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Overlapping Tendencies in Operations Research Systems Theory and Cybernetics

Proceedings of an International Symposium, University of Fribourg, Switzerland, October 14–15, 1976

  • Editors
  • Ernst Billeter
  • Michel Cuénod
  • Salomon Klaczko
Conference proceedings

Table of contents

  1. Front Matter
    Pages N2-xciv
  2. Social and Economic Systems / Systemes Sociaux et Economiques / Soziale und Oekonomische Systeme

  3. Urban and Regional Planning, Protection of the Environment / Planification Urbaine et Regionale, Protection de L’environnement / Stadt- und Regionalplanung, Umweltschutz

  4. Control of Human and Industrial Systems / Conduite de Systemes Humains et Industriels / Steuerung Betrieblicher und Industrieller Systeme

  5. Theory of Systems Analysis and of Catastrophes / Theorie de l’Analyse des Systemes et des Catastrophes / System- und Katastrophentheorie

  6. Late Papers / Textes Retardes / Verspätete Berichte

  7. Back Matter
    Pages 570-572

About these proceedings

Introduction

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).

Keywords

complex system complex systems control theory modeling operations research optimal control optimization simulation system systems theory

Bibliographic information