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

被引:2
作者
Delice, Elif [1 ]
Tozan, Hakan [2 ]
Karadayi, Melis Almula [2 ]
Harnicarova, Marta [3 ,4 ]
Turan, Basak [5 ]
机构
[1] Istanbul Topkapi Univ, Sch Econ Adm & Social Sci, Dept Management Informat Syst, TR-34087 Istanbul, Turkey
[2] Istanbul Medipol Univ, Sch Engn & Nat Sci, Dept Ind Engn, TR-34810 Istanbul, Turkey
[3] Slovak Univ Agr, Fac Engn, Dept Elect Engn Automat & Informat, Tr A Hlinku 2, Nitra 94976, Slovakia
[4] Inst Technol & Business Ceske Budejovice, Fac Technol, Dept Mech Engn, Okruzni 10, Ceske Budejovice 37001, Czech Republic
[5] Istanbul Medipol Univ, Grad Sch Engn & Nat Sci, TR-34810 Istanbul, Turkey
来源
TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2022年 / 29卷 / 06期
关键词
best worst method; EDAS; health technology selection; multi-criteria decision making; non-traditional machining; DECISION-MAKING; BONE; TISSUE;
D O I
10.17559/TV-20220503130337
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:2137 / 2146
页数:10
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