Integrated and Collaborative Product Development Environment

Integrated and Collaborative Product Development Environment

Number of page: 330
Author: W. D. Li, S. K. Ong, Andrew Yeh Chris Nee
Publisher: World Scientific
Rating:
Category: Technology & Engineering

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.