Modeling and Online Scheduling of Flexible Manufacturing Systems Using Stochastic Petri Nets
IEEE Transactions on Software Engineering
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Petri nets (PNs) are powerful tools for modeling and analysis of discrete event dynamic systems. The graphical nature and mathematical foundation make Petri net based methods appealing for a wide variety of areas including real-time scheduling and control of flexible manufacturing systems (FMSs). This study attempts to propose an object-oriented approach for modeling and analysis of shop floor scheduling and control problem in FMSs using high-level PNs. In this approach, firstly, object modeling diagram of the system is constructed and a heuristic rule-base is developed to solve the resource contention problem, then the dynamic behavior of the system is formulated by high-level PNs. The methodology is illustrated by an FMS.