Developing an OEE Dashboard with Power BI for Smart Factory Implementation in the Nylon Filament Industry

Abstract

This research aims to develop a dashboard for presenting Overall Equipment Effectiveness (OEE) data in the production of nylon filament. The objective is to address delays in data collection and analysis, as well as to improve data visualization for better understanding. Power BI is used to create the dashboard for OEE calculation and machine performance analysis while real-time data storage is managed through the I-Reporter application. This system reduces paper usage by transitioning to digital processes, supporting the Smart Factory concept. The research process includes analyzing the current data system, designing a data collection system using the I-Reporter application, developing a real-time database, creating an OEE dashboard, and testing system performance. Findings indicate that the system reduces the OEE calculation time from two days to 60 minutes, supports the factory’s efficiency goals, and can be applied to other production processes. In addition to reducing direct labor costs by 17,750 THB per year and minimizing paper usage, the system helps prevent avoidable quality-related losses by enabling faster responses to deviations in production. The total estimated opportunity saving is approximately 226,322 THB per year.