Comparison an‎d selec‎tion of the best additive manufacturing method for medical applications using the fuzzy VIKOR method

10/27/2026 12:00:00 AM

Recent advancements in additive manufacturing (AM) technologies have created vast opportunities for producing high-precision, customized medical components within shorter lead times. However, selec‎ting the most appropriate AM technique for medical applications among methods such as Material Extrusion Modeling, Stereolithography (SLA), an‎d Direct Metal Laser Sintering (DMLS) is a complex decision-making problem due to the multiplicity an‎d conflict of eva‎luation criteria. This research aims to develop a systematic framework for the optimal selec‎tion of additive manufacturing methods in medical applications. To this end, the Fuzzy Analytic Hierarchy Process (FAHP) was applied to determine the relative importance of key criteria including dimensional accuracy, mechanical strength, process speed, production cost, biocompatibility, an‎d material waste. Subsequently, the Fuzzy VIKOR an‎d TOPSIS methods were employed to rank alternative AM techniques based on these criteria. The results indicate that the both Laser Sintering processes represent the most suitable option for manufacturing medical parts under the defined conditions. The proposed multi-criteria decision-making model provides a practical guideline for researchers an‎d practitioners to selec‎t appropriate additive manufacturing technologies tailored to medical needs, thereby enhancing efficiency, reducing costs, an‎d improving overall product quality

توليد افزايشي , كاربردهاي پزشكي , تصميم‌گيري چندمعياره , تحليل سلسله‌مراتبي فازي , ويكور فازي , تاپسيس فازي , انتخاب روش توليد

Additive Manufacturing (AM) , Medical Applications , Multi-Criteria Decision-Making (MCDM) , Fuzzy Analytic Hierarchy Process (FAHP) , Fuzzy VIKOR , Fuzzy TOPSIS , Process selec‎tion.

morteza nazari sis

Dr mohamad reza mohamad aliha