Multicriteria Analysis in Additive Manufacturing: An ELECTRE-MOr Based Approach

Abstract

3D printing technologies define the essence of Additive Manufacturing and make possible the agile production of customized parts from different materials, with lower unit cost and waste generation. Currently, one of the most widespread 3D printer technologies is the Fused Deposition Modeling (FDM) type, which is the object of this paper. The choice of 3D printing equipment depends on the alignment of the purpose of use and technical knowledge to consider certain requirements. Therefore, this choice can be time-consuming and/or imprecise. In this sense, this work aimed to classify FDM-type 3D printer models by applying the ELECTRE-MOr method, a Multi-criteria Decision Aiding (MCDA) method. As a result, based on a categorization between classes, the FABER 10 alternative was the only one that presented class A performance in all evaluated scenarios, based on criteria defined by the experts consulted in this study.

Study for Decentralization of Naval Power in the Brazilian Navy: Structuring and Mathematical Modeling in the Light of the Electre-Mor Method

“…As recent and relevant applications of the ELECTRE-MOr method, one can cite: classification of the OECD Countries (Pereira et al, 2022); classifying flying hospitals and vaccines (De Paula et al, 2022) against COVID-19; additive manufacturing (Drumond et al, 2021); course portfolio management (Costa et al, 2022b); Risk analysis related to the corrosion of atmospheric storage tanks ; algorithm for personnel selection (Costa et al, 2022c).…”

Feasibility of a Hospital Information System for a Military Public Organization in the Light of the Multi-Criteria Analysis

“…As explored in [ 40 ], the decision-making process is the main essence of management and can be understood as a set of steps that make up the whole process to be carried out [ 41 ]. The MCDA methods, concerning the context of decision-making processes, seek to enable the decision-making process to be as neutral, objective and transparent as possible, enabling the analyst to better understand the structure under evaluation and obtain a reasonable and favorable solution [ 40 ].…”