The challenge of transitioning from temporary humanitarian settlements to more sustainable human settlements is due to a significant increase in the number of forcibly displaced people over recent decades, difficultie...The challenge of transitioning from temporary humanitarian settlements to more sustainable human settlements is due to a significant increase in the number of forcibly displaced people over recent decades, difficulties in providing social services that meet the required standards, and the prolongation of emergencies. Despite this challenging context, short-term considerations continue to guide their planning and management rather than more integrated, longer-term perspectives, thus preventing viable, sustainable development. Over the years, the design of humanitarian settlements has not been adapted to local contexts and perspectives, nor to the dynamics of urbanization and population growth and data. In addition, the current approach to temporary settlement harms the environment and can strain limited resources. Inefficient land use and ad hoc development models have compounded difficulties and generated new challenges. As a result, living conditions in settlements have deteriorated over the last few decades and continue to pose new challenges. The stakes are such that major shortcomings have emerged along the way, leading to disruption, budget overruns in a context marked by a steady decline in funding. However, some attempts have been made to shift towards more sustainable approaches, but these have mainly focused on vague, sector-oriented themes, failing to consider systematic and integration views. This study is a contribution in addressing these shortcomings by designing a model-driving solution, emphasizing an integrated system conceptualized as a system of systems. This paper proposes a new methodology for designing an integrated and sustainable human settlement model, based on Model-Based Systems Engineering and a Systems Modeling Language to provide valuable insights toward sustainable solutions for displaced populations aligning with the United Nations 2030 agenda for sustainable development.展开更多
Refugee settlements face several challenges in transitioning from a temporary planning approach to more sustainable settlements. This is mainly due to an increase in the number of forcibly displaced people over the la...Refugee settlements face several challenges in transitioning from a temporary planning approach to more sustainable settlements. This is mainly due to an increase in the number of forcibly displaced people over the last few decades, and the difficulties of sustainably providing social services that meet the required standards. The development of refugee settlements assumed that forcibly displaced people would return to their places or countries of origin. Unfortunately, displacement situations are prolonged indefinitely, forcing these people to spend most of their lives in conditions that are often deplorable and substandard, and therefore unsustainable. In most cases, the establishment of refugee settlements is triggered by an emergency caused by an influx of forcibly displaced people, who need to be accommodated urgently and provided with some form of international assistance and protection. This leaves little or no time for proper planning for long-term development as required. In addition, the current approach to temporary settlement harms the environment and can strain limited resources with ad hoc development models that have exacerbated difficulties. As a result, living conditions in refugee settlements have deteriorated over the last few decades and continue to pose challenges as to how best to design, plan, and sustain settlements over time. To contribute to addressing these challenges, this study proposes a new methodology supported by Model-Based Systems Engineering (MBSE) and a Systems Modeling Language (SysML) to develop a typical sustainable human settlement system model, which has functionally and operationally executed using a Systems Engineering (SE) approach. To assess the sustainability capacity of the proposed system, this