A KNOWLEDGE-BASED ONLINE WORKFLOW SCHEDULING SYSTEM

Authors

  • S.G. Kang The University of Hong Kong
  • S.H. Choi The University of Hong Kong

Abstract

Workflow scheduling plays a vital role in advanced manufacturing, and it deserves research efforts to warrant further improvement.  This paper proposes an intelligent workflow scheduling system (iWFSS) to integrate information, processes, and knowledge into a unified framework that provides a total solution to online scheduling.  The iWFSS consists of an information system, a workflow system, and a scheduling system brought together by an integrated platform for rapid construction of domain-specific workflow scheduling systems.  A knowledge representation schema and inference algorithms are designed for scheduling decisions.

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Published

2007-09-01