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This paper considers the characteristic dynamic behaviour associated with basic manufacturing system designs. In studying such systems the focus will be on three fundamental flows: orders; materials; and information. Of specific interest is the influence of these flows on scheduling decision rules based on stock levels and/or product order rates, as well as how information is passed through the system. Thus it is the optimum combination of feedforward and/or feedback flow paths in a manufacturing-system design which is being sought. This paper will propose a 'middle ground' between two categories of technique used when considering dynamic behaviour - i e, building models using continuous computer simulation packages and alternatively using models capable of mathematical solution. It is proposed that mathematical models, of limited complexity, can provide the necessary insight to guide the design and appraisal of live system models built with a continuous computer package. The paper concludes by developing the idea that a generic application in the study of scheduling strategies for live manufacturing systems.

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