Alan C. McLucas

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How to determine the impact of soft variables, including intangibles or social variables, and combining them as necessary with hard variables in system dynamics models is a significant challenge. This paper identifies a weakness in system dynamics modelling practice, that is, in reliably incorporating soft variables into system dynamics models. A method for(More)
System dynamics is still evolving. This paper argues additional rigour is needed if system dynamics is to achieve its full potential in helping us understand complex behaviour of human activity systems. It argues that a detailed appreciation of how systems engineers define, analyse, specify, manufacture, operate and support complex systems could inform the(More)
This paper describes an application of the Vee Model of Systems Engineering in developing a System Dynamics model of dryland salinity in the Murray Darling Basin. A modular approach was adopted. Simple modules of salt affected land were developed using Powersim Studio following decomposition, definition, integration and verification processes. Individual(More)
Causal loop diagrams are graphical aids for depicting hypotheses about causality and feedback mechanisms. Though widely used, causal loop diagramming has significant limitations. Causal loop diagrams can contain numerous untested assumptions about causality. This paper demonstrates how causal loop diagramming practice can be made more robust. The proffered(More)
Dryland salinity is an insidious problem which progressively degrades arable or marginally productive farming land often to the point that such land becomes incapable of sustaining agriculture in the long term. In Australia, this problem has been exacerbated by the removal of millions of trees to make way for cultivation. This paper explains how founding(More)
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