cfry@watdcsu.waterloo.edu (C.Fry - Inst. Computer Research) (09/29/88)
Knowledge Based Scheduling
by
Prof. Mark S. Fox
of
Robotics Institute and Computer Science Dept.
Carnegie Mellon University
Pittsburgh Pennsylvania 15213
Abstract
The application of Artificial Intelligence techniques to factory
scheduling and control problems is becoming wide spread. Rather
than there being a single knowledge based approach, each schedul-
ing problem poses a unique set of requirements resulting in wide-
ly varying problem solving architectures. The goal of this sem-
inar is to review the problem solving and knowledge representa-
tion techniques, used to provide both predictive and reactive
scheduling in a variety of situations, including FMS, flow and
job shops. Approaches to be reviewed include:
- mathematical programming,
- dispatch simulation,
- constraint labelling,
- expert systems,
- constraint-directed search, and
- distributed negotiation.
DATE: Friday, October 7, 1988
TIME: 10:00 a.m.
PLACE: University of Waterloo, Davis Centre, Room 1302
Everyone is welcome. Refreshments served.