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R.H. Anderton. Industrial dynamics: A technique for gaining understanding of complex systems. In Papermaking Systems and their Control, Trans. of the IVth Fund. Res. Symp. Oxford, 1969, (F. Bolam, ed.), pp 633–647, FRC, Manchester, 2018


Control of a complex organisation requires that its response to decision inputs be predictable . Traditionally, this has been made possible by almost breaking down the organisation into very simply coupled subsystems. This allows decision-makers to use a relatively simple and usually informal model.

Size and environmental rate of change are now tending to make the decoupling hard to make effective. Industrial dynamics provides both a theoretical structure and a computer simulation technique designed to provide decision-makers with a richer model of the dynamic feedback processes generally involved in industrial operations. The structure defines a system in terms of a closed boundary containing feedback loops, which in turn are formed by the relation between level and rate variables . The DYNAMO compiler allows models of systems conceived on these lines to be programmed in a straightforward way so as to allow experimental investigation of the system variables. The paper discusses case studies and concludes with notes on model validity and the problem of data.

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