Analysis of The Maturity Level of A Factory in The Electrical-Electronic Segment of the Manaus Industrial Hub: Case Study
Authors: Souza Jocinete Batalha de , Matos Regiane Prata de , Santos Sarah Helena Assis Dos , Santiago Sandro Breval 
Published: February 2025

Objective: The objective of this study is to analyze the 4.0 maturity level of two variables of the “Products and Services” dimension, with the aim of answering the following hypothesis, whether the factory is moving towards implementing Industry 4.0?.

Theoretical Framework: For Rodrigues et al. (2022), Industry 4.0 is in fact the Fourth Industrial Revolution, which encompasses the ongoing digital transformation in industries and machinery, that is, it is directly linked to the automation of manufacturing processes. The implementation of Industry 4.0 requires significant changes in organizational culture and work processes, Góes et al. (2023). It is understood that good management is essential in this process, since the way the company is run directly influences the results, whether positive or negative Góes et al. (2023). On the other hand, Silva, Lucas and Oliveira (2021) highlight Industry 4.0 as a milestone in industrial evolution, where the integration of digital technology with the internet revolutionizes production processes. According to Souza & Gomes (2015), maturity is achieved through the consolidation of general and specific practices related to a set of predefined processes that aim to increase the overall performance of a company or a specific objective. Rozenfeld and collaborators (2006) highlight that maturity can be measured by the amount of best practices consistently applied by the company.

Method: This article is configured in terms of means for bibliographic research and case study developing subsidies for an approach as a qualitative research with descriptive purposes, obtained from the database produced by PIMM 4.0. The methodology adopted applied in this research is qualitative because it requires planning to evaluate the problem, data collection methods and analysis of results.

Results and Discussion: The results obtained revealed that although the company has made significant progress towards modernizing its operations and meeting market demands, it is essential to continue investing in innovation and customization of products and services. The ability to understand and meet customer needs in an agile and efficient manner will be crucial to achieving full Industry 4.0 maturity. In the discussion section, these results are contextualized in light of the theoretical framework, highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section.

Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of Operations Management and Logistics (OLM). These implications may cover the areas of Operations Management, Logistics, Project Management, Information Technology Applied to Logistics, Strategic Management, Procurement and Customer Service.

Originality/Value: This study contributes to the literature by focusing on a strategic segment for the local economy, providing data that can positively impact the management and development of the sector in the hub. This sector is highly dynamic, constantly demanding technological innovations and operational efficiency. A detailed analysis of the maturity level of this segment can provide unprecedented perspectives on how these industries adapt to market demands. The relevance and value of this research are evidenced by the fact that few studies address the topic of organizational maturity in this context, especially in Brazil. In addition, it brings originality by adapting and applying theoretical maturity models (such as CMMI, MMOG/LE, or other frameworks) to a specific industrial environment, considering local and regional variables. The results can pave the way for future studies that expand the analysis to other companies or sectors within the PIM.