work applies a matrix of crossed impact multiplication through a case study by conducting a system capacity interdependence analysis (SCIA) using the MICMAC methodology (Cross-impact matrix multiplication applied to classification) to assess the interdependency that exist between the sub-systems categories to deliver services at the system level. The sustainability analysis results based on capacity variables influence and dependency models shows that development activities in the settlement are unstable and, therefore, unsustainable since there is no apparent difference between the influential and dependent data used for the assessment. These results illustrate that an integrated system could improve human settlements’ sustainability and that capacity building in service delivery is beneficial and necessary.展开更多
基于IEEE及国际系统工程协会(International Council on Systems Engineering,INCOSE)社区会刊,提取与基于模型的系统工程(model based systems engineering,MBSE)领域相关的167篇顶刊的关键词和摘要。采用Python及其第三方库WordCloud...基于IEEE及国际系统工程协会(International Council on Systems Engineering,INCOSE)社区会刊,提取与基于模型的系统工程(model based systems engineering,MBSE)领域相关的167篇顶刊的关键词和摘要。采用Python及其第三方库WordCloud技术,以可视化形式展示MBSE领域研究内容并对MBSE发展态势进行研究。研究结果表明,MBSE在产品研发全生命周期,应用建模技术来支持系统需求、设计、分析、验证与确认等活动,在系统架构设计方面具有重要作用,将MBSE与安全性分析、可靠性分析方法结合也是MBSE的重要研究内容;系统建模语言(system modeling language,SysML)和对象过程方法(object process method,OPM)分别是目前MBSE研究领域中最受欢迎的建模语言和建模方法;将MBSE方法与本体进行结合是规范MBSE模型表达的重要手段,将MBSE与信息物理系统、数字孪生、并行工程领域进行融合研究是MBSE的重要发展方向。所提研究为使用WordCloud文本分析技术来探索当前的MBSE研究提供了技术路线参考,有助于对MBSE的未来发展态势进行预测。展开更多
Disasters and other emergency events have complex effects on human systems,particularly if the events are severe or prolonged.When these types of events happen in rural communities,the resources of the local public he...Disasters and other emergency events have complex effects on human systems,particularly if the events are severe or prolonged.When these types of events happen in rural communities,the resources of the local public health,healthcare,and emergency response organizations can be quickly depleted or overwhelmed.Planning for emergencies can help to mitigate their impact.Model-based systems engineering(MBSE)methods,including computer simulations,can provide insight on how best to prepare for these events and to explore the effects of varying approaches and resource utilization.To best apply these methods for improving disaster management in rural settings,a synthesis of the current body of evidence in this field is needed.The objective of this scoping review was to provide a descriptive overview of the application of computer simulation based on MBSE approaches to disaster preparedness and response for rural healthcare systems.Six studies met inclusion criteria,and varied in terms of MBSE method used,healthcare setting,and disaster type and context considered.We identified a gap in the research regarding the application of MBSE approaches to support rural healthcare disaster preparedness planning efforts.Model-based systems engineering and systems thinking,therefore,represent novel methods for developing tools and computational simulations that could assist rural communities better prepare for disasters.展开更多
The challenges posed by smart manufacturing for the process industries and for process systems engineering(PSE) researchers are discussed in this article. Much progress has been made in achieving plant- and site-wid...The challenges posed by smart manufacturing for the process industries and for process systems engineering(PSE) researchers are discussed in this article. Much progress has been made in achieving plant- and site-wide optimization, hut benchmarking would give greater confidence. Technical challenges confrontingprocess systems engineers in developing enabling tools and techniques are discussed regarding flexibilityand uncertainty, responsiveness and agility, robustness and security, the prediction of mixture propertiesand function, and new modeling and mathematics paradigms. Exploiting intelligence from big data to driveagility will require tackling new challenges, such as how to ensure the consistency and confidentiality ofdata through long and complex supply chains. Modeling challenges also exist, and involve ensuring that allkey aspects are properly modeled, particularly where health, safety, and environmental concerns requireaccurate predictions of small but critical amounts at specific locations. Environmental concerns will requireus to keep a closer track on all molecular species so that they are optimally used to create sustainablesolutions. Disruptive business models may result, particularly from new personalized products, but that isdifficult to predict.展开更多
