Penalty function-based hybrid shop floor control system

Xiaobing Zhao, Young Jun Son

Research output: Contribution to conferencePaperpeer-review


Varying degrees of autonomy of subordinate agents and their effects to the global performance have not been studied. In this paper, a new hybrid control architecture is proposed with the capability of dynamic update of autonomy of agents. The key feature is the penalty function, which indicates the degree of negative impact of changing the original schedule on the global performance. The penalty function is used by subordinate agents in their quick revision of schedules to react to a disturbance without degrading the global performance. We present math programming formulations, metrics for disturbances and autonomy, and illustration using an example.

Original languageEnglish (US)
Number of pages7
StatePublished - 2004
EventIIE Annual Conference and Exhibition 2004 - Houston, TX, United States
Duration: May 15 2004May 19 2004


OtherIIE Annual Conference and Exhibition 2004
Country/TerritoryUnited States
CityHouston, TX


  • Agent technology
  • Autonomy
  • Hybrid control
  • Penalty function
  • Scheduling

ASJC Scopus subject areas

  • General Engineering


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