JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Vol 6 No 1 (2024): Oktober 2024

Real-Time Integration of PLC and ERP Odoo for Enhanced Production Monitoring Using OEE in a Bottle Sorting Plant

Asnawi, Mashudi (Unknown)
Agustina, Tri Siwi (Unknown)
Mustajib, Muhammad (Unknown)
Solakhudin, Muhammad Rafi (Unknown)



Article Info

Publish Date
14 Oct 2024

Abstract

The integration of Operational Technology (OT) and Information Technology (IT) plays a pivotal role in optimizing enterprise-level decision-making, improving company efficiency and productivity. In this research, a software connector was designed to link Programmable Logic Controllers (PLCs) with Odoo’s Enterprise Resource Planning (ERP) system, facilitating real-time data acquisition from industrial machines. The integration supports communication protocols such as Modbus TCP/IP, Ethernet IP, and Profinet, enabling seamless data flow between OT and IT systems. To demonstrate this integration, a bottle sorting plant controlled by a PLC was developed, with production data transmitted in real-time to Odoo ERP. The Overall Equipment Effectiveness (OEE) method was employed within a custom-built manufacturing module in Odoo to monitor key performance metrics, including Availability, Performance, and Quality. Results of the OEE analysis were cross-verified with manual calculations, showing a 0% discrepancy, thus ensuring accuracy. In addition, the OEE metrics were visualized in Grafana, where real-time monitoring revealed the sorting machine's OEE at 85.7%, placing it in the world-class category. Availability reached 96.67%, Performance was at 92.53%, and Quality measured at 95.7%. This system not only streamlined production processes but also provided actionable insights, enabling the company to make data-driven improvements. The findings of this research highlight the benefits of IT-OT integration, improving machine performance and serving as a vital tool for evaluating production efficiency at the enterprise level.

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Journal Info

Abbrev

josh

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

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