| dc.description.abstract | Additive Manufacturing (AM) has been showing steady growth in adoption by organizations in recent years, changing production processes, supply chain, maintenance, product development, and the global economy. There are several AM technologies and equipment in the market, however, there are no guidelines, benchmarking or decision support tools for proper selection. This research presents a model to support decision making for the selection of AM technologies in productive systems. Where, the characteristics of the AM technologies are related to the competitive criteria, so that the selection of AM technologies is aligned with the objectives of the productive systems. For this, the analytic hierarchy process (AHP) method was used to perform the matched analysis of the technologies in relation to the competitive criteria and the conjoint analysis to obtain the utilities through the identification of the preferences of the respondents through the ordering of the cards. In addition to the database, composed of information obtained in the literature and in the technical catalogs of the AM equipment manufacturers. The artifact was evaluated in three different situations. Thus, this research contributes both to the academic and business environments, as it develops a functional artifact of selection of Additive Manufacturing technology. It also contributes to increasing the availability of information on the nine additive technologies most commonly used in industry. | en |
