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Manufacturing Systems

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Self-Evolvable Systems

Part of the book series: Understanding Complex Systems ((UCS))

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The development of manufacturing systems from fixed to flexible, reconfigurable and self-evolvable systems with reference to assembly operations is outlined.

The perspectives of polytopic models for self-manufacturing are evaluated.

Informational entropy criteria are used to evaluate manufacturing strategies and to characterize supply chain networks.

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References

  • Battini, D., Persona, A., Allesina, S.: Towards a use of network analysis: quantifying the complexity of Supply Chain Networks. International Journal of Electronic Customer Relationship Management 1(1), 75–90 (2007)

    Article  Google Scholar 

  • Beer, S.: Diagnosing the System. J. Wiley, Chichester (1985)

    Google Scholar 

  • Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: A new scientific discipline. J. Intelligent Manufacturing 16(4-5), 439–452 (2005)

    Article  Google Scholar 

  • Frei, R., Barata, J., Di Marzo Serugendo, G.: A Complexity Theory Approach to Evolvable Production Systems. In: Sapaty, P., Filipe, J. (eds.) Proceedings of the International Workshop on Multi-Agent Robotic Systems (MARS 2007), pp. 44–53. INSTICC Press, Portugal (2007)

    Google Scholar 

  • Frizelle, G., Suhov, Y.M.: An entropic measurement of queueing behaviour in a class of manufacturing operations. Proceedings of the Royal Society London 457, 1579–1601 (2001)

    Article  MATH  Google Scholar 

  • Gino, F.: Complexity measures in decomposable structures. Technical report. EURAM (European Academy of Management), Conference on Innovative Research in Management, May 9-11, Stockholm, Sweden (2002)

    Google Scholar 

  • Hu, B., Efstathiou, J.: Responsive system based on a reconfigurable structure. In: Pham, D.T., Eldukhri, E.E., Soroka, A.J. (eds.) 2nd I*PROMS Virtual Conference on Intelligent Production Machines and Systems, pp. 517–522 (2007)

    Google Scholar 

  • Iordache, O.: Evolvable Designs of Experiments Applications for Circuits. J. Wiley VCH, Weinheim (2009)

    Book  Google Scholar 

  • Karp, A., Ronen, B.: Improving shop floor control: An entropy model approach. International Journal of Production Research 30(4), 923–938 (1992)

    Article  MATH  Google Scholar 

  • Kauffman, S.A.: The Origins Of Order: Self Organisation and Selection in Evolution. Oxford University Press, New York (1993)

    Google Scholar 

  • Leitão, P., Restivo, F.: ADACOR: A Holonic Architecture for Agile and Adaptive Manufacturing Control. Computers in Industry 57(2), 121–130 (2006)

    Article  Google Scholar 

  • Lohse, N., Valtchanov, G., Ratchev, S., Onori, M., Barata, J.: Towards a Unified Assembly System Design Ontology using Protégé. In: Proceedings of the 8th Intl. Protégé Conference, Madrid, Spain (2005)

    Google Scholar 

  • McCarthy, I.P.: Technology management ± a complex adaptive systems approach. International Journal of Technology Management 25(8), 728–745 (2003)

    Article  Google Scholar 

  • McCarthy, I.P.: Manufacturing Strategy—Understanding the Fitness Landscape. International Journal of Operations and Production Management 24(2), 124–150 (2004)

    Article  Google Scholar 

  • Mun, J., Ryu, K., Jung, M.: Self-reconfigurable software architecture: design and implementation. In: Proc. 33rd Int. Conf. Computers Industrial Engineering, Jeju, Korea, March 25-27, vol. CIE569 (2004)

    Google Scholar 

  • Onori, M.: Evolvable Assembly Systems-A New Paradigm. In: IST 2002-33rd International Symposium on Robotics, Stockholm, pp. 617–621 (2002)

    Google Scholar 

  • Onori, M., Barata, J., Frei, R.: Evolvable Assembly System Basic Principles. BASYS Niagara Falls, Canada (2006)

    Google Scholar 

  • Ryu, K., Jung, M.: Agent-based fractal architecture and modeling for developing distributed manufacturing systems. Int. J. Prod. Res. 41(17), 4233–4255 (2003)

    Article  Google Scholar 

  • Wang, H., Efstathiou, J., Yang, J.-B.: Entropy-based Complexity Measures for Dynamic Decision Processes. Dynamics of Continuous Discrete and Impulsive Systems Series B: Applications & Algorithms 12, 829–848 (2005)

    MathSciNet  MATH  Google Scholar 

  • Yolles, M.I.: Organisations as Complex Systems: An Introduction to Knowledge Cybernetics. Information Age Publishing, Inc., Greenwich (2006)

    Google Scholar 

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Correspondence to Octavian Iordache .

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Iordache, O. (2012). Manufacturing Systems. In: Self-Evolvable Systems. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28882-1_9

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