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The Epistemologies of Non-Forecasting Simulations, Part I: Industrial Dynamics and Management Pedagogy at MIT

Published online by Cambridge University Press:  01 June 2009

William Thomas
Affiliation:
Center for History of Physics, American Institute of Physics, College Park, Maryland
Lambert Williams
Affiliation:
Harvard University and Max-Planck-Institut für Wissenschaftsgeschichte, Berlin

Argument

This paper is the first part of a two-part examination of computer modeling practice and philosophy. It discusses electrical engineer Jay Forrester's work on Industrial Dynamics, later called System Dynamics. Forrester developed Industrial Dynamics after being recruited to the newly-established School of Industrial Management at the Massachusetts Institute of Technology (MIT), which had been seeking a novel pedagogical program for management for five years before Forrester's arrival. We argue that Industrial Dynamics should be regarded in light of this institutional context. Unlike economics, as well as operations research and management science (twin fields which were also gaining traction at that time), Industrial Dynamics was not meant to be applied by mathematicians and technical specialists in consultation with managers, but by managers themselves. This concern shifted the emphasis in modeling from the specialist act of analysis of a crucial problem to the managerial act of choosing which problems were crucial and developing effective policies around them.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2009

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References

Akera, Atsushi. 2007. Calculating a Natural World: Scientists, Engineers, and Computers during the Rise of U.S. Cold War Research. Cambridge, Mass.: MIT Press.Google Scholar
Armatte, Michel, and Dalmedico, Amy Dahan. 2004. “Modèles et modélisations, 1950–2000: Nouvelles pratiques, nouveaux enjeux.” Revue d'Histoire des Sciences 57:245305.Google Scholar
Arrow, Kenneth J., Harris, Theodore, and Marschak, Jakob. 1951. “Optimal Inventory Policy.” Econometrica 19:250272.CrossRefGoogle Scholar
Bloomfield, Brian P. 1986. Modelling the World: The Social Construction of Systems Analysts. New York: Blackwell.Google Scholar
Brown, Gordon S. 1955. “Educating Electrical Engineers to Exploit Science.” Electrical Engineering 74:110115.CrossRefGoogle Scholar
Churchman, C. West. 1994. “Management Science: Science of Managing and Managing of Science.” Interfaces 24:99110.CrossRefGoogle Scholar
Collins, Martin J. 2002. Cold War Laboratory: RAND, the Air Force, and the American State, 1945–1950. Washington, D.C.: Smithsonian Institution Press.Google Scholar
Cooper, W. W. 1951. “A Proposal for Extending the Theory of the Firm.” Quarterly Journal of Economics 65:87109.CrossRefGoogle Scholar
Crowther-Heyck, Hunter. 2005. Herbert A. Simon: The Bounds of Reason in Modern America. Baltimore: Johns Hopkins University Press.CrossRefGoogle Scholar
Dowling, Deborah. 1999. “Experimenting on Theories.” Science in Context 12:261274.CrossRefGoogle Scholar
Drucker, Peter F. 1955. “‘Management Science’ and the Manager.” Management Science 1:115126.CrossRefGoogle Scholar
Edgerton, David. 2007. The Shock of the Old: Technology and Global History Since 1900. New York: Oxford University Press.Google Scholar
Edwards, Paul N. 1996a. The Closed World: Computers and the Politics of Discourse in Cold War America. Cambridge, Mass.: MIT Press.Google Scholar
Edwards, Paul N. 1996b. “Global Comprehensive Models in Politics and Policymaking.” Climatic Change 32:149161.CrossRefGoogle Scholar
Edwards, Paul N. 2000. “The World in a Machine: Origins and Impacts of Early Computerized Global Systems Models.” In Systems, Experts, and Computers: The Systems Approach to Management and Engineering, World War II and After, edited by Hughes, Thomas P. and Hughes, Agatha C., 221253. Cambridge, Mass.: MIT Press.CrossRefGoogle Scholar
Edwards, Paul N. 2001. “Representing the Global Atmosphere: Computer Models, Data, and Knowledge about Climate Change.” In Changing the Atmosphere: Expert Knowledge and Environmental Governance, edited by Miller, Clark A. and Edwards, Paul N., 3165. Cambridge, Mass.: MIT Press.CrossRefGoogle Scholar
