Accession Number : ADA132164

Title :   Artificial Intelligence Techniques for Industrial Applications in Job Shop Scheduling.

Descriptive Note : Master's thesis,


Personal Author(s) : Townsend,Wade Benton

PDF Url : ADA132164

Report Date : Jun 1983

Pagination or Media Count : 48

Abstract : 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.

Descriptors :   *Artificial intelligence, *Computer applications, *Scheduling, *Industrial production, Jobs, Shops(Work Areas), Production control, Management planning and control, Programming languages, Computerized simulation, Data bases, Data processing, Inventory control, Manufacturing, Heuristic methods, Frames, Military applications, Repair, Jet engines, Theses

Subject Categories : Administration and Management
      Computer Programming and Software
      Mfg & Industrial Eng & Control of Product Sys

Distribution Statement : APPROVED FOR PUBLIC RELEASE