Using UML to develop knowledge-based system for adaptive scheduling

  • Authors:

  • Weida Wang;He Xu;Wenjian Liu

  • Affiliations:

  • School of Machatronics Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, People's Republic of China;School of Mechanic and Electric Engineering, Harbin Engineering University, Harbin, Heilongjiang, People's Republic of China;School of Machatronics Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, People's Republic of China

  • Venue:
  • CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
  • Year:
  • 2007

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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. 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.