Discrete transport system simulated by SSF for reliability and functional analysis

A method of reliability and functional analysis related to discrete transport systems is presented. The proposed analysis is based on modeling and simulating of the system behavior. Monte Carlo simulation is used for proper reliability and functional parameters calculation. The simulator is built using Scalable Simulation Framework (SSF). No restriction on the system structure and on a kind of distribution is the main advantage of the method. The paper presents some exemplar system modeling. The authors stress the problem of influence of the reliability parameters for final system functional measures (required time of delivery). They also propose to measure the economic quality of discrete transport system by "profit function". The presented problem is practically essential for defining an organization of vehicle maintenance and transport system logistics.