Abstract
Flowshop scheduling problems with a work shop or group shop in which the flow control shall enable an appropriate sequencing for each job and for processing on a set of machines are very significant for production control. HFS (Hybrid Flowshops) is a typical mass-customization with large product series which is widely used in the current production companies. However, as the increasing customization requirements from large number of customers, the control of HFS is really difficult. This paper introduces a Petri net-based adaptive scheduling model for easing the qualitative analysis of the production system and reducing the complexity. Resource-oriented Petri Net (ROPN) is used to establish the relation in terms of logics and behaviors of various resources, converting the dynamics control of manufacturing system into resources aspects. After the model analysis and a real-life case illustration, this model can perform good interpretation of various objective functions and real case considerations. That could be used for guiding production schedules control and automation.
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