This book presents state-of-the-art research, challenges and solutions in the area of human-robot collaboration (HRC) in manufacturing. It enables readers to better understand the dynamic behaviour of manufacturing processes, and gives more insight into on-demand adaptive control techniques for industrial robots. With increasing complexity and dynamism in today's manufacturing practice, more precise, robust and practical approaches are needed to support real-time shop-floor operations. This book presents a collection of recent developments and innovations in this area, relying on a wide range of research efforts. The book is divided into five parts. The first part presents a broad-based review of the key areas of HRC, establishing a common ground of understanding in key aspects. Subsequent chapters focus on selected areas of HRC subject to intense recent interest. The second part discusses human safety within HRC. The third, fourth and fifth parts provide in-depth views of relevant methodologies and algorithms. Discussing dynamic planning and monitoring, adaptive control and multi-modal decision making, the latter parts facilitate a better understanding of HRC in real situations. The balance between scope and depth, and theory and applications, means this book appeals to a wide readership, including academic researchers, graduate students, practicing engineers, and those within a variety of roles in manufacturing sectors.

This book presents state-of-the-art research, challenges and solutions in the area of human-robot collaboration (HRC) in manufacturing. It enables readers to better understand the dynamic behaviour of manufacturing processes, and gives more insight into on-demand adaptive control techniques for industrial robots. With increasing complexity and dynamism in today's manufacturing practice, more precise, robust and practical approaches are needed to support real-time shop-floor operations. This book presents a collection of recent developments and innovations in this area, relying on a wide range of research efforts. The book is divided into five parts. The first part presents a broad-based review of the key areas of HRC, establishing a common ground of understanding in key aspects. Subsequent chapters focus on selected areas of HRC subject to intense recent interest. The second part discusses human safety within HRC. The third, fourth and fifth parts provide in-depth views of relevant methodologies and algorithms. Discussing dynamic planning and monitoring, adaptive control and multi-modal decision making, the latter parts facilitate a better understanding of HRC in real situations. The balance between scope and depth, and theory and applications, means this book appeals to a wide readership, including academic researchers, graduate students, practicing engineers, and those within a variety of roles in manufacturing sectors.

This book gathers the proceedings of the 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing (AMP 2020), held in Belgrade, Serbia, on 1-4 June 2020. The event marks the latest in a series of high-level conferences that bring together experts from academia and industry to exchange knowledge, ideas, experiences, research findings, and information in the field of manufacturing. The book addresses a wide range of topics, including: design of smart and intelligent products, developments in CAD/CAM technologies, rapid prototyping and reverse engineering, multistage manufacturing processes, manufacturing automation in the Industry 4.0 model, cloud-based products, and cyber-physical and reconfigurable manufacturing systems. By providing updates on key issues and highlighting recent advances in manufacturing engineering and technologies, the book supports the transfer of vital knowledge to the next generation of academics and practitioners. Further, it will appeal to anyone working or conducting research in this rapidly evolving field.

This book gathers the proceedings of the 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing (AMP 2020), held in Belgrade, Serbia, on 1-4 June 2020. The event marks the latest in a series of high-level conferences that bring together experts from academia and industry to exchange knowledge, ideas, experiences, research findings, and information in the field of manufacturing. The book addresses a wide range of topics, including: design of smart and intelligent products, developments in CAD/CAM technologies, rapid prototyping and reverse engineering, multistage manufacturing processes, manufacturing automation in the Industry 4.0 model, cloud-based products, and cyber-physical and reconfigurable manufacturing systems. By providing updates on key issues and highlighting recent advances in manufacturing engineering and technologies, the book supports the transfer of vital knowledge to the next generation of academics and practitioners. Further, it will appeal to anyone working or conducting research in this rapidly evolving field.

