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    Evaluation of Design Alternatives’ Environmental Impact by Integrating Fuzzy Analytic Hierarchy Process and Evidential Reasoning Approach

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2015:;volume( 001 ):;issue: 001::page 11008
    Author:
    Ng, C. Y.
    ,
    Chuah, K. B.
    DOI: 10.1115/1.4029404
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Today “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.
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      Evaluation of Design Alternatives’ Environmental Impact by Integrating Fuzzy Analytic Hierarchy Process and Evidential Reasoning Approach

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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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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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