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Part of the book series: Advanced Manufacturing ((ADVMANUF))

Abstract

The concept. The concept of Balanced Automation tries to capture the idea of appropriate level of automation when considering the current challenges for flexibility, quality improvement and productivity, but taking into account the socioeconomic context as well as the local traditions and skills. Most international efforts in search for new manufacturing paradigms have put too much emphasis on the technical aspects of automation, i.e., follow a technocentric approach. As a reaction, but still with lesser impact, the concept of Anthropocentric Manufacturing focuses the human-centered aspects. Both approaches are limited. A Balanced Automation System (BAS) aims the combination with adequate weights of, not only these two approaches, but considering also the economic aspects, the integration/migration of legacy systems and the full heritage of the enterprise, namely in terms of established know how and traditional skills.

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References

  1. Masi, C.G.-Re-Engineering Engineering Education, IEEE Spectrum, Sept 1995.

    Google Scholar 

  2. Geppert, L.-Educating the Renaissance Engineer, IEEE Spectrum, Sept 95.

    Google Scholar 

  3. ASEE — Engineering Education for a Changing World, American Society for Engineering Education, Oct 94.

    Google Scholar 

  4. Kovacs, I.; Brandão Moniz, A. — Issues on the anthropocentric production systems, Balanced Automation Systems: Architectures and Design Methods, L.M. Camarinha-Matos, H. Afsarmanesh (Eds.), Chapman & Hall, 1995.

    Google Scholar 

  5. Roshardt, R.; Uhrhan, C.; Waefler, T.; Weik, S.-A complementary Approach to Flexible Automation, in Balanced Automation Systems: Architectures and Design Methods, L.M. Camarinha-Matos, H. Afsarmanesh (Eds.), Chapman & Hall, 1995.

    Google Scholar 

  6. T. Guimaraes — Reengineering Manufacturing Organizations: Benefits, Problems and Success Factors, Communication to 5th Portuguese Conference on Computer Aided Design, Planning and Production, Guimaraes, Portugal, May 1995.

    Google Scholar 

  7. CEN TC310 WG 1 — An evaluation of CIM modelling constructs — Evaluation report for views according to ENV 40 003, Computers in Industry, Vol. 24, N. 2–3, Sep 94.

    Google Scholar 

  8. Esprit Consortium AMICE (1989) Open System Architecture for CIM, Springer-Verlag.

    Google Scholar 

  9. Schenck, D.; Wilson, P. (1994), Information Modeling the EXPRESS Way, Oxforf University Press, New York.

    Google Scholar 

  10. Ross, D.T.-Structured Analysis (SA): A Language for communicating ideas, IEEE Trans. on Software Engineering, vol SE 3, N.1, Jan 77.

    Google Scholar 

  11. Peterson, J. — Petri net theory and the modelling of systems, Prentice-Hall, 81.

    Google Scholar 

  12. Williams, T. — The Purdue Enterprise Reference Architecture, Computers in Industry, Vol 24, N. 2–3, Sep 94.

    Google Scholar 

  13. Bernus, P., Nemes, L. — A framework to define a generic enterprise reference architecture and methodology, CSIRO, Australia, 1995.

    Google Scholar 

  14. Colombo, A.W.; Carelli, R. — Petri Nets for Designing Manufacturing Systems, a chapter in this book.

    Google Scholar 

  15. Miyagi, P.; Camarinha-Matos, L.M.; Santos, D.; Barata, J.; Arakaki, J. — The application of enhanced Mark Flow Graph in Real Time Control Systems, Proc. IFAC Conf. on Low Cost Automation, Buenos Aires, Sep 95.

    Google Scholar 

  16. Barata, J.; Camarinha-Matos, L.M.; Colombo, W.; Carelli, R.-Integration of OOP and Petri Nets for Discrete Event Supervision and Simulation in Balanced Automation Systems: Architectures and Design Methods, L.M. Camarinha-Matos, H. Afsarmanesh (Eds.), Chapman & Hall, 1995.

    Google Scholar 

  17. Hasegawa, K.; et al, 1984, “Proposal of Mark Flow Graph for Discrete System Control”, Transactions of the SICE; SICE, Vol 20 N 2, Japan.