This book presents state-of-the-art research, challenges and solutions in the area of cloud-based cyber-physical systems (CPS) used in manufacturing. It provides a comprehensive review of the literature and an in-depth treatment of novel methodologies, algorithms and systems in the area of architecture design, cyber security, process planning, monitoring and control. The book features detailed descriptions of how to derive solutions in a cloud environment where physical machines can be supported by cyber decision systems when engaged in real operations. It presents a range of novel ideas and is characterized by a balanced approach in terms of scope vs. depth and theory vs. applications. It also takes into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Dedicated to the topic of cloud-based CPS and its practical applications in manufacturing, this book benefits readers from all manufacturing sectors, from system design to lifecycle engineering and from process planning to machine control. It also helps readers to understand the present challenges and future research directions towards factories of the future, helping them to position themselves strategically for career development.

Enterprise Networks and Logistics for Agile Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in the areas of enterprise networks and logistics, as well as their practical applications towards agile manufacturing. With the increasing decentralisation of manufacturing systems and outsourcing of processes, more robust and practical approaches and systems are needed to support agile manufacturing operations. Enterprise Networks and Logistics for Agile Manufacturing consists of two major sections: the first presents a broad-based review of the key areas of research in enterprise networks and logistics; the second focuses on an in-depth treatment of a particular methodology or system relevant to the book title. Examples include: * sustainable green supply chain; * value creation and supplier selection; * extended enterprise network management; * reverse logistics; and * innovative supply chain systems. The authors take into account the need to pose intellectual challenges while retaining a balanced approach in terms of scope versus depth and theory versus applications. Enterprise Networks and Logistics for Agile Manufacturing can be beneficial to academic researchers, practicing engineers and managers, and graduate students with an interest in any manufacturing sectors. It can enable them to better understand the present state and future trends of research in this important area, in order to position themselves strategically for future challenges as we enter the era of agile and distributed manufacturing.

With the increasing complexity and dynamism in today's product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.

With the increasing complexity and dynamism in today's machine design and development, more precise, robust and practical approaches and systems are needed to support machine design. Existing design methods treat the targeted machine as stationery. Analysis and simulation are mostly performed at the component level. Although there are some computer-aided engineering tools capable of motion analysis and vibration simulation etc., the machine itself is in the dry-run state. For effective machine design, understanding its thermal behaviours is crucial in achieving the desired performance in real situation. Dynamic Thermal Analysis of Machines in Running State presents a set of innovative solutions to dynamic thermal analysis of machines when they are put under actual working conditions. The objective is to better understand the thermal behaviours of a machine in real situation while at the design stage. The book has two major sections, with the first section presenting a broad-based review of the key areas of research in dynamic thermal analysis and simulation, and the second section presents an in-depth treatment of relevant methodology and algorithms, leading to better understanding of a machine in real situation. The book is a collection of novel ideas, taking into account the need for presenting intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Given the essential role of modern machines in factory automation and quality assurance, a book dedicated to the topic of dynamic thermal analysis, and its practical applications to machine design would be beneficial to readers of all design and manufacturing sectors, from machine design to automotive engineering, in better understanding the present challenges and solutions, as well as future research directions in this important area.

With the increasing complexity and dynamism in today's product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.

This is the first book to focus on emerging technologies for distributed intelligent decision-making in process planning and dynamic scheduling. It has two sections: a review of several key areas of research, and an in-depth treatment of particular techniques. Each chapter addresses a specific problem domain and offers practical solutions to solve it. The book provides a better understanding of the present state and future trends of research in this area.

Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.

Enterprise Networks and Logistics for Agile Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in the areas of enterprise networks and logistics, as well as their practical applications towards agile manufacturing. With the increasing decentralisation of manufacturing systems and outsourcing of processes, more robust and practical approaches and systems are needed to support agile manufacturing operations. Enterprise Networks and Logistics for Agile Manufacturing consists of two major sections: the first presents a broad-based review of the key areas of research in enterprise networks and logistics; the second focuses on an in-depth treatment of a particular methodology or system relevant to the book title. Examples include: * sustainable green supply chain; * value creation and supplier selection; * extended enterprise network management; * reverse logistics; and * innovative supply chain systems. The authors take into account the need to pose intellectual challenges while retaining a balanced approach in terms of scope versus depth and theory versus applications. Enterprise Networks and Logistics for Agile Manufacturing can be beneficial to academic researchers, practicing engineers and managers, and graduate students with an interest in any manufacturing sectors. It can enable them to better understand the present state and future trends of research in this important area, in order to position themselves strategically for future challenges as we enter the era of agile and distributed manufacturing.

