A Fuzzy Design Decision Model for New Healthcare Service Conceptualization
This paper purpose a structural design decision model by using service blueprint, failure mode effect analysis (FMEA), Fuzzy method, and the theory of inventive problem solving (TRIZ). In “service process analysis” stage, the service blueprint approach is used to analyze the potential service failur...
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| Veröffentlicht in: | International journal of fuzzy systems 2021-02, Vol.23 (1), p.58-80 |
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| creator | Shie, An-Jin Lee, Ching-Hung Yu, Shu-Yan Wang, Chang |
| description | This paper purpose a structural design decision model by using service blueprint, failure mode effect analysis (FMEA), Fuzzy method, and the theory of inventive problem solving (TRIZ). In “service process analysis” stage, the service blueprint approach is used to analyze the potential service failure points in the service process. Then, FMEA is employed to diagnose the possible causes and effects of the service failure model in “service failure diagnosis” stage. The service failure models are prioritized according to the calculated integrated Risk Priority Number (RPN) and fuzzy number. In “innovative principle generation” stage, the innovative principles are generated by utilizing the TRIZ matrix. Finally, in “innovative solution conceptualization” stage, the TRIZ inventive principles are used to inspire the new solution for new service design. An empirical survey of home-care service agencies in Beijing is conducted to demonstrate the applicability of the proposed 2S2I model to improve home-care services, medical-equipment designs, and service delivery. The advantages, implications, and contributions of 2S2I model are also concluded. |
| doi_str_mv | 10.1007/s40815-020-00942-6 |
| format | Article |
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In “service process analysis” stage, the service blueprint approach is used to analyze the potential service failure points in the service process. Then, FMEA is employed to diagnose the possible causes and effects of the service failure model in “service failure diagnosis” stage. The service failure models are prioritized according to the calculated integrated Risk Priority Number (RPN) and fuzzy number. In “innovative principle generation” stage, the innovative principles are generated by utilizing the TRIZ matrix. Finally, in “innovative solution conceptualization” stage, the TRIZ inventive principles are used to inspire the new solution for new service design. An empirical survey of home-care service agencies in Beijing is conducted to demonstrate the applicability of the proposed 2S2I model to improve home-care services, medical-equipment designs, and service delivery. 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J. Fuzzy Syst</addtitle><description>This paper purpose a structural design decision model by using service blueprint, failure mode effect analysis (FMEA), Fuzzy method, and the theory of inventive problem solving (TRIZ). In “service process analysis” stage, the service blueprint approach is used to analyze the potential service failure points in the service process. Then, FMEA is employed to diagnose the possible causes and effects of the service failure model in “service failure diagnosis” stage. The service failure models are prioritized according to the calculated integrated Risk Priority Number (RPN) and fuzzy number. In “innovative principle generation” stage, the innovative principles are generated by utilizing the TRIZ matrix. Finally, in “innovative solution conceptualization” stage, the TRIZ inventive principles are used to inspire the new solution for new service design. An empirical survey of home-care service agencies in Beijing is conducted to demonstrate the applicability of the proposed 2S2I model to improve home-care services, medical-equipment designs, and service delivery. The advantages, implications, and contributions of 2S2I model are also concluded.</description><subject>Aging</subject><subject>Artificial Intelligence</subject><subject>Computational Intelligence</subject><subject>Customer services</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Design techniques</subject><subject>Designers</subject><subject>Empirical analysis</subject><subject>Engineering</subject><subject>Failure</subject><subject>Failure modes</subject><subject>Fuzzy systems</subject><subject>Industrialized nations</subject><subject>Innovations</subject><subject>Management Science</subject><subject>Medical equipment</subject><subject>Methods</subject><subject>Older people</subject><subject>Operations Research</subject><subject>Principles</subject><subject>Problem solving</subject><subject>Public policy</subject><subject>Structural design</subject><issn>1562-2479</issn><issn>2199-3211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kL1OwzAURi0EEhX0BZgsMQfsa8c_Y1UoBRUYgNly3JsSFJJip6D26UkJEhvTXc75rnQIOePsgjOmL5NkhucZA5YxZiVk6oCMgFubCeD8kIx4riADqe0xGadUFUxwUCJXYkTuJnS22e229ApTtWr6E6pUtQ29b5dY07KN9AG_6Bx93b0GH5E-YfysAtJp2wRcdxtfVzvf9copOSp9nXD8e0_Iy-z6eTrPFo83t9PJIgtCQ5cFrUsoFFdlKLSGUggjpQAmBRpWIFimFBPlknOfow3aa5sraaUxBoxCKU7I-bC7ju3HBlPn3tpNbPqXDqyAngazp2CgQmxTili6dazefdw6ztw-mxuyuT6b-8nmVC-JQUo93Kww_k3_Y30Dk_htwA</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Shie, An-Jin</creator><creator>Lee, Ching-Hung</creator><creator>Yu, Shu-Yan</creator><creator>Wang, Chang</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-4093-556X</orcidid></search><sort><creationdate>20210201</creationdate><title>A Fuzzy Design Decision Model for New Healthcare Service Conceptualization</title><author>Shie, An-Jin ; Lee, Ching-Hung ; Yu, Shu-Yan ; Wang, Chang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-c77f2b616fcb772f3384432043e80be2906603fd11a5e9c7a7956494888286e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aging</topic><topic>Artificial Intelligence</topic><topic>Computational Intelligence</topic><topic>Customer services</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Design techniques</topic><topic>Designers</topic><topic>Empirical analysis</topic><topic>Engineering</topic><topic>Failure</topic><topic>Failure modes</topic><topic>Fuzzy systems</topic><topic>Industrialized nations</topic><topic>Innovations</topic><topic>Management Science</topic><topic>Medical equipment</topic><topic>Methods</topic><topic>Older people</topic><topic>Operations Research</topic><topic>Principles</topic><topic>Problem solving</topic><topic>Public policy</topic><topic>Structural design</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shie, An-Jin</creatorcontrib><creatorcontrib>Lee, Ching-Hung</creatorcontrib><creatorcontrib>Yu, Shu-Yan</creatorcontrib><creatorcontrib>Wang, Chang</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>International journal of fuzzy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shie, An-Jin</au><au>Lee, Ching-Hung</au><au>Yu, Shu-Yan</au><au>Wang, Chang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Fuzzy Design Decision Model for New Healthcare Service Conceptualization</atitle><jtitle>International journal of fuzzy systems</jtitle><stitle>Int. 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Finally, in “innovative solution conceptualization” stage, the TRIZ inventive principles are used to inspire the new solution for new service design. An empirical survey of home-care service agencies in Beijing is conducted to demonstrate the applicability of the proposed 2S2I model to improve home-care services, medical-equipment designs, and service delivery. The advantages, implications, and contributions of 2S2I model are also concluded.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s40815-020-00942-6</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-4093-556X</orcidid></addata></record> |
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| subjects | Aging Artificial Intelligence Computational Intelligence Customer services Decision analysis Decision making Design techniques Designers Empirical analysis Engineering Failure Failure modes Fuzzy systems Industrialized nations Innovations Management Science Medical equipment Methods Older people Operations Research Principles Problem solving Public policy Structural design |
| title | A Fuzzy Design Decision Model for New Healthcare Service Conceptualization |
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