IIoT Based Job Shop Scheduler Monitoring System

The manufacturing industry has now started the 4th revolution; also referred to as Industry 4.0, powered by the Industrial Internet of Things (IIoT) technology. In this context factories are now being transformed into smart industries by automation of the Shop Floors. Automation comprises of scheduling and monitoring cycles. To implement the true essence of Industry 4.0, several different techniques have been applied to schedule the shop floor tasks, while a gap persists in monitoring the Job Shop Scheduler. This paper aims at presenting an optimized IIoT based Job Shop Scheduler Monitoring System that tracks the tasks being performed by the machines, thus completing the closed loop feedback path, enabling automatic detection of completion time of a job and based on that, dynamic rescheduling. This automation improves the efficiency of the whole shop floor and ultimately resulting in the optimal management of the resources and time at enterprise level. The monitoring system was tested in an actual shop floor setting and results verify the practicability in improving performance of the shop floor.