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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2018-11-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814018811227 |
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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 |
work_keys_str_mv |
AT chuanminmi productredesignevaluationanimprovedqualityfunctiondeploymentmodelbasedonfailuremodesandeffectsanalysisand2tuplelinguistic AT yetianchen productredesignevaluationanimprovedqualityfunctiondeploymentmodelbasedonfailuremodesandeffectsanalysisand2tuplelinguistic AT zhipengzhou productredesignevaluationanimprovedqualityfunctiondeploymentmodelbasedonfailuremodesandeffectsanalysisand2tuplelinguistic AT chingtornglin productredesignevaluationanimprovedqualityfunctiondeploymentmodelbasedonfailuremodesandeffectsanalysisand2tuplelinguistic |
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