基于模型的系统工程(model-based systems engineering,MBSE)已被广泛应用于复杂系统设计之中。通过构建功能、行为和结构之间的关系,提出一种基于MBSE的多层级递进式架构设计流程。随后,以高度控制需求为导向,对民机飞行控制系统进行...基于模型的系统工程(model-based systems engineering,MBSE)已被广泛应用于复杂系统设计之中。通过构建功能、行为和结构之间的关系,提出一种基于MBSE的多层级递进式架构设计流程。随后,以高度控制需求为导向,对民机飞行控制系统进行了示例化建模。结果表明,基于MBSE的民机飞行控制系统多层级递进式架构设计能够充分发挥数字模型可重用的优势,保证需求与功能、逻辑和物理架构的紧密结合,提高系统设计的可追溯性,可为后续领域层阶段模型设计提架构参考。展开更多
卫星的能源分系统设计和验证是卫星设计的关键环节。能源分系统具有高安全和高可靠的要求,其设计过程与卫星轨道、光照、工作模式等多重因素耦合,同时需要与机械、热、供电、控制等多学科关联设计。为快速、便捷、全面实现复杂系统的设...卫星的能源分系统设计和验证是卫星设计的关键环节。能源分系统具有高安全和高可靠的要求,其设计过程与卫星轨道、光照、工作模式等多重因素耦合,同时需要与机械、热、供电、控制等多学科关联设计。为快速、便捷、全面实现复杂系统的设计和仿真,提出基于模型的系统工程(model-based system engineering,MBSE)方法,通过模型实现能源分系统多耦合、多产品、高安全系统的显式一体化表达,围绕需求展开多个功能点和性能点的设计、验证与优化。结果表明,所提方法构建的设计验证一体能源设计模型可对系统需求做精细化分析,进而进行功能和结构设计,实现和优化系统性能指标设计,并完成对需求的闭环和验证,在工程中具有高效、明确的应用价值。展开更多
为了适应未来大型复杂系统设计与功能分析需求,在火星维护与管理装置设计中引入了基于模型的系统工程(model-based system engineering,MBSE)方法。首先,基于MagicDraw系统建模工具,利用SysML建模语言,以火星表面维护与管理装置为例,从...为了适应未来大型复杂系统设计与功能分析需求,在火星维护与管理装置设计中引入了基于模型的系统工程(model-based system engineering,MBSE)方法。首先,基于MagicDraw系统建模工具,利用SysML建模语言,以火星表面维护与管理装置为例,从概念层、逻辑层和物理层逐层分解,对火星维护与管理装置进行总体设计,提出火星车和智能机器人两种物理实现方案。随后,为对设计方案进行追溯性验证,建立了从用户需求到系统逻辑架构和指标能力的需求精化映射矩阵。结果表明,火星维护与管理装置的MBSE功能架构设计方法充分保证了用户需求和装置功能架构的紧密结合,提高了系统设计的可追溯性,可为MBSE方法在航天器总体设计提供应用参考。展开更多
为提高运载火箭上升段逃逸救生策略的覆盖性和有效性,采用基于模型的系统工程(model-based system engineering,MBSE)方法开展设计。首先,进行运载火箭逃逸救生任务分析,识别相关系统及其任务需求,建立任务需求模型。然后,根据运载火箭...为提高运载火箭上升段逃逸救生策略的覆盖性和有效性,采用基于模型的系统工程(model-based system engineering,MBSE)方法开展设计。首先,进行运载火箭逃逸救生任务分析,识别相关系统及其任务需求,建立任务需求模型。然后,根据运载火箭飞行程序,建立不同时刻的主要故障模型,研究提出不同故障的可能应对策略,形成功能需求模型。最后,在逻辑仿真中调用弹道仿真程序,验证了逃逸救生策略的可行性,实现了需求的闭环验证。通过采用该方法,完成了运载火箭上升段逃逸救生任务需求模型化,奠定了全任务周期数字化设计的基础,可为工程实践提供参考。展开更多
文摘The challenge of transitioning from temporary humanitarian settlements to more sustainable human settlements is due to a significant increase in the number of forcibly displaced people over recent decades, difficulties in providing social services that meet the required standards, and the prolongation of emergencies. Despite this challenging context, short-term considerations continue to guide their planning and management rather than more integrated, longer-term perspectives, thus preventing viable, sustainable development. Over the years, the design of humanitarian settlements has not been adapted to local contexts and perspectives, nor to the dynamics of urbanization and population growth and data. In addition, the current approach to temporary settlement harms the environment and can strain limited resources. Inefficient land use and ad hoc development models have compounded difficulties and generated new challenges. As a result, living conditions in settlements have deteriorated over the last few decades and continue to pose new challenges. The stakes are such that major shortcomings have emerged along the way, leading to disruption, budget overruns in a context marked by a steady decline in funding. However, some attempts have been made to shift towards more sustainable approaches, but these have mainly focused on vague, sector-oriented themes, failing to consider systematic and integration views. This study is a contribution in addressing these shortcomings by designing a model-driving solution, emphasizing an integrated system conceptualized as a system of systems. This paper proposes a new methodology for designing an integrated and sustainable human settlement model, based on Model-Based Systems Engineering and a Systems Modeling Language to provide valuable insights toward sustainable solutions for displaced populations aligning with the United Nations 2030 agenda for sustainable development.
