Overview
- Editors:
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Ben Wang
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Dept of Industrial Engineering, FAMU-FSU College of Engineering, USA
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Table of contents (15 chapters)
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- Ben Wang, Kerang Han, Julie Spoerre, Chun Zhang
Pages 1-20
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- Kwang Jae Kim, Herbert Moskowitz
Pages 64-89
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- Layek Abdel-Malek, Nutthapol Asadathorn
Pages 90-116
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- Ronald G. Askin, John S. Ramberg, Manbir Sodhi
Pages 145-192
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- Brian K. Paul, Clayton O. Ruud
Pages 193-242
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- Thu-Hua Liu, Chun Chuck Zhang, Gary W. Fischer, Hsu-Pin Ben Wang
Pages 243-265
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- Hong C. Zhang, Daguang Zhang
Pages 342-391
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- Jason T. Yien, Mitchell M. Tseng
Pages 392-434
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- P. A. Farrington, J. J. Swain, S. L. Messimer
Pages 435-464
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- Andrew Kusiak, Armen Zakarian
Pages 465-482
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Back Matter
Pages 483-492
About this book
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.
Editors and Affiliations
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Dept of Industrial Engineering, FAMU-FSU College of Engineering, USA
Ben Wang
