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dc.contributor.authorNg, C. Y.
dc.contributor.authorChuah, K. B.
dc.date.accessioned2017-05-09T01:14:24Z
dc.date.available2017-05-09T01:14:24Z
dc.date.issued2015
dc.identifier.issn2332-9017
dc.identifier.otherRISK_1_1_011008.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/156863
dc.description.abstractToday “ecodesignâ€‌ is a necessary consideration in the product development process. With increasing general awareness of the need for environmental production and more stringent regulatory requirements, manufacturers have to try to minimize their environmental impact. Lifecycle assessment (LCA) methodology is a generally accepted quantitative approach that can be applied to support environmental impact evaluations of a product. However, despite the timeconsuming and resourceconsuming attributes of the LCA, it has difficulty to deal with uncertain information. Therefore, LCA is yet to be a practical approach for environmental impact evaluation, particularly, during new product development (NPD). This paper proposes an approach to evaluate the environmental performance of design alternatives during NPD. The use of multiple criteria decisionmaking (MCDM) approaches with LCA methodology for the evaluation of design alternatives’ environmental performance during NPD processes is first discussed. The proposed approach integrates analytic hierarchy process (AHP) and fuzzy set theory (FST) with evidential reasoning (ER) in the evaluation of environmental performance to prioritize different design options. A case study is described to illustrate the use of the proposed method.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleEvaluation of Design Alternatives’ Environmental Impact by Integrating Fuzzy Analytic Hierarchy Process and Evidential Reasoning Approach
dc.typeJournal Paper
dc.journal.volume1
dc.journal.issue1
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
dc.identifier.doi10.1115/1.4029404
dc.journal.fristpage11008
dc.journal.lastpage11008
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2015:;volume( 001 ):;issue: 001
dc.contenttypeFulltext


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