The Effect of Queue Length for a Priority Rule based Scheduling Problem in the Context of Industry 4.0
This paper considers the problem of random arrival orders scheduling by minimizing total tardiness with regard
to agility concept of Industry 4.0. We analyzed a real life problem and developed a myopic solution for the scheduling of
jobs. The aim of the study is to minimize total tardiness by reducing machine setups focusing on queuing size. Customer
orders are released with respect to their due dates and there are sequence dependent setup times. But appropriate queuing
size allows to reschedule jobs in the production area. The sequence of jobs on the queue could be change by using priority
rule that depends on current part type in the machine.
Keywords - Scheduling, Uncertain Demand and Process Times, Queuing Systems, Simulation Models, Industry 4.0.