Fuzzy Analytic Hierarchy Process (AHP)-based Criteria Analysis for 3D Printer Selection in Additive Manufacturing

Abstract

Additive Manufacturing (AM) or 3 Dimensional Printing (3DP) has globally gained popularity from using digital technology in various applications. However, process planning for 3DP is challenged by different materials, technologies, and printer sizes, which impact efficient and effective use of 3DP. In this study, we evaluate the factors/criteria that are related to selecting the best alternative of 3D printers by analyzing two types of decision makers, which are 1) 3DP technical experts and 2) 3DP users. Next, we employ Fuzzy Analytic Hierarchy Process (Fuzzy AHP) to analyze criteria weights for 3D printer selection-related factors. In particular, factors concerning 3D printed product, 3D printer characteristics, and material properties are considered in this evaluation with a number of associated sub-factors. The initial results show that the most essential factor for both types of decision makers is product factor, followed by material, and printer, respectively. Group decision analysis shows relative weights to be 0.534 (53.4 %) for product factor, 0.301 (30.1 %) for material factor, and 0.175 (17.5%) for printer factor, respectively.