Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic

An improved quality function deployment model based on integration of design failure mode and effects analysis and 2-tuple linguistic is proposed to guide the design scheme selection in the product redesign process. By adopting the entropy weight approach, the risk priority number of the risk assess...

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Main Authors: Chuanmin Mi, Yetian Chen, Zhipeng Zhou, Ching-Torng Lin
Format: Article
Language:English
Published: SAGE Publishing 2018-11-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814018811227
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spelling doaj-a008c7c8830b4a029df351f982e0df312020-11-25T02:50:41ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402018-11-011010.1177/1687814018811227Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguisticChuanmin Mi0Yetian Chen1Zhipeng Zhou2Ching-Torng Lin3College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. ChinaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. ChinaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. ChinaDepartment of Information Management, Da-Yeh University, Changhua, TaiwanAn improved quality function deployment model based on integration of design failure mode and effects analysis and 2-tuple linguistic is proposed to guide the design scheme selection in the product redesign process. By adopting the entropy weight approach, the risk priority number of the risk assessment index is improved. Meanwhile, the improved results are fed back in quality function deployment to reassess the target values. In addition, the accuracy of the model on the basis of 2-tuple linguistic is improved in the process of information evaluation and data processing. Finally, the model is applied in the case of gear reducer to demonstrate its applicability. This model can not only improve the product’s reliability, but also enhance the quality of product by taking the customers’ needs and product’s risk priority number into consideration simultaneously and therefore improve the market competitiveness of the products.https://doi.org/10.1177/1687814018811227
collection DOAJ
language English
format Article
sources DOAJ
author Chuanmin Mi
Yetian Chen
Zhipeng Zhou
Ching-Torng Lin
spellingShingle Chuanmin Mi
Yetian Chen
Zhipeng Zhou
Ching-Torng Lin
Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic
Advances in Mechanical Engineering
author_facet Chuanmin Mi
Yetian Chen
Zhipeng Zhou
Ching-Torng Lin
author_sort Chuanmin Mi
title Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic
title_short Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic
title_full Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic
title_fullStr Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic
title_full_unstemmed Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic
title_sort product redesign evaluation: an improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2018-11-01
description An improved quality function deployment model based on integration of design failure mode and effects analysis and 2-tuple linguistic is proposed to guide the design scheme selection in the product redesign process. By adopting the entropy weight approach, the risk priority number of the risk assessment index is improved. Meanwhile, the improved results are fed back in quality function deployment to reassess the target values. In addition, the accuracy of the model on the basis of 2-tuple linguistic is improved in the process of information evaluation and data processing. Finally, the model is applied in the case of gear reducer to demonstrate its applicability. This model can not only improve the product’s reliability, but also enhance the quality of product by taking the customers’ needs and product’s risk priority number into consideration simultaneously and therefore improve the market competitiveness of the products.
url https://doi.org/10.1177/1687814018811227
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AT yetianchen productredesignevaluationanimprovedqualityfunctiondeploymentmodelbasedonfailuremodesandeffectsanalysisand2tuplelinguistic
AT zhipengzhou productredesignevaluationanimprovedqualityfunctiondeploymentmodelbasedonfailuremodesandeffectsanalysisand2tuplelinguistic
AT chingtornglin productredesignevaluationanimprovedqualityfunctiondeploymentmodelbasedonfailuremodesandeffectsanalysisand2tuplelinguistic
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