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.
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 graduated with a BSc and MSc of Industrial Engineering at Mazandaran University of Science and Technology, Babol, Iran in 2008 and 2010, respectively. He received his PhD in Industrial and Systems Engineering at Iran University of Science and Technology, Tehran, Iran in 2015. He has recently completed the postdoctoral research fellowship at Sharif University of Technology, Tehran, Iran, in the area of Reliability Engineering for Complex Systems. He is on the editorial board of several journals and technical committee and conferences. His research interests are supply chain planning, robot path planning, reliability engineering, and manufacturing systems. He has published over 200 research papers and 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 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, his Masters and his Ph.D. 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 µ.
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