Availability of a system is a crucial factor for planning and optimization. The concept is more challenging for modern systems such as robots and autonomous systems consisting of a complex configuration of components. As complex systems have become global and essential in today’s society, their reliable design and the determination of their availability have turned into a very important task for managers and engineers.
Reliability Models of Complex Systems for Robots and Automation offers different models and approaches for reliability evaluation and optimization of a complex autonomous system. Comprehensive fault tree analysis on the critical components of industrial robots and its integration with the reliability block diagram approach is designed in order to investigate the robot system reliability. The cost and hazard decision tree are integrated for the first time in an approach to evaluate the reliability of a complex system.
- Considers a complex production system composing of several autonomous robots
- Develops binary state reliability evaluation model for a complex system
- Introduces new concepts of hazard decision tree
- Proposes fault tree and reliability block diagram for complex robotic systems
- Develops stochastic process based reliability evaluation and optimization models
Today’s competitive world with increasing customer demands for highly reliable products makes reliability engineering a more challenging task. Reliability analysis is one of the main tools to ensure agreed delivery deadlines which in turn maintains certainty in real tangible factors such as customer goodwill and company reputation.
Table of Contents
Introduction and Background. Fault Tree Analysis and Reliability Block Diagram. Cost and Hazard Decision Tree Models. Binary State and Bernoulli Trials Reliability Model. Binary Decision Diagram Reliability Model. Decomposition and Minimal Path and Cuts Models. Bayesian Network Reliability Model. Modified Branching Process Reliability Model. Standby Renewal Process Reliability Model. Reliability and Inspection Model. References and Further Reading.
Hamed Fazlollahtabar had graduated in BSc and MSc of Industrial Engineering at Mazandaran University of Science and Technology, Babol, Iran at 2008 and 2010, respectively. He received his PhD of Industrial and Systems Engineering at Iran University of Science and Technology, Tehran, Iran at 2015. He has just completed the postdoctoral research fellowship at Sharif University of Technology, Tehran, Iran, in the area of Reliability Engineering for Complex Systems. He is in the editorial board of several journals and technical committee of conferences. His research interests are robot path planning, reliability engineering, supply chain planning, and business intelligence and analytics. He has published over 230 research papers in international book chapters, journals, and conferences. Also, he published five books in which three of them are internationally distributed to the academicians.
Seyed Taghi Akhavan Niaki is a Professor of Industrial Engineering at Sharif University of Technology. His research interests are in the areas of Simulation Modeling and Analysis, Applied Statistics, Multivariate Quality Control, and Operations Research. Before joining Sharif University of Technology, he worked as a systems engineer and quality control manager for Iranian Electric Meters Company. He received his Bachelor of Science in Industrial Engineering from Sharif University of Technology in 1979, and his Master’s and his PhD degrees both in Industrial Engineering from West Virginia University in 1989 and 1992, respectively. He is the Co-Editor-In-Chief of Scientia Iranica, Transaction-E editor of Scientia-Iranica, a board member of several international journals, and a member of απμ.