A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products
Quality function deployment is a cross-functional decision-making tool that converts customer needs into technical attributes of new products. Fuzzy numbers are usually adopted to evaluate the customer need importance and the customer need–technical attribute relationships. However, the weighted nor...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Xiuzhen [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: © IMechE 2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Proceedings of the Institution of Mechanical Engineers / B - London : Inst., 1983, 230(2016), 12, Seite 2249-2263 |
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| Übergeordnetes Werk: |
volume:230 ; year:2016 ; number:12 ; pages:2249-2263 |
| Links: |
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| DOI / URN: |
10.1177/0954405416673111 |
|---|
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OLC1988638860 |
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| 245 | 1 | 2 | |a A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products |
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| 520 | |a Quality function deployment is a cross-functional decision-making tool that converts customer needs into technical attributes of new products. Fuzzy numbers are usually adopted to evaluate the customer need importance and the customer need–technical attribute relationships. However, the weighted normalized customer need–technical attribute relationship matrix is not always full rank. If the different fuzzy numbers of two technical attributes are defined as the fuzzy negative ideal solutions, both the closeness coefficients are 0, and the traditional technique for order preference by similarity to an ideal solution cannot prioritize the two technical attributes. Actually, the rankings of different fuzzy numbers are not identical. To solve this problem, we present a new technique for order preference by similarity to an ideal solution to prioritize technical attributes in the fuzzy quality function deployment. The fuzzy positive ideal solution, fuzzy negative ideal solution, and distance measurement of the new technique for order preference by similarity to an ideal solution are improved. As a result, the proposed method not only prioritizes various forms of numbers without considering the lower and upper limits, the median, and boundary interval but also deals with the nonfull rank matrix. Besides, the Theory of Inventive Problem Solving is used to solve technical conflicts which are identified by the line-fitting method. The prioritization results from the proposed method can help to reasonably allocate design and manufacturing resources. Finally, a case on phone shell is given to illustrate the application of the proposed quality function deployment method. | ||
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10.1177/0954405416673111 doi PQ20170206 (DE-627)OLC1988638860 (DE-599)GBVOLC1988638860 (PRQ)c1671-ceb8d386575457e262978eb6f8f928a5b78714839e8a7ff32063841d8e7439140 (KEY)0121118820160000230001202249fuzzytechniquefororderpreferencebysimilaritytoanid DE-627 ger DE-627 rakwb eng 620 DNB 52.70 bkl Li, Xiuzhen verfasserin aut A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quality function deployment is a cross-functional decision-making tool that converts customer needs into technical attributes of new products. Fuzzy numbers are usually adopted to evaluate the customer need importance and the customer need–technical attribute relationships. However, the weighted normalized customer need–technical attribute relationship matrix is not always full rank. If the different fuzzy numbers of two technical attributes are defined as the fuzzy negative ideal solutions, both the closeness coefficients are 0, and the traditional technique for order preference by similarity to an ideal solution cannot prioritize the two technical attributes. Actually, the rankings of different fuzzy numbers are not identical. To solve this problem, we present a new technique for order preference by similarity to an ideal solution to prioritize technical attributes in the fuzzy quality function deployment. The fuzzy positive ideal solution, fuzzy negative ideal solution, and distance measurement of the new technique for order preference by similarity to an ideal solution are improved. As a result, the proposed method not only prioritizes various forms of numbers without considering the lower and upper limits, the median, and boundary interval but also deals with the nonfull rank matrix. Besides, the Theory of Inventive Problem Solving is used to solve technical conflicts which are identified by the line-fitting method. The prioritization results from the proposed method can help to reasonably allocate design and manufacturing resources. Finally, a case on phone shell is given to illustrate the application of the proposed quality function deployment method. Nutzungsrecht: © IMechE 2016 Quality Ming, Xinguo oth Song, Wenyan oth Qiu, Siqi oth Qu, Yuanju oth Liu, Zhiwen oth Enthalten in Proceedings of the Institution of Mechanical Engineers / B London : Inst., 1983 230(2016), 12, Seite 2249-2263 (DE-627)130863106 (DE-600)1030835-0 (DE-576)023106425 0954-4054 nnns volume:230 year:2016 number:12 pages:2249-2263 http://dx.doi.org/10.1177/0954405416673111 Volltext http://journals.sagepub.com/doi/full/10.1177/0954405416673111 http://search.proquest.com/docview/1850014384 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 52.70 AVZ AR 230 2016 12 2249-2263 |
