Collaborative manufacturing is an interactive process with great potential, but without the direct input of the plant floor systems information, a significant piece of the management process is not available for consideration. Collaborative Manufacturing provides guidance and examples of how and why real-time events within the plant floor managemen

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.

"Outlines best practices and demonstrates how to desgin in quality for successful development of hardware and software products. Offers systematic applications failored to particular market environments. Discusses Internet issues, electronic commerce, and supply chain."

"Reveals why some organizations succeed at collaboration while others fail. The author goes inside Boeing, Toyota, Mayo Clinic, Industrial Light & Magic and other companies to uncover key elements of collaboration success including deserialization"--Provided by publisher.

"This book examines recent and on-going research in the area of information systems"--

"Describes how to transform businesses, governments, universities and non-profit organizations into enterprises that create value through collaboration. Demonstrates how organizations can adopt collaborative culture by changing their structures"--Provided by publisher.

CEO Barry Halton is beginning to think he's not cut out to carry a company from ordinary to extraordinary. After a great start-up, his second company has hit an all-too-familiar wall.Frustrated and discouraged, he runs into an old friend who introduces him to The Collaborative Way(R), a way of working together that not only builds a great place to work but also generates the competitive advantage Barry is looking for.Three years after that chance encounter, the result is a dramatic change in Barry's leadership and in the leadership throughout his company-a tremendous growth in collaboration that's moving the company forward in a powerful and inspiring way.

This volume contains contributions from prominent researchers who participated in the 2007 IAENG International Conference on Operations Research. It presents theories and applications of modern industrial engineering and operations research to meet the needs of rapidly developing fields. The book reflects the tremendous advances in communication systems and electrical engineering and also serves as an excellent reference work for researchers and graduate students.

This book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information management being critical to successful manufacturing processes, this book emphasizes the importance of adequate modeling and systematic analysis of interacting elements in the era of smart manufacturing. The book provides an extensive overview of semantic technologies and their potential to integrate with existing industrial standards, planning, and execution systems to provide efficient data processing and analysis. It also investigates the design of Industry 5.0 solutions and the need for problem-specific descriptions of production processes, operator skills and states, and sensor monitoring in intelligent spaces. The book proposes that ontology-based data can efficiently represent enterprise and manufacturing datasets. The book is divided into two parts: modeling and optimization. The semantic modeling part provides an overview of ontologies and knowledge graphs that can be used to create Industry 4.0 and 5.0 applications, with two detailed applications presented on a reproducible industrial case study. The optimization part of the book focuses on network science-based process optimization and presents various detailed applications, such as graph-based analytics, assembly line balancing, and community detection. The book is based on six key points: the need for horizontal and vertical integration in modern industry; the potential benefits of integrating semantic technologies into ERP and MES systems; the importance of optimization methods in Industry 4.0 and 5.0 concepts; the need to process large amounts of data while ensuring interoperability and re-usability factors; the potential for digital twin models to model smart factories, including big data access; and the need to integrate human factors in CPSs and provide adequate methods to facilitate collaboration and support shop floor workers.