Development of knowledge-based system for adaptive scheduling using unified modeling language

Wang Weida*, Liu Xinhua, Liu Wenjian

*Corresponding author for this work

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

Abstract

It is one of the most important issues that constructing better knowledge-based system (KBS) to fulfill an efficient adaptive scheduling to complex manufacturing system. A method for developing and documenting the KBS for adaptive scheduling, using the Unified Modeling Language (UML) is presented. It employed UML to describe the system analysis, system design and system implementation of KBS, so various views were built up to explore the static structure and dynamic behavior of KBS. It also utilized the Object Constraint Language (OCL) to illustrate exactly constraints of the class. This method alleviates the highly dependent on domain knowledge experts. The quality and efficiency of the KBS are improved. Finally a case is given to validate the feasibility and reliability of the proposed approach.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Control and Automation, ICCA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages914-918
Number of pages5
ISBN (Print)1424408180, 9781424408184
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Control and Automation, ICCA - Guangzhou, China
Duration: 30 May 20071 Jun 2007

Publication series

Name2007 IEEE International Conference on Control and Automation, ICCA

Conference

Conference2007 IEEE International Conference on Control and Automation, ICCA
Country/TerritoryChina
CityGuangzhou
Period30/05/071/06/07

Keywords

  • Adapative scheduling
  • KBS
  • OCL
  • UML

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