Alakas, Haci MehmetYazici, EmreEbiri, UfukcanKizilay, Berat AlperenOruc, Onur2025-01-212025-01-2120241955-25131955-2505https://doi.org/10.1007/s12008-023-01489-0https://hdl.handle.net/20.500.12587/25433Today, innovations are emerging in every field that comes with the constantly developing technology. 3D printers, among the developing technologies and making essential contributions, are significant in fields such as industry and health. 3D printers are used in many areas and provide various benefits, especially flexibility in production. 3D printers provide flexibility in producing products using multiple technologies according to the effect produced. However, differentiating the methods and alternatives creates an alternative selection problem for decision-makers. In this study, which is examined in this context, 3D printer technologies used in prosthesis production will be discussed. The study aims to find the most suitable prosthetic construction technology by comparing the 3D printer technologies used in prosthesis production to minimize the machine cost for prosthesis, eliminate mold production for personal prosthesis production, reduce production time, and customize. Five criteria were determined in selecting the 3D printer technology used in prosthesis production, and ten alternative technologies were listed according to the criteria. The criterion weights are calculated using the Analytical Hierarchy Process, a Multi-Criteria Decision-Making method-alternatives ranked by TOPSIS and PROMETHEE. The most suitable alternative was selected for prosthesis production. A decision-making procedure is proposed for decision-makers. The study demonstrates its originality by presenting analysis with multi-criteria decision-making methods to evaluate alternative 3D printers for prosthesis production.eninfo:eu-repo/semantics/closedAccess3D printer technologies; Prosthesis; Analytic hierarchy process; TOPSIS; PROMETHEE; Multi-criteria decision-makingSelection of 3D printing technologies for prosthesis production with multi-criteria decision making methodsArticle18291192710.1007/s12008-023-01489-02-s2.0-85169152035Q2WOS:001060043900001Q3