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A comparison between the Functional Analysis and the Causal-Loop Diagram to model inventive problems

机译：功能分析和因果图之间的比较，以对发明性问题进行建模

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The pressure of the market, the exigencies of the society, and the environmental restrictions ask for new problem-solving approaches. In this context, the Theory of Inventive Problem Solving (TRIZ) offers several advantages: it is a knowledge-based approach for problem-solving that links the problem requirements with some engineering models to guide the solving process. However, the learning process of TRIZ and its use with a practical purpose reveal many drawbacks. A significant problem, while using TRIZ, emerges when the user needs to analyze and formulate an inventive problem. To deal with this issue, a combination of TRIZ with other tools seems the best strategy. The use of the Functional Analysis (FA) is one of the best examples. Despite the usefulness of the FA technique, a difficulty remains: it is a complex task to model the causal relationship between several parameters or conditions within a system. However, a tool used in the System Dynamics Modeling deals well with this situation. The System Dynamics (SD) analyzes the nonlinear behavior of complex systems over time. Congruent with recent TRIZ advances, the SD is a computer aided-approach with an extended application domain, practically in any complex system-social, managerial, economic or natural system defined by some relationships, a flow of information, and some effects of causality. Hence, SD can produce useful information when there are several conflicts in a system, also called a problem network. SD uses a graphical tool to model the variables and states of a system: The Causal-Loop Diagram. This tool is helpful to explain a conflict, the change of a system, or merely the interactions that take place to obtain an effect. This article presents a comparison between the Functional Analysis and the Causal-Loop Diagram to model inventive problems.
机译：市场的压力，社会的迫切需求以及环境的限制要求新的解决问题的方法。在这种情况下，创造性问题解决理论（TRIZ）具有几个优点：这是一种基于知识的问题解决方法，将问题要求与一些工程模型联系在一起，以指导解决过程。但是，TRIZ的学习过程及其实际使用揭示了许多缺点。当使用TRIZ时，当用户需要分析和提出创造性问题时会出现一个重大问题。为了解决此问题，将TRIZ与其他工具结合使用似乎是最好的策略。功能分析（FA）的使用是最好的例子之一。尽管FA技术很有用，但仍然存在困难：对系统中多个参数或条件之间的因果关系进行建模是一项复杂的任务。但是，系统动力学建模中使用的工具可以很好地处理这种情况。系统动力学（SD）分析了复杂系统随时间的非线性行为。与TRIZ的最新进展一致，SD是一种计算机辅助方法，具有扩展的应用领域，实际上是在由某些关系，信息流和某些因果关系所定义的任何复杂系统（社会，管理，经济或自然系统）中。因此，当系统（也称为问题网络）中存在多个冲突时，SD可以产生有用的信息。 SD使用图形工具对系统的变量和状态进行建模：因果关系图。该工具有助于解释冲突，系统的更改，或仅解释为获得效果而进行的交互。本文介绍了功能分析和因果关系图之间的比较，以对发明性问题进行建模。

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