Toward Digital Twin Driven Dynamic Scheduling of Flexible Manufacturing Shop Floor

This study focuses on dynamic scheduling in a real Flow Shop assembly process, addressing specific constraints of a brass manufacturing system. A Mixed Integer Linear Programming (MILP) model is proposed to be integrated into an existing Decision Making System (DMS) developed in previous works. This approach aims to enhance Digital Twin (DT)-driven dynamic scheduling for Industry 4.0 by addressing uncertainties related to machine availability. The MILP model will be coupled with a 3D simulation platform within a Cyber Physical Production System (CPPS), enabling adaptive rescheduling in response to machine disruptions and unforeseen events. Validation scenarios based on real-case data illustrate the potential of this integration to effectively tackle dynamic scheduling challenges.