Batch deterministic and stochastic Petri nets modeling, analysis and its application to supply chain (original) (raw)

Batch Deterministic and Stochastic Petri Nets (BDSPN) are introduced for modeling, analysis, and performance evaluation of industrial systems characterized as batch processes. This paper presents a formal description of the BDSPN model, including its unique characteristics such as handling batch behaviors, and discusses methods for transforming BDSPNs into classical discrete Petri nets for analysis purposes. Key contributions include unveiling the structure of the BDSPN and developing transformation and analysis techniques that demonstrate its applicability to real-world logistics and supply chain scenarios.