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This book proposes a new approach to risk assessment in internal transport supporting material flows in the Logistics 4.0 system. The development of Industry 4.0 and the accompanying digitization of processes in organizations cause changes related to the functioning of production and supporting systems. As the research proves, one of the areas of such change is the evolution of the risk occurring in logistics processes. Despite the growing number of publications on risk assessment in Logistics 4.0 systems, the research focuses solely on technical aspects related to the maintenance of cyber-physical systems or organizational issues related to planning the operation of these systems. However, the currently developed Logistics 4.0 systems are complex cyber-human-technical system, requiring an interdisciplinary approach to assessing the risk associated with their operation. The literature research conducted by the author showed a clear research gap regarding risk assessment methods that consider the specific nature of internal logistics systems operating in the Industry 4.0 environment. The purpose of the monograph is to present current risk assessment methods and indicate process and system changes related to implementing Industry 4.0 solutions in internal transport systems. On this basis, a risk assessment method that perceives internal transport as a complex human-cyber-physical system was proposed. This method was developed based on a critical literature analysis, which allowed to identify the current research gap and the author's research in enterprises implementing Industry 4.0 solutions. Therefore, the results presented in the book are the basis for developing the risk management concept, offering a new body of knowledge regarding activated threats and the evolution of risk occurring in autonomous and automatic internal transport systems. The presented research results are also of utilitarian importance, as they provide analytical tools and formulate conclusions constituting good practices for modern enterprises interested in digitizing and automating logistics processes.

Transportation engineering. --- Traffic engineering. --- Business logistics. --- Engineering design. --- Transportation Technology and Traffic Engineering. --- Logistics. --- Engineering Design.

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The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Artificial intelligence --- Production engineering. --- Industrial applications. --- Engineering. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Computational intelligence. --- Intelligence, Computational --- Soft computing