Combining prospect theory with fuzzy theory to handle disruption in production scheduling

This paper focuses on revising a production scheduling that an unpredictable disruption happens after a subset of jobs has been processed. Under these circumstances, continuing with the original schedule will not be optimal. This paper combines prospect theory and fuzzy theory to present a recovery model to handle the disruption. The proposed model is different from most rescheduling approaches in that the difference between the original schedule and the recovery schedule is contained by taking human behavior into consideration. The computational result demonstrates that due to the tradeoff between all participators involved in production scheduling, our model is more effective than existing rescheduling approaches. nema