Collaborative Engineering for Product Design and Development provides an in depth analysis of the collaborative technologies, processes and methodologies to support the product design and development process. The materials covered in the textbook attempt to integrate leading edge research concepts in collaborative product development with current practices in the real world. The book is written by renowned experts in the field of collaborative product development and provided total coverage of current technologies and tools and their applications to the product development. The book is an excellent text and a perfect reference for upper-level undergraduate and graduate students, researchers, engineers and practitioners in the field of collaborative product design, development and engineering, industrial engineering, manufacturing engineering and computer integrated manufacturing.

Collaborative Product Design and Manufacturing Methodologies and Applications introduces a wide spectrum of collaborative engineering issues in design and manufacturing. It offers state-of-the-art chapters written by international experts from academia and industry, and reflects the most up-to-date R & D work and applications, especially those from the last three to five years. The book will serve as an essential reference for academics, upper-level undergraduate and graduate students and practicing professionals.

This superb study offers insights into the methods and techniques that enable the implementation of a Collaborative Engineering concept on product design. It does so by integrating capabilities for intelligent information support and group decision-making, utilizing a common enterprise network model and knowledge interface through shared ontologies. The book is also a collection of the latest applied methods and technology from selected experts in this area.

With the rapid advances in computing and Internet technologies, an integrated and collaborative environment, which is based on the complementary functions of concurrent engineering and Internet-based collaborative engineering, is imperative for companies to facilitate and expedite the product realization processes. Topics such as concurrent and collaborative engineering, feature-based design and manufacturing, evolutionary computational techniques such as Tabu Search, Simulated Annealing, Genetic Algorithms features, intelligent and computer-aided process planning are important strategies and enabling technologies for developing an integrative environment, facilitating modern product design and development. This book covers the state-of-the-art research and development status of these strategies and technologies. Implementation strategies and case studies are provided with an emphasis on technical details to help readers understand the underlying algorithms and infrastructures. Contents: Manufacturing Feature Recognition Technology - State-of-the-Art; A Hybrid Method for Interacting Manufacturing Feature Recognition; Integration of Design-by-Feature and Manufacturing Feature Recognition; Intelligent Optimization of Process Planning; Collaborative Computer-Aided Design - State-of-the-Art; Development of Web-Based Process Planning Optimization System; Distributed and Collaborative Design-by-Feature System. Key Features Provides comprehensive surveys in the integrative and collaborative product development Updates the most recent R & D work of the last decade in the relevant areas Contains highly analytical approaches and methodologies Comprehensively covers implementation strategies and case studies Detailed discussions and comparisons of various approaches, algorithms and techniques Readership: Mechanical and manufacturing engineering graduate students, researchers in the field of concurrent engineering, collaborative engineering and intelligent engineering. Engineers in charge of utilization, development of concurrent and collaborative software tools.

Collaboration among individuals – from users to developers – is central to modern software engineering. It takes many forms: joint activity to solve common problems, negotiation to resolve conflicts, creation of shared definitions, and both social and technical perspectives impacting all software development activity. The difficulties of collaboration are also well documented. The grand challenge is not only to ensure that developers in a team deliver effectively as individuals, but that the whole team delivers more than just the sum of its parts. The editors of this book have assembled an impressive selection of authors, who have contributed to an authoritative body of work tackling a wide range of issues in the field of collaborative software engineering. The resulting volume is divided into four parts, preceded by a general editorial chapter providing a more detailed review of the domain of collaborative software engineering. Part 1 is on "Characterizing Collaborative Software Engineering", Part 2 examines various "Tools and Techniques", Part 3 addresses organizational issues, and finally Part 4 contains four examples of "Emerging Issues in Collaborative Software Engineering". As a result, this book delivers a comprehensive state-of-the-art overview and empirical results for researchers in academia and industry in areas like software process management, empirical software engineering, and global software development. Practitioners working in this area will also appreciate the detailed descriptions and reports which can often be used as guidelines to improve their daily work.

This book reveals how a generative design process capitalizes on understanding humans in context to deliver appropriate innovation. A repertoire of design actions and output allows designers to work dynamically in order to create a cascade of new ideas and insights. The Design Matrix, a visual team tool, provides a prescriptive and descriptive guide enabling a range of users to work through a problem and also reflect on past decisions. Several case studies from prior industry collaborative projects show the complexities and tensions that can be tackled through the design process and matrix. Case studies include design and engineering development and production of an 8 Tesla MRI, biomedical projects, medical devices, and consumer products. Other cases with Ford Motor Company and Cognizant Technologies illustrate how using a human-centered design process can shift the business paradigm for new products, services, systems, and social innovations. Each story shows different and distinct aspects that span classic design and engineering problem solving to generative contextual processes which lead to innovative solutions. Describes a studio-based product development pedagogy so readers can understand through past examples how to operationalize their own design, engineering, and innovation processes; Provides specific stories that showcase details of the project work, the contextual insights, and proposed solutions as a result of applying tangible visualizations, collaborative work methods, and framing and reframing of the problem; Uses case studies to demonstrate how to use divergent and convergent design thinking and actions from multiple stages of the design process so this can lead to critical team integration and new contextual insights.