DELICE, Elif, Hakan TOZAN, Melis Almula KARADAYI, Marta HARNIČÁROVÁ and Başak TURAN. An Integrated Framework for Non-Traditional Machining Process Technology Selection in Healthcare Applications. TEHNICKI VJESNIK-TECHNICKÝ VĚSTNÍK. Slavonski Brod, Chorvatsko: Strojarski Facultet, Sveuciliste Josipa Jurja Strossmayera u Osijeki, vol. 29, No 6, p. 2137-2146. ISSN 1330-3651. 2022.
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Basic information
Original name An Integrated Framework for Non-Traditional Machining Process Technology Selection in Healthcare Applications
Authors DELICE, Elif (guarantor), Hakan TOZAN, Melis Almula KARADAYI, Marta HARNIČÁROVÁ (203 Czech Republic, belonging to the institution) and Başak TURAN.
Edition TEHNICKI VJESNIK-TECHNICKÝ VĚSTNÍK, Slavonski Brod, Chorvatsko, Strojarski Facultet, Sveuciliste Josipa Jurja Strossmayera u Osijeki, 2022, 1330-3651.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 20501 Materials engineering
Country of publisher Croatia
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/22:00002450
Organization unit Institute of Technology and Business in České Budějovice
UT WoS 000884079900015
Keywords in English best worst method; EDAS; health technology selection; multi-criteria decision making; non-traditional machining
Tags KSTR5, RIV22, SCOPUS
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 22/3/2023 20:20.
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 Multi -criteria 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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