An Integrated Framework for Non-Traditional Machining Process Technology Selection in Healthcare Applications

In spite of continuous progress in technical advancement, the conventional machining process became unsatisfactory in the healthcare field due to its disadvantages. This inadequacy lead researchers to consider using the application of nontraditional machining that can machine extremely hard and brittle materials into complicated shapes such as medical devices and implants in healthcare. In this study, the three most popular nontraditional machining process technologies: Laser Beam Machining, Water Jet Machining, and Electrocautery are evaluated to determine the most appropriate technology using the Health Technology Assessment based Multicriteria Decision-Making framework. HTA is organized evaluation of effects and properties of health technology that enables the application of systematic skills to solve a health problem. HTA's main goal is to raise awareness of new health technologies among decision makers. For these reasons, the HTA core model that enables the production of HTA-related information was utilized.The comparison of selected technologies was carried out via integrating the HTA core model, Best Worst, and Evaluation Based on Distance from Average Solution methods. Finally, a comparison was made to find the most suitable technology to create the necessary infrastructure. As a result, evaluation scores were computed as 0,673; 0,538 and 0,500 for WJM, LBM, and EC, respectively.

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19 Eylül 2024 04:05
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Eser Adı
(dc.title)
An Integrated Framework for Non-Traditional Machining Process Technology Selection in Healthcare Applications
Yazar
(dc.contributor.author)
Elif Delice
Yayın Yılı
(dc.date.issued)
2022
Tür
(dc.type)
Makale
Özet
(dc.description.abstract)
In spite of continuous progress in technical advancement, the conventional machining process became unsatisfactory in the healthcare field due to its disadvantages. This inadequacy lead researchers to consider using the application of nontraditional machining that can machine extremely hard and brittle materials into complicated shapes such as medical devices and implants in healthcare. In this study, the three most popular nontraditional machining process technologies: Laser Beam Machining, Water Jet Machining, and Electrocautery are evaluated to determine the most appropriate technology using the Health Technology Assessment based Multicriteria Decision-Making framework. HTA is organized evaluation of effects and properties of health technology that enables the application of systematic skills to solve a health problem. HTA's main goal is to raise awareness of new health technologies among decision makers. For these reasons, the HTA core model that enables the production of HTA-related information was utilized.The comparison of selected technologies was carried out via integrating the HTA core model, Best Worst, and Evaluation Based on Distance from Average Solution methods. Finally, a comparison was made to find the most suitable technology to create the necessary infrastructure. As a result, evaluation scores were computed as 0,673; 0,538 and 0,500 for WJM, LBM, and EC, respectively.
Açık Erişim Tarihi
(dc.date.available)
2022-11-25
Yayıncı
(dc.publisher)
TECHNICAL GAZETTE
Dil
(dc.language.iso)
En
Konu Başlıkları
(dc.subject)
best worst method
Konu Başlıkları
(dc.subject)
EDAS
Konu Başlıkları
(dc.subject)
health technology selection
Konu Başlıkları
(dc.subject)
multi-criteria decision making
Konu Başlıkları
(dc.subject)
non-traditional machining
Tek Biçim Adres
(dc.identifier.uri)
https://hdl.handle.net/20.500.14081/1640
ISSN
(dc.identifier.issn)
1330-3651
Dergi
(dc.relation.journal)
TEHNICKI VJESNIK-TECHNICAL GAZETTE
Dergi Sayısı
(dc.identifier.issue)
6
Esere Katkı Sağlayan
(dc.contributor.other)
Delice, Elif
Esere Katkı Sağlayan
(dc.contributor.other)
Tozan, Hakan
Esere Katkı Sağlayan
(dc.contributor.other)
Karadayi, Melis Almula
Esere Katkı Sağlayan
(dc.contributor.other)
Harnicarova, Marta
Esere Katkı Sağlayan
(dc.contributor.other)
Turan, Basak
DOI
(dc.identifier.doi)
10.17559/TV-20220503130337
Orcid
(dc.identifier.orcid)
0000-0002-0238-623X
Bitiş Sayfası
(dc.identifier.endpage)
2146
Başlangıç Sayfası
(dc.identifier.startpage)
2137
Dergi Cilt
(dc.identifier.volume)
29
wosquality
(dc.identifier.wosquality)
Q4
wosauthorid
(dc.contributor.wosauthorid)
CLU-3694-2022
Department
(dc.contributor.department)
Yönetim Bilişim Sistemleri (İngilizce)
Wos No
(dc.identifier.wos)
WOS:000884079900015
Veritabanları
(dc.source.platform)
Wos
Veritabanları
(dc.source.platform)
Scopus
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