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10.1177/0954405416673111 doi PQ20170206 (DE-627)OLC1988638860 (DE-599)GBVOLC1988638860 (PRQ)c1671-ceb8d386575457e262978eb6f8f928a5b78714839e8a7ff32063841d8e7439140 (KEY)0121118820160000230001202249fuzzytechniquefororderpreferencebysimilaritytoanid DE-627 ger DE-627 rakwb eng 620 DNB 52.70 bkl Li, Xiuzhen verfasserin aut A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quality function deployment is a cross-functional decision-making tool that converts customer needs into technical attributes of new products. Fuzzy numbers are usually adopted to evaluate the customer need importance and the customer need–technical attribute relationships. However, the weighted normalized customer need–technical attribute relationship matrix is not always full rank. If the different fuzzy numbers of two technical attributes are defined as the fuzzy negative ideal solutions, both the closeness coefficients are 0, and the traditional technique for order preference by similarity to an ideal solution cannot prioritize the two technical attributes. Actually, the rankings of different fuzzy numbers are not identical. To solve this problem, we present a new technique for order preference by similarity to an ideal solution to prioritize technical attributes in the fuzzy quality function deployment. The fuzzy positive ideal solution, fuzzy negative ideal solution, and distance measurement of the new technique for order preference by similarity to an ideal solution are improved. As a result, the proposed method not only prioritizes various forms of numbers without considering the lower and upper limits, the median, and boundary interval but also deals with the nonfull rank matrix. Besides, the Theory of Inventive Problem Solving is used to solve technical conflicts which are identified by the line-fitting method. The prioritization results from the proposed method can help to reasonably allocate design and manufacturing resources. Finally, a case on phone shell is given to illustrate the application of the proposed quality function deployment method. Nutzungsrecht: © IMechE 2016 Quality Ming, Xinguo oth Song, Wenyan oth Qiu, Siqi oth Qu, Yuanju oth Liu, Zhiwen oth Enthalten in Proceedings of the Institution of Mechanical Engineers / B London : Inst., 1983 230(2016), 12, Seite 2249-2263 (DE-627)130863106 (DE-600)1030835-0 (DE-576)023106425 0954-4054 nnns volume:230 year:2016 number:12 pages:2249-2263 http://dx.doi.org/10.1177/0954405416673111 Volltext http://journals.sagepub.com/doi/full/10.1177/0954405416673111 http://search.proquest.com/docview/1850014384 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 52.70 AVZ AR 230 2016 12 2249-2263 |
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10.1177/0954405416673111 doi PQ20170206 (DE-627)OLC1988638860 (DE-599)GBVOLC1988638860 (PRQ)c1671-ceb8d386575457e262978eb6f8f928a5b78714839e8a7ff32063841d8e7439140 (KEY)0121118820160000230001202249fuzzytechniquefororderpreferencebysimilaritytoanid DE-627 ger DE-627 rakwb eng 620 DNB 52.70 bkl Li, Xiuzhen verfasserin aut A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quality function deployment is a cross-functional decision-making tool that converts customer needs into technical attributes of new products. Fuzzy numbers are usually adopted to evaluate the customer need importance and the customer need–technical attribute relationships. However, the weighted normalized customer need–technical attribute relationship matrix is not always full rank. If the different fuzzy numbers of two technical attributes are defined as the fuzzy negative ideal solutions, both the closeness coefficients are 0, and the traditional technique for order preference by similarity to an ideal solution cannot prioritize the two technical attributes. Actually, the rankings of different fuzzy numbers are not identical. To solve this problem, we present a new technique for order preference by similarity to an ideal solution to prioritize technical attributes in the fuzzy quality function deployment. The fuzzy positive ideal solution, fuzzy negative ideal solution, and distance measurement of the new technique for order preference by similarity to an ideal solution are improved. As a result, the proposed method not only prioritizes various forms of numbers without considering the lower and upper limits, the median, and boundary interval but also deals with the nonfull rank matrix. Besides, the Theory of Inventive Problem Solving is used to solve technical conflicts which are identified by the line-fitting method. The prioritization results from the proposed method can help to reasonably allocate design and manufacturing resources. Finally, a case on phone shell is given to illustrate the application of the proposed quality function deployment method. Nutzungsrecht: © IMechE 2016 Quality Ming, Xinguo oth Song, Wenyan oth Qiu, Siqi oth Qu, Yuanju oth Liu, Zhiwen oth Enthalten in Proceedings of the Institution of Mechanical Engineers / B London : Inst., 1983 230(2016), 12, Seite 2249-2263 (DE-627)130863106 (DE-600)1030835-0 (DE-576)023106425 0954-4054 nnns volume:230 year:2016 number:12 pages:2249-2263 http://dx.doi.org/10.1177/0954405416673111 Volltext http://journals.sagepub.com/doi/full/10.1177/0954405416673111 http://search.proquest.com/docview/1850014384 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 52.70 AVZ AR 230 2016 12 2249-2263 |
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A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products |
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A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products |
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fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products |
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A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products |
