Paper Title
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.