Elichirigoity, Fernando. 1999. Planet Management: Limits to Growth, Computer Simulation, and the Emergence of Global Spaces. Evanston, Ill.: Northwestern University Press.Google Scholar
Enke, Stephen. 1951. “Equilibrium Among Spatially Separated Markets: Solution by Electric Analogue.” Econometrica 19:4047.CrossRefGoogle Scholar
Forrester, Jay W. 1958. “Industrial Dynamics: A Major Breakthrough for Decision Makers.” Harvard Business Review 36 (4):3766.Google Scholar
Forrester, Jay W. 1961. Industrial Dynamics. Cambridge, Mass.: MIT Press.Google Scholar
Forrester, Jay W. 1969. Urban Dynamics. Cambridge, Mass.: MIT Press.Google Scholar
Forrester, Jay W. 1971. World Dynamics. Cambridge, Mass.: Wright-Allen Press.Google Scholar
Forrester, Jay. 1985. System Dynamics in Management Education. Cambridge, Mass.: System Dynamics Group, Sloan School of Management, MIT.Google Scholar
Forrester, Jay W. 1992. “From the Ranch to System Dynamics: An Autobiography.” In Management Laureates: A Collection of Autobiographical Essays, Vol. 1, edited by Bedein, Arthur G., 337370. Greenwich, Conn.: Jai Press.Google Scholar
Galison, Peter. 1997. Image and Logic: A Material Culture of Microphysics. Chicago: University of Chicago Press.Google Scholar
Ghamari-Tabrizi, Sharon. 2005. The Worlds of Herman Kahn: The Intuitive Science of Thermonuclear War. Cambridge, Mass.: Harvard University Press.CrossRefGoogle Scholar
Goodwin, Richard. 1946. “Innovations and the Irregularity of Economic Cycles.” Review of Economic Statistics 28:95104.CrossRefGoogle Scholar
Goodwin, Richard M. 1951a. “The Nonlinear Accelerator and the Persistence of Business Cycles.” Econometrica 19:117.CrossRefGoogle Scholar
Goodwin, Richard M. 1951b. “Econometrics in Business-Cycle Analysis.” In Business Cycles and National Income, by Hansen, Alvin H., 417468. New York: Norton.Google Scholar
Harrod, Roy F. 1939. “An Essay in Dynamic Theory.” Economic Journal 49:1433.CrossRefGoogle Scholar
Hitch, Charles. 1953. “Sub-Optimization in Operations Problems.” Journal of the Operations Research Society of America 1:8799.CrossRefGoogle Scholar
Hughes, Thomas P. 1998. Rescuing Prometheus. New York: Vintage Books.Google Scholar
Kaiser, David. 2005. Drawing Theories Apart: The Dispersion of Feynman Diagrams in Postwar Physics. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Keller, Evelyn Fox. 2003. “Models, Simulation, and ‘Computer Experiments’.” In The Philosophy of Scientific Experimentation, edited by Radder, Hans, 198215. Pittsburgh: University of Pittsburgh Press.CrossRefGoogle Scholar
Latour, Bruno. 1987. Science in Action: How to Follow Scientists and Engineers Through Society. Cambridge, Mass.: Harvard University Press.Google Scholar
Latour, Bruno, and Woolgar, Steve. [1979] 1986. Laboratory Life: The Construction of Scientific Facts. Princeton: Princeton University Press.Google Scholar
Light, Jennifer S. 2003. From Warfare to Welfare: Defense Intellectuals and Urban Problems in Cold War America. Baltimore: Johns Hopkins University Press.Google Scholar
Magee, John F. 1956. “Guides to Inventory Policy, I. Functions and Lot Sizes.” Harvard Business Review 34/1:4960.Google Scholar
Magee, John F. 2002. “Operations Research at Arthur D. Little, Inc: The Early Years.” Operations Research 50:149153.CrossRefGoogle Scholar
Meadows, Donella H., et al. 1972. The Limits to Growth: A Report on the Club of Rome's Project on the Predicament of Mankind. New York: Universe Books.Google Scholar
Merz, Martina. 1999. “Multiplex and Unfolding: Computer Simulation in Particle Physics.” Science in Context 12:293316.CrossRefGoogle Scholar
Metzler, Lloyd A. 1941. “The Nature and Stability of Economic Cycles.” Review of Economic Statistics 23:113129.CrossRefGoogle Scholar
Metzler, Lloyd A. 1946. “Business Cycles and the Modern Theory of Employment.” American Economic Review 36:278291.Google Scholar
Metzler, Lloyd A. 1947. “Factors Governing the Length of Inventory Cycles.” Review of Economic Statistics 29:115.CrossRefGoogle Scholar
