A real-time scheduling system for a sensorised job shop using cloud-based simulation with mobile device access
CITATION: Snyman, S., Bekker, J. & Botha, J. P. 2018. A real-time scheduling system for a sensorised job shop using cloud-based simulation with mobile device access. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa.
The original publication is available at https://conferences.sun.ac.za/index.php/saiie29/saiie29/schedConf/presentations
Scheduling is a challenge that continues to trouble management of the operational phase of the manufacturing life cycle and can be attributed to the complex, dynamic and stochastic nature of a manufacturing system. Computer simulation is often used to assist with scheduling, as it can sufficiently mimic complex, discrete, dynamic, stochastic processes. We propose and develop a prototype real-time simulation scheduling system for a sensorised factory, which is to serve as a decision support tool for real-time rescheduling of machine steps in a job shop.