Lab-scale Models of Manufacturing Systems for Testing Real-time Simulation and Production Control Technologies

In the last years, increase of data availability together with enhanced computation capabilities empowered researchers to conceive production planning and control methods real-time inputs. Literature is rich techniques for using simulation take decisions online. However, it generally impractical test these approaches on real systems, experiments digital instances are limited because they do not capture physical aspects. This work proposes Real-time Simulation lab-scale models manufacturing systems a software architecture aligned industrial standards. Such allow reproduce material flows logic factory environments. By exploiting this setting new tools, possible their own achievable Technology Readiness Level (TRL). The laboratory has been used set rescheduling problem Flexible Manufacturing System (FMS) model. involves current system state online identification implementation scheduling rule that decreases expected makespan. results testify proposed can be successfully approaches.