A fuzzy Petri net-based reasoning method for rescheduling

Because of the high possibility of uncertain production disturbances, an established optimized schedule may not keep its optimality or even feasibility. Production rescheduling, which gives attention to both optimal scheduling and dynamic scheduling, is proposed in this background. One of the most important issues in rescheduling research is the rescheduling strategy that refers to rescheduling start-up decision making and rescheduling methodology adoption. It is ill structured, and involves some fuzzy and random information. In order to solve it, a fuzzy Petri net model for rescheduling (FPN-R) is proposed. Based on it, a fuzzy reasoning approach for rescheduling decision-making is discussed. Finally, a case study from a wafer fabrication plant is used to show the application and feasibility of the proposed FPN-R model and reasoning approach.