Review article

https://doi.org/10.17559/TV-20220503130337

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

Elif Delice ; Istanbul Topkapı University, School of Economics, Administrative and Social Sciences, Department of Management Information Systems, 34087, Istanbul, Turkey
Hakan Tozan ; Istanbul Medipol University, School of Engineering and Natural Sciences, Department of Industrial Engineering, 34810, Istanbul, Turkey
Melis Almula Karadayi ; Istanbul Medipol University, School of Engineering and Natural Sciences, Department of Industrial Engineering, 34810, Istanbul, Turkey
Marta Harnicarova ; 1) Department of Electrical Engineering, Automation and Informatics, Faculty of Engineering, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia E-mail: marta.harnicarova@uniag.sk 2) Institute of Technology and Business in České Budějovice, Faculty of Technology, Department of Mechanical Engineering, Okružní 10, 370 01 České Budějovice, Czech Republic
Başak Turan ; Istanbul Medipol University, Graduate School of Engineering and Natural Sciences, 34810, Istanbul, Turkey

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.

Keywords

best worst method; EDAS; health technology selection; multi-criteria decision making; non-traditional machining

Hrčak ID:

284934

URI

https://hrcak.srce.hr/284934

Publication date:

29.10.2022.

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