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A Study of System Nervousness in Multi-agent Manufacturing Control System

  • Hadeli
  • Paul Valckenaers
  • Paul Verstraete
  • Bart Saint Germain
  • Hendrik Van Brussel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3910)

Abstract

This paper discusses a study on system nervousness in a multi-agent manufacturing control system. Manufacturing control systems, built along this approach, are able to generate short-term forecasts that predict both resource loads and order routings. These forecasts become known throughout the multi-agent system with some time delay. If the agents make their decisions based on these forecasts, proper measures need to be taken to account for these delays, especially when disturbances (rush orders, machine breakdowns) occur. If agents react too eagerly and swiftly, the forecasts become unreliable. This paper studies this issue and the measures in the control system design that address the problem. More precisely, the agents behave in a socially acceptable manner that reconciles adaptation to changed circumstances with predictability.

Keywords

Resource Agent Machine Breakdown Forecast Information Solution List Order Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hadeli
    • 1
  • Paul Valckenaers
    • 1
  • Paul Verstraete
    • 1
  • Bart Saint Germain
    • 1
  • Hendrik Van Brussel
    • 1
  1. 1.MACC, PMA Division, Department of Mechanical EngineeringK.U. LeuvenLeuvenBelgium

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