With increasingly complex manufacturing systems and processes, more intelligent and unique devices and machines are needed to support manufacturing operations. Smart Devices and Machines for Advanced Manufacturing presents a focused collection of quality chapters on the state of the art of research efforts in the area of smart devices and novel machine design, as well as their practical applications to enable advanced manufacturing. The book can be viewed as consisting of two major sections, with the first section presenting a broad-based review of several key areas of research in smart devices and machines, whereas the second section is focused on presenting an in-depth treatment of a particular device or machine, from parallel kinematic mechanism to conventional robotic attachment. Smart Devices and Machines for Advanced Manufacturing will be of interest to a broad readership, from manufacturing and industrial engineers to researchers and postgraduates in computer-integrated manufacturing and computer-aided design and manufacturing.

Epigenetic Regulation in Overcoming Chemoresistance, Volume 19, explains how epigenetic agents can enhance the chemotherapy sensitivity of diverse types of cancers. The book provides a comprehensive delineation and the recent development of the scientific studies on the epigenetic regulation in enhancing chemo-sensitivity. In addition, it discusses several topics such as DNA methyltransferase inhibitors (DNMTi), Histone deacetylases inhibitors (HDACi), Histone lysine demethylases inhibitors (HDMi), Histone lysine methyltransferases inhibitors (HMTi) and drugs regulating the microRNA, long non-coding RNA (lncRNA) or RNA methylation. Finally, recent and future developments of the field of epigenetic regulation are explored. This is a valuable resource for cancer researchers, clinicians, graduate students and several members of biomedical field who are interested in learning about epigenetic regulation methods to reverse chemo-resistance in cancers.

The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.

Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.

Collaborative design has attracted much attention in the research community in recent years. With increasingly decentralized manufacturing systems and processes, more collaborative approaches and systems are needed to support distributed manufacturing operations. "Collaborative Design and Planning for Digital Manufacturing" presents a focused collection of quality chapters on the state-of-the-art research efforts in the area of collaborative design and planning, as well as their practical applications towards digital manufacturing.

"Collaborative Design and Planning for Digital Manufacturing" provides both a broad-based review of the key areas of research in digital manufacturing, and an in-depth treatment of particular methodologies and systems, from collaborative design to distributed planning, monitoring and control. Recent development and innovations in this area provide a pool of focused research efforts, relevant to a wide readership from academic researchers to practicing engineers.

The process planning and scheduling issues of intelligent and distributed manufacturing are crucial nowadays due to the need for enterprises to be adaptive, re-configurable, collaborative and flexible enough to support the emergence of worldwide competition and dynamic and mass-customized markets. With this increasing dynamism of decentralized manufacturing systems and processes, more effective and efficient decision-making techniques are needed.

Unlike traditional methodologies for rather centralized and static process planning and scheduling, Process Planning and Scheduling for Distributed Manufacturing is the first book to focus on emerging technologies for distributed intelligent decision-making in process planning and dynamic scheduling. As a collection of chapters on state-of-the art research in this area; this book consists of two major sections: the first section presents a review of several key areas of research in process planning and scheduling (e.g. adaptive process planning, dynamic scheduling, and process planning and scheduling integration), and the second section presents an in-depth treatment of particular techniques, from agent-based resource scheduling to function block enabled process planning and execution control. Each chapter addresses a specific problem domain and offers practical solutions to solve the problem.

Given the essential role manufacturing plays in the economic development of all industrial nations, Process Planning and Scheduling for Distributed Manufacturing will be of interest to academic researchers, practising engineers and graduate students for whom it will provide a better understanding of the present state and future trends ofresearch in this important area.

Handbook of Manufacturing provides a comprehensive overview of fundamental knowledge on manufacturing, covering various processes, manufacturing-related metrology and quality assessment and control, and manufacturing systems. Many modern processes such as additive manufacturing, micro- and nano-manufacturing, and biomedical manufacturing are also covered in this handbook. The handbook will help prepare readers for future exploration of manufacturing research as well as practical engineering applications.