Designing a scheduling logic controller for industry 4.0 environments

Abstract

We present a new scheduling model with the capacity of addressing autonomously reschedules of production plans. The proposed model allows to consider the evolution of an optimized schedule (pseudo optimized) and to carry out corrective actions during the execution of the schedule. These corrective actions guarantee the fulfillment of the objectives of the initial schedule with respect to the tolerance of the schedule defined by the scheduler. These tolerances are established by calculating the tolerance scheduling problem. Therefore, the rescheduling actions, instead of being triggered by events, will be activated based on the reception of realtime data collected during the production run. The data is analyzed by the logic controller in terms of scheduling efficiency using the scheduling model proposed in this paper. This model is based on Cyber-Physical Systems, proper of Industry 4.0 systems.