改善重要的循环

IF 1.7 3区 管理学 Q3 MANAGEMENT
W. Schoenberg, J. Hayward, R. Eberlein
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引用次数: 2

摘要

事实证明,理解行为的“重要循环”方法很容易使用,而且适用范围很广,但它在最初的公式中有一个缺点,即当流动方程合并或分离时,它不能给出相同的结果。这是因为原始公式将流量对股票的影响相对于净流量进行处理,因此,当股票接近平衡时,所有分数往往会变得非常大,但有多大很大程度上取决于流量是如何指定的。通过将从流到库存的链接分数重新表述为从流到库存的净流的分数,这种拓扑依赖性被删除了。使用这种方法可以更容易地看到两个循环,特别是平衡和强化循环,如何一起工作以达到平衡或稳定状态。这使得对显示向稳定状态过渡的模型的分析既容易又有见地。此外,该方法背后的数学与路径参与和循环影响分析方法更紧密地联系在一起,使这些不同方法之间的关系更加清晰。当将分析应用于各种模型时,结果是对负责行为的结构的确定更加清晰,并且更清楚地与使用其他技术已经完成的工作联系在一起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Loops that Matter
The Loops that Matter approach to understanding behavior has proven easy to use and broadly applicable, but it has a shortcoming in its original formulation in that it does not give the same results when flows equations are combined or separated. This is because the original formulation treats the impact of a flow on a stock relative to the net flow, so that all scores tend to get very large in magnitude as a stock approaches equilibrium, but how big depends strongly on how the flows are specified. By reformulating the link scores from a flow to stock as the score from the flow to the net flow for the stock, this topological dependency is removed. Using this approach makes it easier to see how two loops, especially balancing and reinforcing loops, can work together to achieve an equilibrium or steady state. This makes the analysis of models showing a transition to a steady state both easier and more insightful. In addition, the mathematics behind this approach lines up more closely with the Pathway Participation and Loop Impact analysis methods making the relationship among these different approaches clear. The result of this, when applying the analysis to a variety of models, is that the determination of the structure responsible for behavior is clearer, and more clearly tied to work already done using other techniques.
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来源期刊
CiteScore
6.60
自引率
8.30%
发文量
22
期刊介绍: The System Dynamics Review exists to communicate to a wide audience advances in the application of the perspectives and methods of system dynamics to societal, technical, managerial, and environmental problems. The Review publishes: advances in mathematical modelling and computer simulation of dynamic feedback systems; advances in methods of policy analysis based on information feedback and circular causality; generic structures (dynamic feedback systems that support particular widely applicable behavioural insights); system dynamics contributions to theory building in the social and natural sciences; policy studies and debate emphasizing the role of feedback and circular causality in problem behaviour.
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