing Kai Chan; Xiaojun Wang; Gareth Reginald Terence White; Nick Yip

doi:10.1109/TEM.2012.2196704

An extended fuzzy-AHP approach for the evaluation of green product designs

Hing Kai Chan^*
, Xiaojun Wang
, Gareth Reginald Terence White
, Nick Yip

^*Corresponding author for this work

Management

Research output: Contribution to journal › Article › peer-review

90 Citations (Scopus)

Abstract

Environmental concerns, from consumers, governments, and academics, have encouraged businesses to incorporate more environmentally conscious designs in their new product development. However, selection of the best green design is a decision-making process that is not easy to address. Life cycle assessment (LCA) is a popular and comprehensive tool to accomplish the objective. Nevertheless, LCA is a time-consuming process that requires substantial resources and expertise. This research proposes an innovative approach to performing structured LCA in conjunction with the concept known as fuzzy analytical hierarchical process. In doing so, some of the disadvantages of LCA can be remedied and this provides a practical tool for performing LCA.

Original language	English
Article number	6204329
Pages (from-to)	327-339
Number of pages	13
Journal	IEEE Transactions on Engineering Management
Volume	60
Issue number	2
DOIs	https://doi.org/10.1109/TEM.2012.2196704
Publication status	Published - 2013

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

Analytical hierarchical process (AHP)
fuzzy logic
green product design
life cycle assessment (LCA)

ASJC Scopus subject areas

Strategy and Management
Electrical and Electronic Engineering

Access to Document

10.1109/TEM.2012.2196704

Cite this

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abstract = "Environmental concerns, from consumers, governments, and academics, have encouraged businesses to incorporate more environmentally conscious designs in their new product development. However, selection of the best green design is a decision-making process that is not easy to address. Life cycle assessment (LCA) is a popular and comprehensive tool to accomplish the objective. Nevertheless, LCA is a time-consuming process that requires substantial resources and expertise. This research proposes an innovative approach to performing structured LCA in conjunction with the concept known as fuzzy analytical hierarchical process. In doing so, some of the disadvantages of LCA can be remedied and this provides a practical tool for performing LCA.",

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AU - Wang, Xiaojun

AU - White, Gareth Reginald Terence

AU - Yip, Nick

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AB - Environmental concerns, from consumers, governments, and academics, have encouraged businesses to incorporate more environmentally conscious designs in their new product development. However, selection of the best green design is a decision-making process that is not easy to address. Life cycle assessment (LCA) is a popular and comprehensive tool to accomplish the objective. Nevertheless, LCA is a time-consuming process that requires substantial resources and expertise. This research proposes an innovative approach to performing structured LCA in conjunction with the concept known as fuzzy analytical hierarchical process. In doing so, some of the disadvantages of LCA can be remedied and this provides a practical tool for performing LCA.

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KW - life cycle assessment (LCA)

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ER -

An extended fuzzy-AHP approach for the evaluation of green product designs

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

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Cite this