Reliability Models Of Complex Systems For Robots And Automation
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Reliability Models of Complex Systems for Robots and Automation
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.
Sustainable Automated Production Systems
Due to disruptions occurring within production processes as a result of different circumstances, it is necessary to provide a new and safe production system that can be resilient to cope with any crisis, such as a pandemic. New sustainable automated production systems need to be proposed and adopted by industrial managers and this book fulfills that need. Sustainable Automated Production Systems: Industry 4.0 Models and Techniques includes the modern technologies of Industry 4.0 and discusses automated systems, robotic production, sustainable automation, production process automation, and the use of IoT in production. It goes over the circular economy and automated production processes and presents theories and practices associated with mathematical models of process automation in sustainable production. The book also investigates how sustainability in automated production systems using the IoT can present unique circumstances when pandemics or other disruptions are involved. The book includes chapters presenting sustainable production models and automated production using Industry 4.0 technologies and is targeted to help both practitioners and academics.
XIV International Scientific Conference “INTERAGROMASH 2021"
This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used in the educational process at specific agricultural universities or during vocational training at enterprises and become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.