Skip to main content

Early Approaches to the Management of Complexity in Engineering Systems

  • Chapter
Book cover Determinism, Holism, and Complexity
  • 170 Accesses

Abstract

The evolution of large artificial systems essentially underpins modern systems thinking and the ideas on complexity. A key contribution of industrial engineering to this intellectual process is the consideration of organizational problems and the development of the corresponding management technologies, eventually based on mathematical models. This kind of problems lie at the crossroads of engineering and the human and social sciences. From the first attempts to quantify labour and production, to 20th century operations research, an interdisciplinary evolution took place regarding ideas such as optimization, decision making, and control. Discussions on the use of quantitative and mathematical instruments in this context played an important role.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Babbage Ch., The economy of machines and manufactures, 1832, in: “The works of Charles Babbage”, vol. 8, Campbell-Kelly M. ed., New York University Press, New York 1989.

    Google Scholar 

  2. Bayart D., Crépel P., Statistical control of manufacture, in: “Companion Encyclopaedia of the History and Philosophy of the Mathematical Sciences”, vol. II, I. Grattan Guinness ed., Routledge, London 1994, 1386–1391.

    Google Scholar 

  3. Bertalanffy L. von, General system theory, George Braziller, New York 1968.

    Google Scholar 

  4. Biggart J., Dudley P., King F. eds., Alexander Bogdanov and the origins of systems thinking in Russia, Aldershot, Ashgate 1998.

    Google Scholar 

  5. Brentjes S., Zur Herausbildung der lineare Optimierung, in: “Ökonomie und Optimierung”, Lassmann W. and Schilar H. eds., Akademie Verlag, Berlin 1985, 298–330.

    Google Scholar 

  6. DE Witt D., The shaping of automation. A historical analysis of the interaction between technology and organization 1950–1958, Uitgeverij Verloren, Hilversum 1994.

    Google Scholar 

  7. Buckley W., Sociology and modern systems theory, Prentice-Hall, Englewood Cliffs, NJ 1967.

    Google Scholar 

  8. Ford L.R., Fulkerson D.R., Flows in networks, Princeton University Press, Princeton, NJ 1962.

    Google Scholar 

  9. Gloveli G., Bogdanov as Scientist and Utopian, in: “Bodganov and his work”, Biggart J., Gloveli G., Yassour A. eds., Aldershot, Ashgate 1998, 40–59.

    Google Scholar 

  10. Hounshell D., The cold war at Rand, and the generation of knowledge,Historical Studies on the Physical and Biological Sciences 27 (1997), 237–267.

    Google Scholar 

  11. Hughes Th.P., Rescuing Prometheus, Pantheon Books, New York 1998.

    Google Scholar 

  12. Hughes Th.P., Hughes A. eds., Systems, experts, and computers: The systems approach in management and engineering, World War I and after, MIT Press, Cambridge MA 2000.

    Google Scholar 

  13. Israel G., Ingrao B., The invisible hand, MIT Press, Cambridge MA 1990.

    Google Scholar 

  14. Israel G., La mathématisation du réel. Essai sur la modélisation mathématique, Le Seuil, Paris 1996.

    Google Scholar 

  15. Israel G., The two faces of mathematical modelling: objectivism vs subjectivism, simplicity vs complexity, in: “The application of mathematics to the sciences of nature”, P. Cerrai, P. Freguglia and C. Pellegrini eds., Kluwer Academic/Plenum Publishers, New York 2002, 233–243.

    Google Scholar 

  16. Israel G., Millan Gasca A., Il mondo come gioco matematico. John von Neumann, scienziato del Novecento, La Nuova Italia Scientifica, Roma 1995.

    Google Scholar 

  17. Israel G., Millan Gasca A., The biology of numbers, Birkhäuser, Basel 2002.

    Book  Google Scholar 

  18. Lenstra J.K., RINNOOY KAN A.H.G., Schrijver A. eds., History of mathematical programming. A collection of personal reminiscences, CWI/North Holland, Amsterdam 1991.

    Google Scholar 

  19. Levin M.R. ED., Cultures of control, Harwood, Amsterdam 1999.

    Google Scholar 

  20. Koopmans T. et al., Activity analysis of production and allocation, Yale University Press, New Haven-London 1951.

    Google Scholar 

  21. Klein J., Controlling gunfires, inventories, and expectations with the exponentially weighted moving average,Mary Baldwin College, unpublished 1999.

    Google Scholar 

  22. Lucertin M., Facing complexity in the management of organized systems,in: “Mathematical models and technological methods in modern engineering systems”, Lucertini M., Millân Gasca A. and Nicolò F. eds., Birkhäuser, Basel, forthcoming.

    Google Scholar 

  23. Lundgreen P., Engineering Education in Europe and the U.S.A. (1750–1930): The Rise to Dominance of School Culture and the Engineering Professions,Annals of Science 47 (1990), 33–75.

    Google Scholar 

  24. Millan Gasca A., Organization and mathematics: a look into the prehistory of industrial engineering,in: “Mathematical models and technological methods in modern engineering systems”, Lucertini M., Millân Gasca A. and Nicolò F. eds., Birkhäuser, Basel, forthcoming.

    Google Scholar 

  25. Mirowski P., Economics meets operations research in mid-century,Social Studies of Science 29 (1999), 685–718.

    Google Scholar 

  26. Rider R., Operational research, in: “Companion Encyclopaedia of the History and Philosophy of the Mathematical Sciences”, vol. I, I. Grattan Guinness ed., Routledge, London 1994, 837–842.

    Google Scholar 

  27. Rider R., Operations research and game theory: early connections, in: “Toward a history of game theory”, Weintraub E.R. ed., Duke University Press, Durham, NC 1992, 225–239.

    Google Scholar 

  28. Simon H., The sciences of the artificial, MIT Press, Cambridge, MA 1969.

    Google Scholar 

  29. Urmantsev Y., Tektology and GST: A comparative analysis,in: Biggart et al. 1998, 237–253.

    Google Scholar 

  30. Wood M.K., Dantzig G., The programming of interdependent activities: General discussion,in: Koopmans T et al. eds. 1951, 15–18.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media New York

About this chapter

Cite this chapter

Gasca, A.M. (2003). Early Approaches to the Management of Complexity in Engineering Systems. In: Benci, V., Cerrai, P., Freguglia, P., Israel, G., Pellegrini, C. (eds) Determinism, Holism, and Complexity. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4947-2_32

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-4947-2_32

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-3394-2

  • Online ISBN: 978-1-4757-4947-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics