Modeling and Analysis of Container Terminal Logistics System by Extended Generalized Stochastic Petri Nets

In this paper, an extended Generalized Stochastic Petri Net (e-GSPN) was proposed for effective modeling of complex container terminal logistics systems (CTLS). To cope with their complexity and implement rule based dynamic scheduling of CTLS, a special type of place called rule place and a special type of transition called decision transition are integrated in GSPN using object oriented approaches. Guided by this e-GSPN method, a simulation model was built as an example to illustrate the modeling approaches. According to actual operations in one container terminal of Shanghai port in China, we give a case study to analyze the relationships between decision rules and collisions.