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Analyzing Complex Systems Using an Integrated Multi-scale Systems Approach.

机译:使用集成的多尺度系统方法分析复杂的系统。

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摘要

Many industries, such as healthcare, transportation, education, and other fields that involve large corporations and institutions, are complex systems composed of many diverse interacting components. Frequently, to improve performance within these industries, to move into new markets, or to expand capability or capacity, decision-makers face opportunities or mandates to implement innovations (new technology, processes, and services). Successful implementation of these innovations involves seamless integration with the policy, economic, social, and technological dynamics associated with the complex system. These dynamics are frequently difficult for decision-makers to observe and understand. Consequently, they take on risk from lack of insight into how best to implement the innovation and how their system-of-interest will ultimately perform. This research defines a framework for an integrated, multi-scale modeling and simulation systems approach that provides decision-makers with prospective insight into the likely performance to expect once an innovation of change is implemented in a complex system. The need for such a framework when modeling complex systems is described, and suitable simulation paradigms and the challenges related to implementing these simulations are discussed. A healthcare case study is used to demonstrate the framework's application and utility in understanding how an innovation, once fielded, will actually affect the larger complex system to which it belongs.
机译:许多行业,例如医疗保健,运输,教育和涉及大型公司和机构的其他领域,都是由许多不同的交互组件组成的复杂系统。通常,为了提高这些行业的绩效,进入新市场或扩大能力,决策者们面临着实施创新(新技术,新工艺和新服务)的机会或要求。这些创新的成功实施涉及与复杂系统相关的政策,经济,社会和技术动态的无缝集成。决策者通常很难观察和理解这些动态。因此,他们由于缺乏对如何最好地实施创新以及他们的利益相关系统最终将如何执行的洞察力而承担风险。这项研究为集成的多尺度建模和仿真系统方法定义了一个框架,该方法为决策者提供了在复杂系统中实施变更创新后对可能表现的预期见解。描述了在对复杂系统进行建模时对这种框架的需求,并讨论了合适的仿真范例以及与实现这些仿真相关的挑战。医疗保健案例研究用于说明该框架的应用和效用,以了解一项创新一旦付诸实践将如何实际影响其所属的大型复杂系统。

著录项

  • 作者

    Ravitz, Alan D.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Systems science.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 171 p.
  • 总页数 171
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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