Designing a Petri net Model for Resource Allocation in an Automated Assembling Shop

In today's competitive manufacturing systems it is critical to be responding quickly to the demands of customers and decreasing total cost of production. Long cycle times are associated with higher costs of work in process (WIP), increased demand forecasting errors, and lower yields due to slower control feedback. Automated Assembling Shop (AAS) is a class of systems exhibiting concurrency and synchronicity. Achieving high performance AAS, it’s necessary to use methods to minimization makespan (production cycle time) and minimization WIP in buffers and maximization machine utilization. This paper intends to focus resource/machine allocation for decreasing WIP and reduction in cycle times using timed Petri net (TPN).A case study is discussed to show the effectiveness of the model.