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 language | English |
|---|---|
| Title of host publication | 21st International Conference on Production Research |
| Subtitle of host publication | Innovation in Product and Production, ICPR 2011 - Conference Proceedings |
| Editors | Tobias Krause, Dieter Spath, Rolf Ilg |
| Publisher | Fraunhofer-Verlag |
| ISBN (Electronic) | 9783839602935 |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Stuttgart, Germany Duration: 31 Jul 2011 → 4 Aug 2011 |
Publication series
| Name | 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings |
|---|
Conference
| Conference | 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 |
|---|---|
| Country/Territory | Germany |
| City | Stuttgart |
| Period | 31/07/11 → 4/08/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
Free 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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