Overlapping Tendencies in Operations Research Systems Theory and Cybernetics Proceedings of an International Symposium, University of Fribourg, Switzerland, October 14-15, 1976.

Billeter, Ernst / Cuénod, Michel / Klaczko, Salomon (Ed.).

ISBN 10: 3764308931 / ISBN 13: 9783764308933

Editore: Basel [u.a.], Birkhäuser Verlag, 1976., 1976

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Gr.-8°. 83, 569 Seiten. Ausgabe Birkhäuser Verlag (1976). 83, 569 Seiten. Titelbedruckter, illustrierter Original-Kartonband. Bibliotheks-Exemplar (Bibliotheks-Etikett auf dem Buchrücken). Innen gutes, sauberes Exemplar. Kein Besitzervermerk! Keine Anstreichungen! Kein Mängelexemplar! Einband fachmännisch mit transparenter, selbstklebender Folie eingeschlagen. ('Interdisziplinäre Systemforschung / Interdisciplinary Systems Research', Band 32).

Codice articolo 25712BB

Dati bibliografici

• Titolo: Overlapping Tendencies in Operations Research Systems Theory and Cybernetics Proceedings of an International Symposium, University of Fribourg, Switzerland, October 14-15, 1976.
• Editore: Basel [u.a.], Birkhäuser Verlag, 1976.
• Data di pubblicazione: 1976
• Lingua: Inglese
• ISBN 10: 3764308931
• ISBN 13: 9783764308933
• Rilegatura: Brossura
• Cataloghi dei venditori:
  • Technik - Technics

Descrizione articolo

Riassunto

0.1 Gaps in Optimizing A comparison of the levels of development of Operations Research, Simulation Technique and Optimal Control Theory appears to gain increasing interest. Operations Research Sciences achieved very high mathematical standards and solved a great amount of important optimization problems, mainly at the level of management of private corporation and civil or military government tasks, however, these achievements are seldom incorporated in the mathematical curriculum of modern universities. Nevertheless, Operations Research seems to have failed in solving long range or strategical problems as they arise in any broader social, economical or political context (MUller-Merbach, 1976). Also for the weakest task, namely that of improving theory building, system simulation works as an optimization tool. Simulation models of large complex systems, like socio­ economical or political ones, failed until now to fit large empirical data bases. This was, in fact, one of the few serious objections against the form in which Forrester solved some problems modelling and simulating urban and world de­ velopments (Forrester, 1969; Forrester, 1971; IEEE-SCC October 197o; IEEE-SMC April 1972; Mass, 1974; Schroeder, 1975).