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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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.
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.
Bertalanffy L. von, General system theory, George Braziller, New York 1968.
Biggart J., Dudley P., King F. eds., Alexander Bogdanov and the origins of systems thinking in Russia, Aldershot, Ashgate 1998.
Brentjes S., Zur Herausbildung der lineare Optimierung, in: “Ökonomie und Optimierung”, Lassmann W. and Schilar H. eds., Akademie Verlag, Berlin 1985, 298–330.
DE Witt D., The shaping of automation. A historical analysis of the interaction between technology and organization 1950–1958, Uitgeverij Verloren, Hilversum 1994.
Buckley W., Sociology and modern systems theory, Prentice-Hall, Englewood Cliffs, NJ 1967.
Ford L.R., Fulkerson D.R., Flows in networks, Princeton University Press, Princeton, NJ 1962.
Gloveli G., Bogdanov as Scientist and Utopian, in: “Bodganov and his work”, Biggart J., Gloveli G., Yassour A. eds., Aldershot, Ashgate 1998, 40–59.
Hounshell D., The cold war at Rand, and the generation of knowledge,Historical Studies on the Physical and Biological Sciences 27 (1997), 237–267.
Hughes Th.P., Rescuing Prometheus, Pantheon Books, New York 1998.
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.
Israel G., Ingrao B., The invisible hand, MIT Press, Cambridge MA 1990.
Israel G., La mathématisation du réel. Essai sur la modélisation mathématique, Le Seuil, Paris 1996.
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.
Israel G., Millan Gasca A., Il mondo come gioco matematico. John von Neumann, scienziato del Novecento, La Nuova Italia Scientifica, Roma 1995.
Israel G., Millan Gasca A., The biology of numbers, Birkhäuser, Basel 2002.
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.
Levin M.R. ED., Cultures of control, Harwood, Amsterdam 1999.
Koopmans T. et al., Activity analysis of production and allocation, Yale University Press, New Haven-London 1951.
Klein J., Controlling gunfires, inventories, and expectations with the exponentially weighted moving average,Mary Baldwin College, unpublished 1999.
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.
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.
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.
Mirowski P., Economics meets operations research in mid-century,Social Studies of Science 29 (1999), 685–718.
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.
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.
Simon H., The sciences of the artificial, MIT Press, Cambridge, MA 1969.
Urmantsev Y., Tektology and GST: A comparative analysis,in: Biggart et al. 1998, 237–253.
Wood M.K., Dantzig G., The programming of interdependent activities: General discussion,in: Koopmans T et al. eds. 1951, 15–18.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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