Artificial Intelligence Applications in Manufacturing
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Artificial Intelligence Applications in Manufacturing

Artificial Intelligence Applications in Manufacturing


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About the Book

Table of Contents:
Part 1 Design and planning: application of machine learning to industrial planning and decision making, A. Famili and P. Turney; incorporating special purpose resource design in planning to make more efficient plans, Caroline Clarke Hayes; geometric reasoning using a feature algebra, Raghu Karinthi and Dana Nay; backward assembly planning, Sukhan Lee; symmetry groups in solid model-based assembly planning, Yanxi Liu and Robin Popplestone; an expert system approach for economic evaluation of machining operation planning, Guangming Zhang and Stephen C-Y Lu; interactive problem solving for production planning, Emilio Bertolotti; an abstraction-based search and learning approach for effective scheduling, Prasanta Bose; ADDYMS - architecture for distributed dynamic manufacturing scheduling, Jim Butler and Hideomi Ohtsubo; an architecture for real time distributed scheduling, Khosrow Hadavi et al; teamwork among intelligent agents - framework and case study in robotic service, Kaan Egilmez and Stephen H. Kim et al; exploiting local flexibility during execution of precomputed schedules, Stephen F. Smith et al. Part 2 Manufacturing integration: symbolic representation and planning for robot control systems in manufacturing, Suzanne Barber et al; an architecture for integrating enterprise automation, Jeffrey A. Barnett and Stephen P. Smith; an intelligent agent framework for enterprise integration, Jeff Y-C Pan and Jay M. Tenenbaum; integrated software system for intelligent manufacturing, Ming Rao et al; enterprise management network architecture - a tool for manufacturing enterprise integration, Michel Roboam and Mark S. Fox; design and manufacturing - integration through quality, F.H. Tusveld.

About the Author :
A. F. Famili is Research Scientist at the Knowledge Systems Laboratory of the National Research Council of Canada. Dana S. Nau an Associate Professor in the Computer Science Department at the University of Maryland. Steven H. Kim is Visiting Fellow at the Design Research Institute, Cornell University.


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Product Details
  • ISBN-13: 9780262560665
  • Publisher: MIT Press Ltd
  • Publisher Imprint: MIT Press
  • Height: 246 mm
  • No of Pages: 474
  • Spine Width: 28 mm
  • Width: 178 mm
  • ISBN-10: 0262560666
  • Publisher Date: 16 Jul 1992
  • Binding: Paperback
  • Language: English
  • Series Title: American Association for Artificial Intelligence
  • Weight: 816 gr


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