Skip to main content
main-content

Über dieses Buch

This volume is about automation - automation in design, automation in manufacturing, and automation in production. Automation is essen­ tial for increased productivity of quality products at reduced costs. That even partial or piecemeal automation of a production facility can deliver dramatic improvements in productivity has been amply demon­ strated in many a real-life situation. Hence, currently, great ef­ forts are being devoted to research and development of general as well special methodologies of and tools for automation. This volume re­ ports on some of these methodologies and tools. In general terms, methodologies for automation can be divided into two groups. There are situations where a process, whether open-loop or closed-loop, is fairly clearly understood. In such a situation, it is possible to create a mathematical model and to prescribe a mathe­ matical procedure to optimize the output. If such mathematical models and procedures are computationally tractable, we call the correspond­ ing automation - algorithmic or parametric programming. There is, however, a second set of situations which include process­ es that are not well understood and the available mathematical models are only approximate and discrete. While there are others for which mathematical procedures are so complex and disjoint that they are computationally intractable. These are the situations for which heuristics are quite suitable for automation. We choose to call such automation, knowledge-based automation or heuristic programming.

Inhaltsverzeichnis

Frontmatter

Chapter I. Computer-Aided Design

Abstract
One of the areas where algorithmic or parametric programming has made its biggest contribution is in Computer Aided Design. The traditional CAD/CAM programs simply offer a STATIC visual aid to users for the documentation of a preconceived part or assembly. No provision exists to determine the effects of desired changes on performance.
V. Kumar, M. D. German, S.-J. Lee, E. Atrek, R. Kodali, A. D. Belegundu, S. D. Rajan, Jack C. H. Chung, Joseph W. Klahs, Robert L. Cook, Thijs Sluiter, K. F. Studebaker, E. Nikolaidis, Dimitris Diamantidis, S. Thangjitham, R. A. Heller, M. Afzal, Kailash C. Kapur, Sharad Belsare, Mostafa Haririan, J. K. Paeng, Ramana V. Grandhi, Jamshid K. Moradmand, M. A. Wiseman, J. W. Hou, T. A. Houlihan, Durbha V. Murthy, Krishna Rao V. Kaza, J. T. Borggaard, Sunil Saigal, J. H. Kane, M. Stabinsky, J. B. Cardoso, J. S. Arora, M. No, S. Lopez-Linares, Agustin Tristan-Lopez, P. J. Stewart, K.-P. Beier, B. Trousse

Chapter II. Automation in Manufacturing

Abstract
Automation in manufacturing refers to putting new products into high volume production while ensuring that the parts are designed for the available manufacturing process. It requires building an integrated modeling environment, wherein part specifications, relationships, dependencies, and manufacturing processes can be defined using features or similar types of attributes.
S. K. Taneja, S. P. Rana, N. Singh, Michael D. Oliff, James Davis, Lorenzo Vicens, Jingfan Paul Yung, Hsu-Pin Ben Wang, Haiping Xu, H. Bera, R. M. Mackowiak, P. H. Cohen, R. A. Wysk, C. Goss, C.-H. Chu, P. Pan, S. P. Pequignot, A. Soom

Chapter III. Applications of Artificial Intelligence

Abstract
One of the aims of artificial intelligence has been to make machines behave intelligently as humans do. Thus the study of artificial intelligence includes the study of how humans acquire and apply knowledge, reason under uncertainty and in complex environments, and how they do planning and solve problems. Knowledge-based automation deals with the application of artificial intelligence to a production environment in order to reduce the involvement of human beings to a minimum.
Michael E. Grost, Trent Jaeger, Ming C. Leu, Dinesh K. Pai, Qiuming Zhu, A. Kusiak, M. Chen, F. M. Brown, S. S. Park, Ganapathy S. Kumar, P. H. Cohen, B. Bidanda, O. B. Arinze, Fatma Mili, Dahuan Shi, Patricia Zajko, Ali Noui-Mehidi

Chapter IV. Expert Systems

Abstract
One of the areas where artificial intelligence has made its biggest gain is Expert Systems. An expert system is a software system which displays expert behavior in a particular domain of application. A human expert is a rare commodity. The use of expert systems enables this rare commodity to be shared by many centers of demand.
Sarma R. Vishnubhotla, Gautam Biswas, Michael D. Oliff, T. Cecchin, J. Ragot, D. Sauter, M. Darouach, K. Ghosh, L. Villeneuve, N. D. Tai, Prasad K. Ramaswamy, Tin-Lup Wong, Yasuo Nagai, I. C. You, C. N. Chu, R. L. Kashyap, J. B. Cheatham, C. K. Wu, Y. C. Chen, T. F. Cleghorn, Cihan H. Dagli, Gary Leininger, Karon Barber, Ken Burridge, Dave Osterfeld

Backmatter

Weitere Informationen