株式会社極東書店トップ商品一覧Integrated Product, Process and Enterprise Design. Softcover reprint of the original 1st ed. 1997

商品詳細

Integrated Product, Process and Enterprise Design. Softcover reprint of the original 1st ed. 1997

Integrated Product, Process and Enterprise Design. Softcover reprint of the original 1st ed. 1997

・ISBN 978-1-4613-7932-4 paper EUR 199.99

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お気に入り
著者・編者Wang, Ben (ed.),
シリーズ (Manufacturing Systems Engineering Series)
出版社 (Springer-Verlag New York Inc., US)
出版年月2012
ページ数492 pp.
言語ENG
ニュース番号<A04-80066>

解説

The need exists in the private sector and government manufacturing sites to reduce product development time, production lead times, inventory, and non-value added activities. At the same time, there is increased pressure to improve manufacturing process yields, produc- tion efficiency, and resource utilization. Much of the technology required to meet these needs already exists, but an integrated structure that can demonstrate the potential for the technology in a concurrent engineering context does not. This book provides a road map for building the integrated technology environment to evaluate existing products, manufacturing processes and system design tools. This book details innovative approaches that will significantly improve design/manufacturing technology development and deploy- ment capabilities for civilian and defense applications. These approaches are integrated product, process, and system design (IPPSD) initiatives which will greatly enhance the manufacturing competitiveness of the economy. These approaches involve the use of simulation, modeling tools and computerized virtual workstations in conjunction with a design environment which allows a diverse group of researchers, manufacturers, and suppliers to work within a comprehensive network of shared knowledge. The IPPSD infrastructure consists of virtual workstations, servers and a suite of simulation, quantitative, computa- tional, analytical, experimental and qualitative tools. Such an IPPSD infrastructure will permit effective and efficient predictions of complete product design, manufacturing proces design, and customer satisfac- tion.