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Real-time rescheduling of production systems using relational reinforcement learning
(QUALIS CAPES (UFSC), 2011-12)
Most scheduling methodologies developed until now have laid down good theoretical foundations, but there is still the need for real-time rescheduling methods that can work effectively in disruption management. In this ...
SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning
(Elsevier Science Ltd, 2012)
Task Rescheduling using Relational Reinforcement Learning
(IBERAMIA, 2012-12)
Generating and representing knowledge about heuristics for repair-based scheduling is a key issue in any rescheduling strategy to deal with unforeseen events and disturbances. Resorting to a feature-based propositional ...
Job shop rescheduling with rework and reconditioning in Industry 4.0: an event-driven approachReprogramación del taller de trabajo con retrabajo y reacondicionamiento en Industria 4.0: un enfoque basado en eventos
(The International Journal of Advanced Manufacturing Technology, 27/07/2021)
In this paper, we investigate the impact of rescheduling policies in the event of both rework and reconditioning in job shop manufacturing systems. Since these events occur in unplanned and disrupting manner, to address ...
The tolerance scheduling problem for maximum lateness in Industry 4.0 systems
(Elsevier, 2021)
Industry 4.0 is a new production paradigm that promotes the digitalization of currentindustrial systems, in order to improve substantially their productivity andflexibility. This process has been pushed ahead by new ...