Rameez R. Qureshi, David N. Ford, Charles M. Wolf
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{"title":"Descriptive design structure matrices for improved system dynamics qualitative modeling","authors":"Rameez R. Qureshi, David N. Ford, Charles M. Wolf","doi":"10.1002/sdr.1764","DOIUrl":null,"url":null,"abstract":"Qualitative modeling approaches can be useful in system information collection, model analysis, and formal model development. This is difficult when the number of elements and their interactions in the system is large. System dynamicists need additional tools and methods to conceptually model these large tightly coupled systems. We propose and test the Descriptive Design Structure Matrix (DDSM) as a qualitative system dynamics modeling tool and approach for systems with many elements and more interactions that can reasonably be modeled individually using traditional system dynamics methods. A DDSM consists of four parallel and internally consistent matrices that describe system interactions with binary relations, nontechnical text, technical text, and literature support. By including and documenting system information in multiple forms, DDSMs facilitate multiple stages of system dynamics modeling, improve modeler communication with system participants and domain experts, and improve model rigor. DDSM construction is described. A case study of the 2014 flooding in Kashmir is used to illustrate and test a DDSM and its application. Due to their compact format, DDSMs provide a useful visual communication aid, intuitive reasoning tool, and foundation for formal system dynamics modeling and analysis. © 2024 The Authors. <i>System Dynamics Review</i> published by John Wiley & Sons Ltd on behalf of System Dynamics Society.","PeriodicalId":51500,"journal":{"name":"System Dynamics Review","volume":"201 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"System Dynamics Review","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1002/sdr.1764","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
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用于改进系统动力学定性建模的描述性设计结构矩阵
定性建模方法可用于系统信息收集、模型分析和正式模型开发。当系统中的元素数量及其相互作用非常多时,就很难做到这一点。系统动力学家需要额外的工具和方法来对这些大型紧密耦合系统进行概念建模。我们提出并测试了描述性设计结构矩阵 (DDSM),将其作为定性系统动力学建模工具和方法,用于具有众多元素和更多交互作用的系统,这些元素和交互作用可以用传统的系统动力学方法进行合理的单独建模。DDSM 由四个平行且内部一致的矩阵组成,通过二进制关系、非技术文本、技术文本和文献支持来描述系统交互。通过以多种形式包含和记录系统信息,DDSM 可促进系统动力学建模的多个阶段,改善建模者与系统参与者和领域专家的交流,并提高模型的严谨性。本文介绍了 DDSM 的构建。通过对 2014 年克什米尔洪灾的案例研究,说明并测试了 DDSM 及其应用。由于格式紧凑,DDSM 为正式的系统动力学建模和分析提供了有用的可视化交流辅助工具、直观推理工具和基础。© 2024 作者。系统动力学评论》由 John Wiley & Sons Ltd 代表系统动力学学会出版。
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