DocumentCode :
2108358
Title :
Knowledge-based systems for maintenance of mail processing equipment: an initial report
Author :
Shaevel, J.M. ; Glickman, F.R.
Author_Institution :
Arthur D. Little Inc., Washington, DC, USA
fYear :
1989
fDate :
27-31 Mar 1989
Firstpage :
170
Lastpage :
174
Abstract :
Since January 1987, the US Postal Service Office of Advanced Technology has been sponsoring research into the use of knowledge-based systems (KBS) for maintenance of mail processing equipment. Demonstrations presented in February 1988 have shown potential for using both KBS shells (GEN-X, KLAMShell) and standard AI (artificial intelligence) languages namely, Prolog to implement KBS to assist maintenance technicians. Demonstration systems have been created which incorporate databases and/or graphics to aid maintenance technicians in the repair of complex optical character reader/channel sorters. The authors detail the work in progress, which includes examining the potential for creating a KBS shell for maintenance of general postal equipment and examining the effects of KBS deployment on future equipment design
Keywords :
knowledge based systems; mailing systems; maintenance engineering; postal services; GEN-X; KLAMShell; US Postal Service Office of Advanced Technology; knowledge-based systems; mail processing equipment; maintenance; optical character reader/channel sorters; postal equipment; Artificial intelligence; Automation; Databases; Graphics; Knowledge based systems; Optical character recognition software; Postal services; Preventive maintenance; Sorting; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AI Systems in Government Conference, 1989.,Proceedings of the Annual
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-1934-1
Type :
conf
DOI :
10.1109/AISIG.1989.47321
Filename :
47321
Link To Document :
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