Artificial intelligence applications in manufacturing

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.