Digital and Smart Production Using Simulation Systems to Improve the Manufacturing Performance
Keywords:
Discrete-Event Simulation, Digital Twin, Industry 4.0, Process Improvement
Abstract
The article aims to present a case study of an electronics company with a focus on automotive products, using actual production data in which computer simulation was used to analyze the efficiency and process improvement, paying attention to the indicators and reduction of labor in the process using an intelligent system for inspection of the plates. A computational tool for discrete events is used to explore the system's functionalities, aiming to provide a more comprehensive view of the manual insertion process since the software has several performance analysis tools. The method was developed through "in loco" data collection, in similar cases studied in the literature, and in learning the computational tool, thus creating a virtual environment that allowed simulation of different strategies to achieve the desired result verifying. There is excellent potential for improvement with the proposed scenario. Finally, the results obtained with the simulation proved that its use emerges as a powerful tool for evaluating the rationalization of resources and the application of digital twins, predicting a new assembly line efficiency from 76,16% to 97,24% of improvement, making clear the advantages and characteristics of using computer simulation as a competitive tool for quick decision-making in the manufacturing process.
Published
2023-10-18
Section
Articles