Self-organized Holonic Manufacturing Systems Combining Adaptation and Performance Optimization

  • José Barbosa
  • Paulo Leitão
  • Emmanuel Adam
  • Damien Trentesaux
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 372)


Traditional manufacturing solutions, based on centralized structures, are ineffective in unpredictable and volatile scenarios. Recent manufacturing paradigms, such as Holonic Manufacturing Systems, handle better these unpredictable situations but aren’t able to achieve the performance optimization levels displayed by the classical centralized solutions when the system runs without perturbations. This paper introduces a holonic manufacturing architecture that considers biological insights, namely emergence and self-organization, to achieve adaptation and responsiveness without degrading the performance optimization. For this purpose, self-organization and self-learning mechanisms embedded at micro and macro levels play an important role, as well the design of stabilizers to control the system nervousness in such dynamic and adaptive behaviour.


Self-organization Holonic Manufacturing Systems Distributed Production Control Bio-inspired engineering 


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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • José Barbosa
    • 1
    • 2
    • 3
  • Paulo Leitão
    • 1
    • 4
  • Emmanuel Adam
    • 3
    • 5
  • Damien Trentesaux
    • 2
    • 3
  1. 1.Polytechnic Institute of BragançaBragançaPortugal
  2. 2.Univ. Lille Nord de FranceLilleFrance
  3. 3.TEMPO Research CenterUVHCValenciennesFrance
  4. 4.Artificial Intelligence and Computer Science LaboratoryLIACCPortoPortugal
  5. 5.LAMIHUVHCValenciennesFrance

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