利用约束理论思维过程和工具补充定性系统动力学建模的框架

IF 1.7 3区 管理学 Q3 MANAGEMENT
Victoria J. Mabin, Robert Y. Cavana
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引用次数: 0

摘要

虽然目前用于定性系统动力学(Qual SD)建模的工具在提供整体视角和理解复杂性与变化的框架方面非常强大,但这些工具往往没有明确设计用于在这种理解的基础上建立和实施长期解决方案。约束理论(TOC)思维过程和工具侧重于决策过程的这些重要方面。我们提供了一个六阶段框架,将 TOC 思考过程中的选定工具与 Qual SD 的建模过程相结合,以提供一个更严格的系统思考变革过程。我们通过一个为教学目的而开发的复杂社会问题(新西兰超市的酒类销售)的案例研究来说明这些方法和组成工具。我们展示了该框架的价值,强调了工具之间的互补性,并说明了如何通过使用每种工具获得具体的见解,与单独使用相比,集体使用 Qual SD 和 TOC 获得的见解更多。© 2024 作者。系统动力学评论》由 John Wiley & Sons Ltd 代表系统动力学协会出版。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for using Theory of Constraints thinking processes and tools to complement qualitative system dynamics modelling
While the tools currently used for qualitative system dynamics (Qual SD) modelling are very powerful in providing a holistic perspective and a framework for understanding complexity and change, they are often not explicitly designed to build and implement long‐term solutions based on that understanding. The Theory of Constraints (TOC) thinking processes and tools focus on these important aspects of the decision‐making process. We provide a six‐stage framework combining selected tools from TOC's thinking process and Qual SD's modelling process to provide a more rigorous systems thinking change process. We illustrate the methods and component tools via a case study on a complex societal issue (sale of alcohol in New Zealand supermarkets) developed for teaching purposes. We demonstrate the value of the framework, highlighting complementarities between tools, and show how specific insights emerged using each of the tools, with more insights resulting from using Qual SD and TOC collectively than separately. © 2024 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.
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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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