In today's competitive world, customer demands for highly reliable products, makes reliability engineering a more challenging task. Reliability analysis is one of the main tools to ensure agreed upon delivery deadlines, which in turn maintains certainty in tangible factors such as goodwill and company reputation. This unique book considers a complex production system composing of several autonomous robots performing manufacturing jobs. The reliability of the complex system is analyzed under different conditions, with different objectives. Various reliability models are developed with each focusing on the specifications of a unique problem, and provides the evaluation of a complex system.
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Covers reliability for complex systems
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Includes material on automation and reliability
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Discusses robotics and reliability
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Presents stochastic process based reliability models
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Addresses Bernoulli Binary Reliability Model
Preface
Chapter 1 : Introduction and Background
Chapter 2 : Fault Tree Analysis and Reliability Block Diagram
Chapter 3 : Cost and Hazard Decision Tree Models
Chapter 4 : Binary State and Bernoulli Trials Reliability Model
Chapter 5 : Binary Decision Diagram Reliability Model
Chapter 6 : Decomposition and Minimal Path and Cuts Models
Chapter 7 : Bayesian Network Reliability Model
Chapter 8 : Modified Branching Process Reliability Model
Chapter 9 : Standby Renewal Process Reliability Model
Chapter 10 : Reliability and Inspection Model
Chapter 11 : References and Further Reading
Index
