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Importance measures in reliability engineering are used to identify weak components of a system and signify the roles of components in contributing to proper functioning of the system. Recently, an integrated importance measure (IIM) has been proposed to evaluate how the transition of component states affects the system performance based on the probability distributions and transition rates of component...
This paper proposed a Markov Bayesian network (MBN) model to facilitate the calculation of integrated importance measure (IIM) for component state in dynamic multi-state systems. First, the concept of IIM is introduced and its computation formula is decomposed into 3 parts to simplify the analysis process. Then, the MBN is proposed on the basis of Bayesian network and state transition diagram to describe...
This paper proposed an integrated importance based maintenance decision making method to provide reasonable maintenance schemes for decision makers. First, the concept of integrated importance measure (IIM) is introduced and its physical meaning and characteristics in maintenance are discussed. Then, a new maintenance decision making model (MDM) is put forward by extending the influence diagram. The...
Importance measures in reliability engineering are used to find the weak areas of a system. Traditional importance measures for binary systems and multi-state systems mainly concern reliability importance of an individual component, and seldom consider the reliability importance of the causal components. This paper constructs the failure importance analysis Bayesian networks (FIABN) to describe the...
This paper promotes an adaptive optimal model and algorithm for the distributed inventory system which includes one plant, m candidate distribution centers and time-varying customers. The inventory control policy (Q,s) is used in the distributed inventory system. First of all, we adopt theory of the weighted graph to build a mathematical model, which can convert general optimal mathematical model...
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