    Google Scholar 

  18. Santos F°, D.J.-Proposal of Enhanced Mark Flow Graph for Modeling and Control of Integrated Manufacturing Systems, Master Thesis, University of São Paulo — Escola Politécnica, São Paulo, SP, Brazil (in Portuguese).

    Google Scholar 

  19. Silva, M.; R. Vallete, Petri Nets and Flexible Manufacturing, in Advances in Petri Nets. 1989, p. 374–417.

    Google Scholar 

  20. Zhou, M., F. DiCesare, and A. Desrochers, A Hybrid Methodology for Synthesis of Petri Net Modells for Manufacturing Systems, in IEEE Transactions on Robotics and Automation 1992, p. 350–361.

    Google Scholar 

  21. David, R. and H. Alla, Petri Nets for Modelling of Dynamic Systems — A Survey, in Automatica — IFAC 1994, p. 175–202.

    Google Scholar 

  22. Murata, T., Petri Nets: Properties, Analysis and Applications, in Proceedings of the IEEE 1989, p. 541–580.

    Google Scholar 

  23. Camarinha-Matos, L.M.; Osório, A.L. — Monitoring and Error Recovery in Assembly Tasks, 23rd ISATA — Int. Symp. on Automotive Technology and Automation, Vienna, Austria, Nov. 90.

    Google Scholar 

  24. Barata, J. and L.M. Camarinha-Matos. Dynamic Behaviour Objects in Modelling Manufacturing Processes. in CAPE’95 — The Fifth International Conference on Computer Applications in Production and Engineering. 1995. Beijing — China.

    Google Scholar 

  25. Seabra Lopes, L.; Camarinha-Matos, L.M. — Inductive generation of diagnostic knowledge for autonomous assembly, Proc. IEEE Robotics and Automation, Nagoya, Japan 21–27 May 95.

    Google Scholar 

  26. Seabra Lopes, L.; Camarinha-Matos, L.M. — A Machine Learning Approach to Error Detection and Recovery in Assembly, IROS’95: IEEE/RSJ International Conference on Intelligent Robots and Systems, Pittsburgh, USA, August 1995.

    Google Scholar 

  27. Rabelo, R.; Camarinha-Matos, L.M. — “HOLOS: a methodology for deriving scheduling systems”, Balanced Automation Systems: Architectures and Design Methods, Eds. L.M. Camarinha-Matos and H. Afsarmanesh, Chapman & Hall, 1995.

    Google Scholar 

  28. Rabelo, R.; Camarinha-Matos, L.M. — “Deriving Particular Agile Scheduling Systems using the HOLOS Methodology”, International Journal in Informatics and Control, Vol 5 N 2, Jun 1996.

    Google Scholar 

  29. Huhns, M., editor — “Distributed Artificial Inteligence”, Pitman Publishing / Morgan Kaufmann Publishers, San Mateo, CA, 1987.

    Google Scholar 

  30. Davis, Randall; Smith, Reid — “Negotiation as a Metaphor for Distributed Problem Solving”, Artificial Intelligence, N 20, pp.63–109, 1983.

    Google Scholar 

  31. Ge, Qing; Findler, N. — “Distributed Planning and Control for Manufacturing Operations”, Lecture Notes in Artificial Intelligence, Eds. C. J. Barter & M. Brooks, Springer-Verlag, 1988.

    Google Scholar 

  32. McLean, C. R.; Bloom, H.M.; Hopp, T.H. — “The Virtual Manufacturing Cell”, Proceedings 4th IFAC/IFIP Conference on Information Control Problems in Manufacturing Technology, Maryland, USA, Oct 1982.

    Google Scholar 

  33. Drolet, J; Montreuil, B.; Moodie, C. — “Decision Architecture for Scheduling Virtual Cellular Manufacturing Systems”, IFAC/IFIP Int. Workshop on Decisional Structures in Automated Manufacturing, Italy, 1989.

    Google Scholar 

  34. Chryssolouris, George — Manufacturing Systems: Theory and Practice, Springer-Verlag, NY, 1992.

    Google Scholar 

  35. Dietrich, B. — “Automation in Manufacturing, Control vs Chaos”, Advances in Agile Manufacturing, Ed. P.T. Kidd and W. Karwowski, IOS Press, 1994.

