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Virginia Tech

A knowledge-based system approach for dynamic scheduling

Abstract

dc:description.abstract

Scheduling is one of the most important functions in a factory and it is determining when and with what resources jobs should be accomplished. An important factor that affects the scheduling of jobs is the dynamic variation of factory status. Existing computer based scheduling systems do not address the need of making effective decisions dynamically with the variations in factory status. Traditionally, Operations Research techniques have provided an effective tool in solving manufacturing planning problems. But these methods have not been able to effectively address real time control problems in the manufacturing environment. To address some of these problems, this research investigates applying an expert system approach to develop an interactive real time dynamic scheduling system. Specifically, a knowledge base structure is developed and applied to a case study representing a two stage production system. A Blackboard concept has been utilized to organize and maintain the dynamic data base. The major knowledge representation schemes used in the system include, frame structures, relational tables, and production rules. The system was tested on a case study, by conducting a sample interactive session on a set of simulated dynamic situations. The test demonstrated the viability of implementing knowledge based systems for dynamic scheduling at the operational level of a plant.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Industrial Engineering and Operations Research
Department dc:contributor.department
Industrial Engineering and Operations Research
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1987

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Salgame, Rangnath R.
Chair dc:contributor.committeechair
  • Sarin, Subhash C.
Committee members dc:contributor.committeemember
  • Sherali, Hanif D.
  • Byler, Richard K.

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-11202012-040159
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/45907

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Salgame, Rangnath R.. A knowledge-based system approach for dynamic scheduling. masters thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45907