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Knowledge‐based systems for maintenance
Author(s) -
Luxhoj James T.,
Tao Pen C.
Publication year - 1994
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.1002/j.1551-8833.1994.tb06223.x
Subject(s) - scheduling (production processes) , computer science , crew , operations research , engineering , operations management , aeronautics
A prototype knowledge‐based system, a form of artificial intelligence, was developed to aid human workers in identifying and scheduling maintenance jobs. A knowledge‐based system (KBS) is useful as a management tool for crew scheduling and site preparation to enhance productivity of maintenance operations for a water distribution system. It aids in identifying tasks and their expected durations, precedence relationships, and requirements for materials, tools, and labor. A prototype KBS is developed that codifies knowledge from field experts for planning maintenance operations for a water distribution system. This case study from Hackensack (N.J.) Water Company examines the influence of weather, traffic, leak severity, and the presence of other utility connections on planning repair operations for joint leaks.