Using order routing specific flow time and workload information to improve lead time and due date performance in job shops

Research on due date setting in job shop production systems has revealed a number of factors that, when taken into account in order due date setting, lead to better due date performance. These factors are the processing times of the order, the number of operations of the order, and the workload in the shop at the arrival time of the order. In this paper we investigate further refinements of the way in which these factors are taken into account when setting due dates. In particular we investigate the use of complete information about the order flow time probability density function and the workload on the routing of an order