Real-time adaptive task schedule for a flexible manufacturing system

Manufacturers always need flexible and reliable systems to control and monitor the manufacturing process. The Flexible Manufacturing System (FMS) is one of the answers. By using FMS, manufacturers can produce customized products faster than ever to meet market requirements. The problem of tasks scheduling is one of main research topics for the FMS. The Timed Petri net model introduces the possibility of applying a set of mathematical results, mainly based on the use of Max-Plus algebra, for performance analysis. This thesis aims to build a new scheduling method for a Flexible Manufacturing Work-Cell by merging the Timed Petri net model and Max-Plus algebra. These results can be computed as functions of a certain set of decision parameters. These functions can be used to schedule, plan and control the Flexible Manufacturing Work-Cell, so that it can adapt to machine faults, automatically in real time.