A Study of Self-Organization in a Production Environment

  • E. S. Tzafestas
Conference paper
Part of the Advanced Manufacturing book series (ADVMANUF)


Modern cellular manufacturing systems involve distributed environments of robots, machines, materials etc. The principal feature of such a system is that incomplete or imperfect information is given about the input flows and the interactions between parts of the system, so that it has to be adaptive to variations in input and environmental conditions. An additional wish for a cellular manufacturing organization is to be as easily reconfigurable as possible, i.e. as easy to adjust to different environments of the same type as possible [1,2,3,4,5]. For all those purposes, the system has to self-organize in order to respond to the inputs while meeting the operational constraints involved. Self-organization in a distributed environment is achieved through the use of fairly simple local, adaptive behavioral rules that have to be chosen so as to optimize if possible the overall system’s operationality, as defined by a set of objectives and/or constraints [6,7,8].


Completion Time Switching Cost Cost Matrix Service Unit Cellular Manufacturing 
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  1. 1.
    Jones PF 1992 CAD/CAM: Features, applications and management, Macmillan Press Ltd., LondonGoogle Scholar
  2. 2.
    Ranky PG 1986 Computer integrated manufacturing - An introduction with case studies, Prentice-Hall, Englewood Cliffs, NJGoogle Scholar
  3. 3.
    Wright PK, Bourne DA (eds) 1988 Manufacturing intelligence, Addison Wesley, Reading, MAGoogle Scholar
  4. 4.
    Bjørke O 1979 Computer-aided part manufacturing, Computers in Industry, (1979):3–9Google Scholar
  5. 5.
    Kusiak A 1990 Manufacturing systems: A knowledge- and optimization-based approach, Journal of Intelligent and Robotic Systems, 3:27–50CrossRefGoogle Scholar
  6. 6.
    Baldwin KE 1989 Autonomous manufacturing systems, Proceedings of the 1989 IEEE international Symposium on Intelligent Control, Albany, NY, September, pp. 214–220Google Scholar
  7. 7.
    Vaario J, Ueda K 1996 Self-Organization in Manufacturing Systems, Proceedings 1996 Japan-USA Symposium on Flexible Automation, July, Boston, MA, pp. 1481–84Google Scholar
  8. 8.
    Tzafestas ES 1998 Autonomous agents in cellular manufacturing, Advances in Intelligent Autonomous Systems, SG Tzafestas (ed), Kluwer Academic Publishers, pp. 427–438Google Scholar
  9. 9.
    Tzafestas ES 1998 Reactive robots in the service of production management, Journal of Intelligent and Robotic Systems, 21(2): 179–191MathSciNetCrossRefGoogle Scholar
  10. 10.
    Tzafestas ES 1995 Vers une systémique des agents autonomes: Des cellules, des motivations et des perturbations, Ph.D. Thesis, Università Pierre et Marie Curie, Paris, DecemberGoogle Scholar
  11. 11.
    Tzafestas ES 1994 A cellular control architecture for autonomous robots, Proceedings of the 1994 International Workshop on Intelligent Robotic Systems, Grenoble, July, pp. 70–79Google Scholar
  12. 12.
    Desrochers AA, Silva M (eds) 1994 IEEE Transactions on Robotics and Automation, Special Issue on Computer Integrated Manufacturing, 10(2), AprilGoogle Scholar

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© Springer-Verlag London Limited 1999

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  • E. S. Tzafestas

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