Discrete-Time Markov-Reward Models of Production Systems
作者： Ranga Mallubhatla , Krishna R. Pattipati , N. Viswanadham
DOI: 10.1007/978-1-4613-9347-4_6
关键词:
摘要: In this paper we consider the discrete-time version of performability modeling. The approach is well-suited for performance studies Automated Manufacturing Systems (AMS) in presence failures, repairs and reconfigurations. AMS exist various configuration states transitional behavior modeled using Markov chains. addition, each state by a reward structure, that similar to continuous-time versions. paper, derive recursive expressions conditional densities moments cumulative function, when underlying chain describing evolution homogenous. Examples are used illustrate methods obtained paper.
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