Abstract
Aimed at the variations of CP, combined modular modelling method and structure changing mechanisms, a modular colored Petri net with changeable structure (MCPN-CS) workflow modelling method is proposed. A new type of place, namely signal place, is added into the MCPN-CS to respond the variation states of CP. Meanwhile, a hybrid variation monitoring and an analyzing and reasoning controller are designed. Therefore, according to the real-time variation status, the workflow model for CP can be reconfigured intelligently by using the mechanism of change-by-modification (CBM) and change-by-composition (CBC). A case study on osteosarcoma CP evolution workflow modelling is give to validate the proposed method.
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