Selection of additive manufacturing technologies in productive systems: a decision support model

Douglas Rhoden Calderaro,Douglas Rafael Veit,Daniel Pacheco Lacerda

doi:10.1590/0104-530x5363-20

Douglas Rhoden Calderaro, Douglas Rafael Veit + Show 1 more

Open Access

https://doi.org/10.1590/0104-530x5363-20

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Journal: Gestão & Produção	Publication Date: Jan 1, 2020
Citations: 13	License type: CC BY 4.0

Affiliation: Universidade do Vale do Rio dos Sinos

Abstract

Abstract: Additive Manufacturing (AM) has seen continued growth in adoption by organizations in recent years, changing production processes, supply chain, maintenance, product development and the global economy. There are several Additive Manufacturing technologies and equipment on the market, however, there are no guidelines, benchmarking or decision support tools for proper selection. After a systematic review of the literature, the lack of propositions that act during the development of the product and process was evidenced. This research focuses on the selection of Additive Manufacturing technologies for a production system. The general objective being to propose a decision support model based on the characteristics of additive technologies and competitive criteria, resulting in a choice aligned with the guidelines of organizations and their production systems. For the operationalization of the model, the AHP techniques and conjoint analysis were used together, where the characteristics of the Additive Manufacturing technologies were related to the competitive criteria for the model to indicate the recommended technology to the production system or organization in question. Finally, the artifact recommended the right technology in three distinct situations, from a vendor, user, and expert point of view. Thus, this research contributes to both academia and business by developing a functional artifact of additive manufacturing technology selection. Also, by contributing to the increased availability of information on the nine most commonly used additive technologies in industry.

Highlights

Additive Manufacturing can change aspects of production, supply chain, maintenance, product development and global economy, in addition, there has been a growing interest on the part of the companies regarding the increase of efficiency and productivity (Ben-Ner & Siemsen, 2017; Ernst & Young GmbH, 2016; Pacheco et al, 2014; Piran et al, 2017)
This is due to the high degree of efficiency, accuracy and functionality offered by Additive Manufacturing (AM) technologies, allowing to manufacture complex parts, which were previously not possible in traditional production systems supported by subtractive technologies. (Cochet, 2016; Gokuldoss et al, 2017)
The results will be presented in three different aspects: the first will be relative to the decision-maker's point of view, the second of the supplier and, the specialist

Summary

Introduction

Tecnologias de Manufatura Aditiva para um sistema produtivo. The use of Additive Manufacturing by organizations is growing and one of the reasons is that companies that adopt AM technologies are getting an increase in their return on investment (Sculpteo, 2017). This is due to the high degree of efficiency, accuracy and functionality offered by AM technologies, allowing to manufacture complex parts, which were previously not possible in traditional production systems supported by subtractive technologies. Additive Manufacturing technologies have divergent aspects, which aligned to the lack of benchmarking standards and the lack of experience by the organizations makes selecting AM technology complex (Park & Tran, 2017)

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Conclusion