Knowledge-based scheduling of semiconductor testing operations

Suranjan De, Chaiho Kim, Anita Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes our ongoing efforts to develop a knowledge-based system to support planning and scheduling of semiconductor testing operations. Specifically, we present a howledge-based scheduling mechanism which is one component of the overall system still under development. We present a knowledge-based heuristic scheduling method and our computational experience with this method on well-known job shop scheduling problems. The scheduling mechanism has been implemented on a Sun Sparc station 1+ using the programming language Common Lisp.

Original languageEnglish
Title of host publicationProceedings the 11th Conference on Artificial Intelligence for Applications, CAIA 1995
Pages247-253
Number of pages7
ISBN (Electronic)0818670703, 9780818670701
DOIs
StatePublished - 1995
Event11th Conference on Artificial Intelligence for Applications, CAIA 1995 - Los Angeles, United States
Duration: Feb 20 1995Feb 23 1995

Publication series

NameProceedings the 11th Conference on Artificial Intelligence for Applications, CAIA 1995

Conference

Conference11th Conference on Artificial Intelligence for Applications, CAIA 1995
Country/TerritoryUnited States
CityLos Angeles
Period2/20/952/23/95

Bibliographical note

Publisher Copyright:
© 1995 IEEE

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Science Applications

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