Real Time OEE Monitoring for Intelligent Manufacture Technology

To meet the quality management requirements of ISO 9001:2015, products must have quality in accordance with standards set by customers. Therefore, management is expected to set quality targets, including utility and efficiency with targets for improvement every year. One of the improvement steps taken is to focus on increasing productivity. Production equipment needs to be equipped to be able to send and receive data in realtime, then process and display the results to monitor the condition and performance of the equipment. By directly monitoring production results, staff can immediately investigate if there is a decrease in operator productivity. This action is expected to help achieve the productivity targets set by management. This research takes a case study on the JY 1100 Auto Gluing machine. The Overall Equipment Effectiveness (OEE) concept can be developed for realtime monitoring purposes in decision making if there is a decrease in utilization and efficiency results on the JY 1100 Auto Gluing machine. The OEE concept involves measuring availability (utility), performance (efficiency) and quality. The design of the real time OEE monitoring system on the JY 1100 Auto Gluing machine was carried out using the System Development Life Cycle (SDLC) method in prototype form through 5 stages: planning, analysis, design, implementation and testing. The design results are in the form of a mini conveyor prototype and monitoring system equipped with an ERP module. The mini conveyor prototype is designed according to the workings of the JY 1100 Auto Gluing machine. The prototype is equipped with sensors for collecting data, then the data is displayed on the dashboard. This real time machine monitoring design uses 4 Raspberry Pi Pico W microcontrollers, 4 photoelectric sensors, along with trigger relays to obtain counter, machine start, production machine and reject data. The monitoring system dashboard was added to an ERP module which was created to be close to the ERP system currently running in the company. This is a test that the designed system can be integrated with the company's system. Once this system is installed on the company server, it will be accessible anywhere. Thus, this system can be applied as an intelligent manufacturing technology.