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The present study considers a new when-to-schedule policy in production scheduling based on our previous work. This paper proposes a hybrid when-to-schedule policy introducing a cumulative delay driven rescheduling and a forced rescheduling to maintain the quality of a current schedule, which can be applicable to the timing of rescheduling under dynamic environment with unforeseeable events. We examine, through some computational experiments, some properties of the proposed policy by applying it to single-machine dynamic scheduling problems with sequence-dependent set-ups and random arrivals of hot jobs where we minimize total setups as well as total frequency of rescheduling. It is also demonstrated that the proposed policy outperforms the periodic and event-driven rescheduling policy with less frequency of scheduling.

Hybrid When-to-Schedule Policy for Dynamic Scheduling (Its Application to Single Machine Models)