Supply chain network design: a case study of the regional facilities analysis for a 3D printing company

Abstract

3D printing supply chain network. The objective is to analyze regional facility configurations in order to lower investment risks for an organization that aims to provide additive manufacturing The growing 3D printing market can be an attraction for investment in new businesses, which may entail strategic planning for new ventures. This paper presents a case study of designing a services for orthopedic and dental prostheses production. To this end, the competitive environment, the aggregating factor and logistic costs, tariffs and tax incentives, regional demand, political factors, the value of currency, and the demand uncertainty are analyzed. The results indicate that the adopted framework for network design decisions effectively allows the analysis of regional facility configuration. It also suggests that there are no hindering factors to the implementation of a 3D printing service company. In the region studied, there are fiscal incentives of more than 60% for taxes on the movement of goods between municipalities, which can be an advantage when locating facilities outside the capital. Competitors are well qualified, but there is room for new companies focused on quality and price, which may be a case for specialized products such as protheses. The estimated demand ranges from 146 to 509 units per month, which may be an opportunity for a new entrant given the few additive manufacturing ventures identified in the region.

A study on the barriers that impact the adoption of Industry 4.0 in the context of Brazilian companies

“…In the early stages of the technology adoption process, it is often cumbersome to combine certain process configurations. Therefore, for a company to be considered to be in the process of adoption, it must have implemented and experimented with the Technologies and created incentive systems that guarantee the continuation of these The adoption of Industry 4.0 tools (Cordeiro et al, 2023;Carvalho de S a et al, 2022;Genest and Gamache, 2020). Dalenogare et al (2018) corroborate these statements by formulating the factors that affect the adoption and diffusion of an innovation.…”

“…I4.0 adoption improves operational performance as well as supply chain competence (Chauhan et al, 2021;Cugno et al, 2021;Fernandes et al, 2021). The adoption of technologies allows companies to improve their production capabilities and operations management to compete globally (Cordeiro et al, 2023;Carvalho de S a et al, 2022;Elhusseiny and Crispim, 2022;Fernandes et al, 2017).…”

The “V” model for decision analysis of additive manufacturing implementation

“…Using three dimensions: technology, organizational and environment, Ukobitz (2021) considers 35 criteria to analyze the decision to implement AM, and Carvalho de Sá et al. (2022) propose a model for network design decisions, analyzing the implementation of AM in a dental and orthopedic company, but the focus is on reducing investment risks, and the approach was to analyze logistical costs, the competitive external environment, taxes and tariffs, uncertainty demand and other external factors.…”

The applicability of advanced technologies from the traditional industry to mitigate ergonomic problems in maintenance activities in the mining industry

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