Fuzzy-AHP approach for evaluation of green product designs

Xiaojun Wang, Hing Kai Chan

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Environmental concerns have become an important topic in recent years. Nevertheless, selection of green product design is a decision-making process that is not easy to address, as this involves both qualitative and quantitative measures. Even worse, uncertain parameters could presence in the process. Therefore, a fuzzy-Analytic Hierarchy Process (AHP) is proposed in this paper to facilitate decision-makers making such decisions. AHP is a useful tool to tackle qualitative aspect of the problems, whereas fuzzy logic can deal with uncertain and vague parameters, which is not uncommon in real situations but is not sufficiently addressed by AHP. The rationale behind the model is to analyse the environmental impacts of different designs, with reference to the life-cycle assessment model using fuzzy-AHP approach.

Original languageEnglish
Title of host publication21st International Conference on Production Research
Subtitle of host publicationInnovation in Product and Production, ICPR 2011 - Conference Proceedings
EditorsTobias Krause, Dieter Spath, Rolf Ilg
PublisherFraunhofer-Verlag
ISBN (Electronic)9783839602935
Publication statusPublished - 2011
Externally publishedYes
Event21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Stuttgart, Germany
Duration: 31 Jul 20114 Aug 2011

Publication series

Name21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings

Conference

Conference21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011
Country/TerritoryGermany
CityStuttgart
Period31/07/114/08/11

Keywords

  • AHP
  • Fuzzy
  • Green product design
  • Risk analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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