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contributor authorNg, C. Y.
contributor authorChuah, K. B.
date accessioned2017-05-09T01:14:24Z
date available2017-05-09T01:14:24Z
date issued2015
identifier issn2332-9017
identifier otherRISK_1_1_011008.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/156863
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.
publisherThe American Society of Mechanical Engineers (ASME)
titleEvaluation of Design Alternatives’ Environmental Impact by Integrating Fuzzy Analytic Hierarchy Process and Evidential Reasoning Approach
typeJournal Paper
journal volume1
journal issue1
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
identifier doi10.1115/1.4029404
journal fristpage11008
journal lastpage11008
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2015:;volume( 001 ):;issue: 001
contenttypeFulltext


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