Applied Ideation Methodology Selector Tool

Martin Lindell, Benjamin Mansfield, Michael Olson, Carson Storey, Matthew Wolf, Emily Wood, Jonathan Weaver
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Abstract

In engineering and product development, it is challenging to identify the most promising opportunities to work on, translate those opportunities into well-defined problem statements, generate many alternative concepts, and select/implement the most promising concepts. Many well-known tools aim to put structured processes around the ideation or concept generation phase, including, but not limited to, Theory of Inventive Problem Solving (TRIZ), Yilmaz et al. 77 Design Heuristics, Biomimicry, and Brainwriting. Herein, the authors identify thirteen methods specific to concept generation, clearly define and differentiate what these methods excel at, and provide structured reasoning as to why some methods are preferred in various situations over others. Following this reasoning the authors propose a Microsoft Excel-based tool built off a modified version of Analytic Hierarchy Process (AHP) that with user input will recommend the best set of ideation methodologies for the users' scenario. Seven criteria definitions were established to differentiate and rank each ideation methodology. Multiple test cases demonstrate the results of the selection tool to be predictable and rational. Possible future work includes adding additional ideation methodologies to the Excel based tool, further validation by more users, and expanding it to include tools for both problem definition and concept selection/implementation methodologies. The authors feel that doing great systems engineering must begin with a great architecture/concept, and this tool can facilitate routine development of highly innovative, high-valued solutions that, when well executed via a rigorous systems engineering process, will create exceptional enterprise value.

应用构思方法选择工具
在工程和产品开发中,确定最有前途的工作机会、将这些机会转化为定义明确的问题陈述、生成许多可供选择的概念,以及选择/实施最有前途的概念,都是极具挑战性的工作。许多著名的工具都旨在围绕构思或概念生成阶段建立结构化流程,包括但不限于发明性问题解决理论(TRIZ)、Yilmaz 等人的 77 种设计启发式方法、生物仿生学(Biomimicry)和脑力写作(Brainwriting)。在此,作者确定了 13 种专门用于概念生成的方法,明确定义和区分了这些方法的优势所在,并提供了结构化推理,说明为什么在不同情况下某些方法比其他方法更受青睐。根据这一推理,作者提出了一个基于 Microsoft Excel 的工具,该工具是根据分析层次过程(AHP)的修改版构建的,用户输入后,该工具将为用户推荐一套最佳的构思方法。他们制定了七个标准定义,以区分每种构思方法并对其进行排序。多个测试案例表明,选择工具的结果是可预测和合理的。未来可能开展的工作包括在基于 Excel 的工具中添加更多的构思方法,由更多用户进行进一步验证,以及将其扩展到包括问题定义和概念选择/实施方法的工具。作者认为,伟大的系统工程必须从伟大的架构/概念开始,而这一工具可以促进高度创新、高价值解决方案的常规开发,如果通过严格的系统工程流程得到很好的执行,这些解决方案将创造非凡的企业价值。
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