| abstract |
Quality function deployment is a cross-functional decision-making tool that converts customer needs into technical attributes of new products. Fuzzy numbers are usually adopted to evaluate the customer need importance and the customer need–technical attribute relationships. However, the weighted normalized customer need–technical attribute relationship matrix is not always full rank. If the different fuzzy numbers of two technical attributes are defined as the fuzzy negative ideal solutions, both the closeness coefficients are 0, and the traditional technique for order preference by similarity to an ideal solution cannot prioritize the two technical attributes. Actually, the rankings of different fuzzy numbers are not identical. To solve this problem, we present a new technique for order preference by similarity to an ideal solution to prioritize technical attributes in the fuzzy quality function deployment. The fuzzy positive ideal solution, fuzzy negative ideal solution, and distance measurement of the new technique for order preference by similarity to an ideal solution are improved. As a result, the proposed method not only prioritizes various forms of numbers without considering the lower and upper limits, the median, and boundary interval but also deals with the nonfull rank matrix. Besides, the Theory of Inventive Problem Solving is used to solve technical conflicts which are identified by the line-fitting method. The prioritization results from the proposed method can help to reasonably allocate design and manufacturing resources. Finally, a case on phone shell is given to illustrate the application of the proposed quality function deployment method. |
| abstractGer |
Quality function deployment is a cross-functional decision-making tool that converts customer needs into technical attributes of new products. Fuzzy numbers are usually adopted to evaluate the customer need importance and the customer need–technical attribute relationships. However, the weighted normalized customer need–technical attribute relationship matrix is not always full rank. If the different fuzzy numbers of two technical attributes are defined as the fuzzy negative ideal solutions, both the closeness coefficients are 0, and the traditional technique for order preference by similarity to an ideal solution cannot prioritize the two technical attributes. Actually, the rankings of different fuzzy numbers are not identical. To solve this problem, we present a new technique for order preference by similarity to an ideal solution to prioritize technical attributes in the fuzzy quality function deployment. The fuzzy positive ideal solution, fuzzy negative ideal solution, and distance measurement of the new technique for order preference by similarity to an ideal solution are improved. As a result, the proposed method not only prioritizes various forms of numbers without considering the lower and upper limits, the median, and boundary interval but also deals with the nonfull rank matrix. Besides, the Theory of Inventive Problem Solving is used to solve technical conflicts which are identified by the line-fitting method. The prioritization results from the proposed method can help to reasonably allocate design and manufacturing resources. Finally, a case on phone shell is given to illustrate the application of the proposed quality function deployment method. |
| abstract_unstemmed |
Quality function deployment is a cross-functional decision-making tool that converts customer needs into technical attributes of new products. Fuzzy numbers are usually adopted to evaluate the customer need importance and the customer need–technical attribute relationships. However, the weighted normalized customer need–technical attribute relationship matrix is not always full rank. If the different fuzzy numbers of two technical attributes are defined as the fuzzy negative ideal solutions, both the closeness coefficients are 0, and the traditional technique for order preference by similarity to an ideal solution cannot prioritize the two technical attributes. Actually, the rankings of different fuzzy numbers are not identical. To solve this problem, we present a new technique for order preference by similarity to an ideal solution to prioritize technical attributes in the fuzzy quality function deployment. The fuzzy positive ideal solution, fuzzy negative ideal solution, and distance measurement of the new technique for order preference by similarity to an ideal solution are improved. As a result, the proposed method not only prioritizes various forms of numbers without considering the lower and upper limits, the median, and boundary interval but also deals with the nonfull rank matrix. Besides, the Theory of Inventive Problem Solving is used to solve technical conflicts which are identified by the line-fitting method. The prioritization results from the proposed method can help to reasonably allocate design and manufacturing resources. Finally, a case on phone shell is given to illustrate the application of the proposed quality function deployment method. |
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A fuzzy technique for order preference by similarity to an ideal solution–based quality function deployment for prioritizing technical attributes of new products |
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http://dx.doi.org/10.1177/0954405416673111 http://journals.sagepub.com/doi/full/10.1177/0954405416673111 http://search.proquest.com/docview/1850014384 |
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Ming, Xinguo Song, Wenyan Qiu, Siqi Qu, Yuanju Liu, Zhiwen |
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