The paper presents a novel approach to system dependability problem. The analysed systems and networks – characterised by different sets of features – are considered as a union of all their resources essential for the predicted tasks realisation. The system dependability is discussed with respect to the occurrence of incidents and treats that may cause to damage the system resources and – in consequence – to the collapse of the executed tasks. The maintenance policy system is based on two main concepts: detection of unfriendly events and system responses to them. The proposed analysis is realised from the user’s point of view, focusing on functional features described by business services available in the system.
The paper proposes a method of reliability and functional analysis related to discrete transport systems. The proposed analysis is based on modelling and simulating of the system behaviour. 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 modelling. The authors stress the problem of influence of the reliability parameters for final functional measures (required time of delivery) – the key value to calculate the availability of the system. 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 transportation system logistics.
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