Otomatisasi Perhitungan OEE pada Mesin Filling ILAPAK 50g Menggunakan PLC dan HMI

Dhendy Zaki Ridwan; Helmy Mukti Himawan; Aditya Kurniawan

doi:10.33795/elposys.v11i3.6103

Authors

Dhendy Zaki Ridwan Akademi Teknik Alat Berat Indonesia
Helmy Mukti Himawan Akademi Teknik Alat Berat Indonesia
Aditya Kurniawan Akademi Teknik Alat Berat Indonesia

DOI:

https://doi.org/10.33795/elposys.v11i3.6103

Keywords:

Overall Equipment Effectiveness, Machine, Automation, Programmable Logic Controller, HMI, Proximity

Abstract

This study addressed the limitations in calculating Overall Equipment Effectiveness (OEE) manually, which frequently led to inaccuracies and inefficiencies in industrial processes. The purpose of this research was to design an automated OEE calculation system for the ILAPAK 50g filling machine to improve data accuracy and reduce dependency on manual input. A Design Science Research (DSR) methodology was employed, involving stages of system analysis, design, implementation, and evaluation. The system utilized key components, including an Omron CP2E PLC, proximity sensors, relays, and a Human-Machine Interface (HMI) for real-time data acquisition. The findings indicated that the automated system significantly improved data accuracy, achieving reliable, continuous OEE calculations across different machine shifts. The system successfully replaced manual logbook methods, reducing human estimation errors, and displayed OEE data locally on the HMI, making it accessible for operational decisions. Furthermore, the implemented automation reduced overall downtime, enhanced machine availability, and minimized errors associated with manual record-keeping. This research has practical implications for industries aiming to optimize production efficiency. The automated OEE system demonstrated potential for scalability to other machines in manufacturing settings, highlighting its adaptability and utility in modern industrial environments. Future research could explore integration with cloud-based databases to enhance data storage and accessibility, providing a foundation for advanced predictive maintenance and performance monitoring across multiple machines.

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