• 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