Evaluating the Applicability of Probabilistic Methods for Material Selection

Material selection is a crucial issue that determines both the economic and technical aspects of a product, as well as the manufacturer’s brand. This process is complex, as it requires the consideration of multiple criteria for each type of material. In this study, probabilistic methods are used for material selection. To assess the effectiveness of applying probabilistic methods in material selection, this research was conducted with three different cases involving the selection of materials for crankshaft manufacturing, cutting-tool manufacturing, and materials used in powder-mixed electrical discharge machining (PMEDM). The results of material selection using probabilistic methods were compared with those obtained using other methods, demonstrating that probabilistic methods fully ensure accuracy in the surveyed cases.