Artificial Intelligence Techniques for Industrial Applications in Job Shop Scheduling

The application of AI (artificial intelligence) techniques to the scheduling of industrial production operations offers a promising new approach to a scheduling problem of great magnitude and complexity. Foremost among these techniques is a powerful knowledge representation language that is capable...

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Bibliographic Details
Main Author: Townsend,Wade Benton
Format: Report
Language:English
Subjects:
Administration and Management
Artificial intelligence
Computer applications
Computer Programming and Software
Computerized simulation
Data bases
Data processing
Frames
Heuristic methods
Industrial production
Inventory control
Jet engines
Jobs
Management planning and control
Manufacturing
Mfg & Industrial Eng & Control of Product Sys
Military applications
Production control
Programming languages
Repair
Scheduling
Shops(Work Areas)
Theses
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Summary:The application of AI (artificial intelligence) techniques to the scheduling of industrial production operations offers a promising new approach to a scheduling problem of great magnitude and complexity. Foremost among these techniques is a powerful knowledge representation language that is capable of modeling the production environment at all levels of detail. The capturing of such complexity in the data base enables the computer to generate feasible schedules from a very large solution space which are highly rated by human experts. An introduction to artificial intelligence is presented that discusses knowledge representation techniques and describes an intelligent scheduling system. The relevance of AI techniques to military industrial production operations is explored by examining the closed job shop in the contest of jet engine repair.