Mindell, David A. 2002. Between Human and Machine: Feedback, Control, and Computing Before Cybernetics. Baltimore: Johns Hopkins University Press.Google Scholar
Morehouse, N. F., Strotz, R. H., and Horwitz, S. J.. 1950. “An Electro-Analog Method for Investigating Problems in Economic Dynamics: Inventory Oscillations.” Econometrica 18:313328.CrossRefGoogle Scholar
Morgan, Mary S. 1999. “Learning from Models.” In Models as Mediators: Perspectives on Natural and Social Science, edited by Morrison, Margaret and Morgan, Mary S., 347388. New York: Cambridge University Press.CrossRefGoogle Scholar
Morgan, Mary S. 2001. “Models, Stories and the Economic World.” Journal of Economic Methodology 8:361384.CrossRefGoogle Scholar
Morgan, Mary S. 2002. “How Models Help Economists to Know.” Economics and Philosophy 18:516.CrossRefGoogle Scholar
Morgan, Mary S. 2003. “Experiments without Material Intervention: Model Experiments, Virtual Experiments, and Virtually Experiments.” In The Philosophy of Scientific Experimentation, edited by Radder, Hans, 216235. Pittsburgh: University of Pittsburgh Press.CrossRefGoogle Scholar
Morgan, Mary S. 2004. “Simulation: The Birth of a Technology to Create «evidence» in Economics.” Revue d'histoire des sciences 57:341377.Google Scholar
Morgan, Mary S., and Boumans, Marcel. 2004. “Secrets Hidden by Two-Dimensionality: The Economy as a Hydraulic Machine.” In Models: The Third Dimension of Science, edited by Chadarevian, Soraya de and Hopwood, Nick, 369401. Stanford: Stanford University Press.CrossRefGoogle Scholar
Morrison, Margaret, and Morgan, Mary S., eds. 1999. Models as Mediators: Perspectives on Natural and Social Science. New York: Cambridge University Press.Google Scholar
Oreskes, Naomi. 2000. “Why Believe a Computer? Models, Measures, and Meaning in the Natural World.” In The Earth Around Us: Maintaining a Livable Planet, edited by Schneiderman, Jill. S., 7082. San Francisco: W. H. Freeman.Google Scholar
Oreskes, Naomi. 2003. “The Role of Quantitative Models in Science.” In Models in Ecosystem Science, edited by Canham, Charles D., Cole, Jonathan J., and Lauenroth, William K., 1331. Princeton: Princeton University Press.Google Scholar
Oreskes, Naomi, and Belitz, Kenneth. 2001. “Philosophical Issues in Model Assessment.” In Model Validation: Perspectives in Hydrological Science, edited by Anderson, M. G. and Bates, P. D., 2341. London: John Wiley and Sons.Google Scholar
Owens, Larry. 1996. “Where Are We Going, Phil Morse? Changing Agendas and the Rhetoric of Obviousness in the Transformation of Computing at MIT, 1939–1957.” IEEE Annals of the History of Computing 18:3441.CrossRefGoogle Scholar
Phillips, A. W. 1950. “Mechanical Models in Economic Dynamics.” Economica New Series 17:283305.CrossRefGoogle Scholar
Pickering, Andy. 1995. “Cyborg History and the World War II Regime.” Perspectives on Science 3:148.CrossRefGoogle Scholar
Redmond, Kent C. 1980. Project Whirlwind: The History of a Pioneer Computer. Bedford: Digital Press.Google Scholar
Redmond, Kent C. 2000. From Whirlwind to MITRE: The R&D Story of the SAGE Air Defense Computer. Cambridge, Mass.: MIT Press.Google Scholar
Simon, Herbert A. 1952. “On the Application of Servomechanism Theory in the Study of Production Control.” Econometrica 20:247268.CrossRefGoogle Scholar
Sismondo, Sergio, and Gissis, Snait, eds. 1999. “Modeling and Simulation.” Science in Context 12 (2).Google Scholar
Thomas, Gerald William. 2007. “A Veteran Science: Operations Research and Anglo-American Scientific Cultures, 1940–1960.” Ph.D. diss. Harvard University.Google Scholar
Tidman, Keith R. 1984. The Operations Evaluation Group: A History of Naval Operations Analysis. Annapolis: Naval Institute Press.Google Scholar
Tustin, Arnold. 1953. The Mechanism of Economic Systems: An approach to the problem of economic stabilisation from the point of view of control-system engineering. Cambridge, Mass.: Harvard University Press.Google Scholar
Whitin, Thomson M. 1953. The Theory of Inventory Management. Princeton: Princeton University Press.Google Scholar
Winsberg, Eric. 1999. “Sanctioning Models: The Epistemology of Simulation.” Science in Context 12:275292.CrossRefGoogle Scholar