Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach

Product design has become a critical process for the healthcare technology industry, given the ever-changing demands, vague customer requirements, and interrelations among design criteria. This paper proposed a novel integration of fuzzy Kano, Analytic Hierarchy Process (AHP), Decision Making Trial...

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Autores:
Neira-Rodado, Dionicio
Ortiz Barrios, Miguel Angel
De la Hoz-Escorcia, Sandra
Paggetti, Cristiano
Noffrini, Laura
Fratea, Nicola
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/6177
Acceso en línea:
https://hdl.handle.net/11323/6177
https://repositorio.cuc.edu.co/
Palabra clave:
Product design
Fuzzy Kano
AHP
DEMATEL
Healthcare technology industry
Smart manufacturing
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_3a9df347907763da40d05a612d37faae
oai_identifier_str oai:repositorio.cuc.edu.co:11323/6177
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach
title Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach
spellingShingle Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach
Product design
Fuzzy Kano
AHP
DEMATEL
Healthcare technology industry
Smart manufacturing
title_short Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach
title_full Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach
title_fullStr Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach
title_full_unstemmed Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach
title_sort Smart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approach
dc.creator.fl_str_mv Neira-Rodado, Dionicio
Ortiz Barrios, Miguel Angel
De la Hoz-Escorcia, Sandra
Paggetti, Cristiano
Noffrini, Laura
Fratea, Nicola
dc.contributor.author.spa.fl_str_mv Neira-Rodado, Dionicio
Ortiz Barrios, Miguel Angel
De la Hoz-Escorcia, Sandra
Paggetti, Cristiano
Noffrini, Laura
Fratea, Nicola
dc.subject.spa.fl_str_mv Product design
Fuzzy Kano
AHP
DEMATEL
Healthcare technology industry
Smart manufacturing
topic Product design
Fuzzy Kano
AHP
DEMATEL
Healthcare technology industry
Smart manufacturing
description Product design has become a critical process for the healthcare technology industry, given the ever-changing demands, vague customer requirements, and interrelations among design criteria. This paper proposed a novel integration of fuzzy Kano, Analytic Hierarchy Process (AHP), Decision Making Trial and Evaluation Laboratory (DEMATEL), and Quality Function Deployment (QFD) to translate customer needs into product characteristics and prioritize design alternatives considering interdependence and vagueness. First, the customer requirements were established. Second, the fuzzy KANO was applied to calculate the impact of each requirement, often vague, on customer satisfaction. Third,designalternativesweredefined,whiletherequirements’weightswerecalculated usingAHP.DEMATELwaslaterimplementedforevaluatingtheinterdependenceamongalternatives. Finally,QFDwasemployedtoselectthebestdesign. Ahipreplacementsurgeryaiddeviceforelderly people was used for validation. In this case, collateral issues were the most important requirement, while code change was the best-ranked design.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-04-13T15:12:42Z
dc.date.available.none.fl_str_mv 2020-04-13T15:12:42Z
dc.date.issued.none.fl_str_mv 2020-03-05
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.identifier.issn.spa.fl_str_mv 1454-5101
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/6177
dc.identifier.doi.spa.fl_str_mv doi:10.3390/app10051792
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 1454-5101
doi:10.3390/app10051792
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/6177
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
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4. Duplantier, N.L.; McCulloch, P.C.; Nho, S.J.; Mather, R.C.; Lewis, B.D.; Harris, J.D. Hip Dislocation or Subluxation After Hip Arthroscopy: A Systematic Review. Arthrosc. J. Arthrosc. Relat. Surg. 2016, 32, 1428–1434. [CrossRef] [PubMed]
5. Grosso, P.; Snider, M.; Muir, J.M. A Smart Tool for Intraoperative Leg Length Targeting in Total Hip Arthroplasty: A Retrospective Cohort Study. Open Orthop. J. 2016, 10, 490–499. [CrossRef]
6. Martin, J.L.; Norris, B.J.; Murphy, E.; Crowe, J.A. Medical device development: The challenge for ergonomics. Appl. Ergon. 2008, 39, 271–283. [CrossRef]
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8. Sharples, S.; Martin, J.; Lang, A.; Craven, M.; O’Neill, S.; Barnett, J. Medical device design in context: A model of user-device interaction and consequences. Displays 2012, 33, 221–232. [CrossRef]
9. Hagedorn, T.J.; Krishnamurty, S.; Grosse, I.R. An information model to support user-centered design of medical devices. J. Biomed. Inf. 2016, 62, 181–194. [CrossRef]
