Abstract:
This thesis is created to tackle the manual-processing problem that still occurs in manufacturing industry. In particular, it will explain the development process of a mobile aplication for schedule control and monitoring system with Raspberry Pi 4 that will help the technician and operator in the human-driven production line at the industry to become more productive by eliminating the deficient aspects of their task that can be automated.
The mobile application can provide real-time monitoring from wherever the Raspberry pi is placed, detects if there is a machine problem and automatically sends notifications to the technician in charge that day. Another feature of the system is also predictive maintenance for machine. The system will also utilize a dashboard for the operator to input products target for that day and the system automatically calculate the target that needed to be reached per shift.
Therefore, this thesis will be of interest to the manufacturing industry seeking to advanced to Industry 4.0.
