Navigating the new normal: Redefining N95 respirator design with an integrated text mining and quality function deployment-based optimization model

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dc.authoridDelen, Dursun/0000-0001-8857-5148
dc.authoridRabiee, Meysam/0000-0001-9602-5912
dc.authorwosidDelen, Dursun/O-6938-2015
dc.contributor.authorGangadhari, Rajan Kumar
dc.contributor.authorTarei, Pradeep Kumar
dc.contributor.authorChand, Pushpendu
dc.contributor.authorRabiee, Meysam
dc.contributor.authorDelen, Dursun
dc.date.accessioned2024-05-19T14:40:26Z
dc.date.available2024-05-19T14:40:26Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe global surge in demand during the pandemic led to a proliferation of substandard surgical N95 respirators, particularly in the e-commerce market, due to a lack of regulatory standards. In the post-pandemic era, the essential role of these respirators in protecting against airborne hazards and infectious agents persists. Addressing the need for standardized design and manufacturing processes, this research proposes a three-phased integrated decision-making framework. Firstly, text-mining algorithms analyze online consumer reviews to identify critical characteristics of surgical N95 respirators. Subsequently, a spherical-fuzzy-based quality function deployment assesses manufacturing capabilities in alignment with consumer requirements. The final phase utilizes Mixed Integer Non-linear Programming to optimize utility and select the most effective design, considering both technical specifications and consumer needs. The proposed framework is validated through a case study, revealing technical characteristics crucial for organizations in product development. The findings not only offer insights into the technical aspects of N95 respirators but also recommend essential product characteristic tests during manufacturing and certification. This information is vital for educating consumers and guiding companies in the effective use and development of Surgical N95 respirators in the post-pandemic landscape, addressing the challenges posed by inferior and counterfeit products.en_US
dc.identifier.doi10.1016/j.cie.2024.109962
dc.identifier.issn0360-8352
dc.identifier.issn1879-0550
dc.identifier.scopus2-s2.0-85186117242en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.cie.2024.109962
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4960
dc.identifier.volume189en_US
dc.identifier.wosWOS:001202121400001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers & Industrial Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectConsumer Reviewsen_US
dc.subjectNatural Language Processing (Nlp)en_US
dc.subjectHuman -In -The -Loopen_US
dc.subjectQuality Function Deployment (Qfd)en_US
dc.subjectSurgical N95 Respiratorsen_US
dc.subjectProduct Designen_US
dc.titleNavigating the new normal: Redefining N95 respirator design with an integrated text mining and quality function deployment-based optimization modelen_US
dc.typeArticleen_US

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