10. Willemsen, K.; Nizak, R.; Noordmans, H.J.; Castelein, R.M.; Weinans, H.; Kruyt, M.C. Challenges in the design and regulatory approval of 3D-printed surgical implants: A two-case series. Lancet Digit. Heal. 2019, 1, e163–e171. [CrossRef]
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30. Li, Y.; Tang, J.; Luo, X.; Xu, J. An integrated method of rough set, Kano’s model and AHP for rating customer requirements’ final importance. Expert Syst. Appl. 2009, 36, 7045–7053. [CrossRef]
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33. Tontini, G.; Tontini, G.R. Integrating the Kano Model and QFD for Designing New Products Integrating the Kano Model and QFD for Designing New Products. Total Qual. Manag. 2007, 18, 599–612. [CrossRef]
34. Materla, T.; Cudney, E.A.; Antony, J. The application of Kano model in the healthcare industry: A systematic literature review. Total Qual. Manag. Bus. Excell. 2019, 30, 660–681. [CrossRef]
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spelling Neira-Rodado, DionicioOrtiz Barrios, Miguel AngelDe la Hoz-Escorcia, SandraPaggetti, CristianoNoffrini, LauraFratea, Nicola2020-04-13T15:12:42Z2020-04-13T15:12:42Z2020-03-051454-5101https://hdl.handle.net/11323/6177doi:10.3390/app10051792Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Product design has become a critical process for the healthcare technology industry, given the ever-changing demands, vague customer requirements, and interrelations among design criteria. This paper proposed a novel integration of fuzzy Kano, Analytic Hierarchy Process (AHP), Decision Making Trial and Evaluation Laboratory (DEMATEL), and Quality Function Deployment (QFD) to translate customer needs into product characteristics and prioritize design alternatives considering interdependence and vagueness. First, the customer requirements were established. Second, the fuzzy KANO was applied to calculate the impact of each requirement, often vague, on customer satisfaction. Third,designalternativesweredefined,whiletherequirements’weightswerecalculated usingAHP.DEMATELwaslaterimplementedforevaluatingtheinterdependenceamongalternatives. Finally,QFDwasemployedtoselectthebestdesign. Ahipreplacementsurgeryaiddeviceforelderly people was used for validation. In this case, collateral issues were the most important requirement, while code change was the best-ranked design.Neira-Rodado, DionicioOrtiz Barrios, Miguel Angel-will be generated-orcid-0000-0001-6890-7547-600De la Hoz-Escorcia, SandraPaggetti, CristianoNoffrini, LauraFratea, NicolaengApplied SciencesCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Product designFuzzy KanoAHPDEMATELHealthcare technology industrySmart manufacturingSmart product design process through the implementation of a fuzzy kano-AHP-DEMATEL-QFD approachArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Pabinger, C.; Geissler, A. Utilization rates of hip arthroplasty in OECD countries. Osteoarthr. Cart. 2014, 22, 734–741. [CrossRef] [PubMed]2. Fiorenttino, A.; Zarattini, G.; Pazzaglia, U.; Ceretti, E. Hip Prosthesis Design. Market Analysis, New Perspectives and an Innovative Solution. Procedia Cirp 2013, 5, 310–314. [CrossRef]3. Wolf, A.; Digioia, A.M.; Mor, A.B.; Jaramaz, B. Cup alignment error model for total hip arthroplasty. Clin. Orthop. Relat. Res. 2005, 437, 132–137. [CrossRef] [PubMed]4. Duplantier, N.L.; McCulloch, P.C.; Nho, S.J.; Mather, R.C.; Lewis, B.D.; Harris, J.D. Hip Dislocation or Subluxation After Hip Arthroscopy: A Systematic Review. Arthrosc. J. Arthrosc. Relat. Surg. 2016, 32, 1428–1434. [CrossRef] [PubMed]5. Grosso, P.; Snider, M.; Muir, J.M. A Smart Tool for Intraoperative Leg Length Targeting in Total Hip Arthroplasty: A Retrospective Cohort Study. Open Orthop. J. 2016, 10, 490–499. [CrossRef]6. Martin, J.L.; Norris, B.J.; Murphy, E.; Crowe, J.A. Medical device development: The challenge for ergonomics. Appl. Ergon. 2008, 39, 271–283. [CrossRef]7. Mihoc, A.; Walters, A.; Eggbeer, D.; Gill, S. Barriers to user-centred design in the development of bespoke medical devices: A manufacturers’ view. In Proceedings of the 13th Conference on Rapid Design, Prototyping & Manufacturing, Lancaster, UK, 22 June 2012.8. Sharples, S.; Martin, J.; Lang, A.; Craven, M.; O’Neill, S.; Barnett, J. Medical device design in context: A model of user-device interaction and consequences. Displays 2012, 33, 221–232. [CrossRef]9. Hagedorn, T.J.; Krishnamurty, S.; Grosse, I.R. An information model to support user-centered design of medical devices. J. Biomed. Inf. 2016, 62, 181–194. [CrossRef]10. Willemsen, K.; Nizak, R.; Noordmans, H.J.; Castelein, R.M.; Weinans, H.; Kruyt, M.C. Challenges in the design and regulatory approval of 3D-printed surgical implants: A two-case series. Lancet Digit. Heal. 2019, 1, e163–e171. [CrossRef]11. Madzík, P. Increasing accuracy of the Kano model—a case study. Total Qual. Manag. Bus. Excell. 2016, 29, 387–409. [CrossRef]12. Wolniak, R. 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