Análise de dados como vetor de melhoria contínua na indústria 4.0: estratégias e aplicações de business intelligence em uma indústria de cacau

Abstract

This study explores the application of Business Intelligence (BI) as an essential tool for continuous improvement within the context of Industry 4.0, with a particular focus on the food sector. Using a simulated case study, this project demonstrates how dashboards can be utilized to monitor and manage the quality of the production environment, standing out as fundamental components in the implementation of advanced data analysis strategies. The developed dashboard provides a comprehensive view of critical quality indicators, enabling the rapid identification of patterns and data-driven decision-making. By integrating various measures and visualizations, the project analyzes the frequency and distribution of occurrences, evaluates the effectiveness of interventions, and optimizes cleaning and production processes. This study highlights the relevance of data analysis not only for compliance with sanitary standards but also as a driver of innovation and operational efficiency, which are pillars of Industry 4.0. The application of this project was conceived for production processes in the city of Ilhéus, Bahia, at a cocoa powder company using simulated data.