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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14263
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| Title: | MAXIMIZATION OF ORGANIZATIONAL UPTIME USING AN INTERACTIVE GENETIC-FUZZY
SCHEDULING AND SUPPORT SYSTEM |
| Authors: | Stein, Roger M.
Dhar, Vasant |
| Keywords: | scheduling
genetic algorithm
fuzzy logic
constraint satisfaction problems
help desk
optimization
heuristics
graphical user interface
hybrid expert system
monotonic reasoning |
| Issue Date: | 1993 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-93-27 |
| Abstract: | This paper addresses the problem of scheduling multiple time and
priority sensitive tasks efficiently in an environment where the number
of resources is limited and the resources have varying capabilities and
restricted capacities. We use a help desk environment as our working
model, however, the methodologv could also be adapted to a variety of
job shop scheduling problems in general. We introduce a metric called
priority time usage as a measure of task urgency and of schedule
efficiency. We also introduce a method of considering user satisfaction
in scheduling by utilizing fuzzy monotonic reasoning. We propose a
methodology for implementing a heuristic genetic algorithm (GA) to
accomplish the scheduling task. We discuss how such a system can use
ongoing data about historical schedule performance to adapt and create
progressively more accurate schedules in the future. We consider
modifications to the scheduling approach which could allow for task
inter-dependencies. We present an initiative user interface which we
developed to aid help desk administrators in using the system. In
addition to providing a front end to the SOGA system, the interface
allows the user of the system to perform "what ifâ analysis
with actual schedules. Lastly, we present preliminary assessments of the
utility of both the optimization engine and the user interface. |
| URI: | http://hdl.handle.net/2451/14263 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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