    Google Scholar 

  36. Rabelo, R.; Camarinha-Matos, L.M. — “A Holistic Control Architecture Infrastructure for Dynamic Scheduling”, Artificial Intelligence in Reactive Scheduling, Eds. Roger Kerr and Elizabeth Szelke, Chapman & Hall, 1995.

    Google Scholar 

  37. Rabelo, R.; Camarinha-Matos, L.M. — “Generation of Multi-Agent Infrastructures for Dynamic Scheduling and Control Architectures”, Proceedings 27th ISATA / Conference on Lean/Agile Manufacturing in the Automotive Industries, Germany, 1994.

    Google Scholar 

  38. Jones, B. — “Essential Cultural Aspects, Strategies and Techniques — A Comparative View of Work Technology and Flexible Production”, in Flexible Manufacturing Systems and Work Reorganization [in Portuguese], Ed. by Ilona Kovács at all, Portugal, 1992.

    Google Scholar 

  39. Rabelo, R.; Camarinha-Matos, L.M. — “Negotiation in Multiagent Based Dynamic Scheduling”, Journal on Robotics and Computer Integrated Manufacturing, Vol 11 N 4, Dec 1994, Pergamon.

    Google Scholar 

  40. KQML — Knowledge Query and Manipulation Language, ARPA Knowledge Sharing Effort Project, USA.

    Google Scholar 

  41. Fowler, J. — “Proposal for the STEP Data Access Interface Specification”, STEP Implementation Specifications Committee, MST, Jan 1992.

    Google Scholar 

  42. Hirsh, B., Kuhlmann, T., Marciniak, Z. — “Engineering Tool-Kit for Implementation of Shop Floor Control Systems”, Proc. IFIP WG5.7 Conf. on Eval. of Product. Manag. Methods, Gramado, Brazil, Mar 1994.

    Google Scholar 

  43. Smith, S. — “Configurable Systems for Reactive Production Management”, Proceedings KBRS’93 — Knowledge-Based Reactive Scheduling IFIP Workshop, Eds. E. Szelke, R. Kerr, MP North-Holland, 1994.

    Google Scholar 

  44. Szelke, E.; Kerr, R. — “Knowledge-Based Reactive Scheduling”, Int. Journal of Production Planning & Control, Vol 5 N 2, Taylor & Francis, 1994.

    Google Scholar 

  45. STEP, ISO — Reference Manual, ISO/TC 184 /SC4.

    Google Scholar 

  46. Camarinha-Matos, L.; Sastron, F. — Information Integration for CIM planning tools, CAPE’91 —4th IFIP Confernce on Computer Applications in Production and Engineering, Bordeaux, 10–12 Sep, 1991.

    Google Scholar 

  47. Camarinha-Matos, L.M.; Osório, A. L. — CIM Information Management System: An Express-based integration platform, IFAC Workshop on CIM in Processes and Manufacturing Industries, Espoo, Finland — published by Pergamon Press.

    Google Scholar 

  48. Klein, M. — iDCSS: Integrating Workflow, Conflict and Rationale-Based Concurrent Engineering Coordination Technologies, Boeing Computer Services, Journal of Concurrent Engineering Research and Applications, vol. 3, N. 1, Jan 95.

    Google Scholar 

  49. Osório, A.L.; Camarinha-Matos, L.M. — Support for Concurrent Engineering in CIM-FACE,Balanced Automation Systems: Architectures and Design Methods, L.M. Camarinha-Matos, H. Afsarmanesh (Eds.), Chapman & Hall, 1995.

    Google Scholar 

  50. Brown, J. — The extended enterprise — manufacturing and the value chain, in Balanced Automation Systems: Architectures and Design Methods, L.M. Camarinha-Matos, H. Afsarmanesh (Eds.), Chapman & Hall, 1995.

    Google Scholar 

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© 1997 Springer-Verlag London Limited

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Camarinha-Matos, L.M., Rabelo, R., Osório, L. (1997). Balanced Automation. In: Tzafestas, S.G. (eds) Computer-Assisted Management and Control of Manufacturing Systems. Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-0959-4_14

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  • DOI: https://doi.org/10.1007/978-1-4471-0959-4_14

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76110-5

  • Online ISBN: 978-1-4471-0959-4

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