文摘Refugee settlements face several challenges in transitioning from a temporary planning approach to more sustainable settlements. This is mainly due to an increase in the number of forcibly displaced people over the last few decades, and the difficulties of sustainably providing social services that meet the required standards. The development of refugee settlements assumed that forcibly displaced people would return to their places or countries of origin. Unfortunately, displacement situations are prolonged indefinitely, forcing these people to spend most of their lives in conditions that are often deplorable and substandard, and therefore unsustainable. In most cases, the establishment of refugee settlements is triggered by an emergency caused by an influx of forcibly displaced people, who need to be accommodated urgently and provided with some form of international assistance and protection. This leaves little or no time for proper planning for long-term development as required. In addition, the current approach to temporary settlement harms the environment and can strain limited resources with ad hoc development models that have exacerbated difficulties. As a result, living conditions in refugee settlements have deteriorated over the last few decades and continue to pose challenges as to how best to design, plan, and sustain settlements over time. To contribute to addressing these challenges, this study proposes a new methodology supported by Model-Based Systems Engineering (MBSE) and a Systems Modeling Language (SysML) to develop a typical sustainable human settlement system model, which has functionally and operationally executed using a Systems Engineering (SE) approach. To assess the sustainability capacity of the proposed system, this work applies a matrix of crossed impact multiplication through a case study by conducting a system capacity interdependence analysis (SCIA) using the MICMAC methodology (Cross-impact matrix multiplication applied to classification) to assess the interdependency that exist between the sub-systems categories to deliver services at the system level. The sustainability analysis results based on capacity variables influence and dependency models shows that development activities in the settlement are unstable and, therefore, unsustainable since there is no apparent difference between the influential and dependent data used for the assessment. These results illustrate that an integrated system could improve human settlements’ sustainability and that capacity building in service delivery is beneficial and necessary.
文摘基于IEEE及国际系统工程协会(International Council on Systems Engineering,INCOSE)社区会刊,提取与基于模型的系统工程(model based systems engineering,MBSE)领域相关的167篇顶刊的关键词和摘要。采用Python及其第三方库WordCloud技术,以可视化形式展示MBSE领域研究内容并对MBSE发展态势进行研究。研究结果表明,MBSE在产品研发全生命周期,应用建模技术来支持系统需求、设计、分析、验证与确认等活动,在系统架构设计方面具有重要作用,将MBSE与安全性分析、可靠性分析方法结合也是MBSE的重要研究内容;系统建模语言(system modeling language,SysML)和对象过程方法(object process method,OPM)分别是目前MBSE研究领域中最受欢迎的建模语言和建模方法;将MBSE方法与本体进行结合是规范MBSE模型表达的重要手段,将MBSE与信息物理系统、数字孪生、并行工程领域进行融合研究是MBSE的重要发展方向。所提研究为使用WordCloud文本分析技术来探索当前的MBSE研究提供了技术路线参考,有助于对MBSE的未来发展态势进行预测。
基金the financial support from UTK for selecting Ms.Marino for the Undergraduate Summer Research Award,which provided summer stipend and professional development opportunities
文摘Disasters and other emergency events have complex effects on human systems,particularly if the events are severe or prolonged.When these types of events happen in rural communities,the resources of the local public health,healthcare,and emergency response organizations can be quickly depleted or overwhelmed.Planning for emergencies can help to mitigate their impact.Model-based systems engineering(MBSE)methods,including computer simulations,can provide insight on how best to prepare for these events and to explore the effects of varying approaches and resource utilization.To best apply these methods for improving disaster management in rural settings,a synthesis of the current body of evidence in this field is needed.The objective of this scoping review was to provide a descriptive overview of the application of computer simulation based on MBSE approaches to disaster preparedness and response for rural healthcare systems.Six studies met inclusion criteria,and varied in terms of MBSE method used,healthcare setting,and disaster type and context considered.We identified a gap in the research regarding the application of MBSE approaches to support rural healthcare disaster preparedness planning efforts.Model-based systems engineering and systems thinking,therefore,represent novel methods for developing tools and computational simulations that could assist rural communities better prepare for disasters.
文摘The challenges posed by smart manufacturing for the process industries and for process systems engineering(PSE) researchers are discussed in this article. Much progress has been made in achieving plant- and site-wide optimization, hut benchmarking would give greater confidence. Technical challenges confrontingprocess systems engineers in developing enabling tools and techniques are discussed regarding flexibilityand uncertainty, responsiveness and agility, robustness and security, the prediction of mixture propertiesand function, and new modeling and mathematics paradigms. Exploiting intelligence from big data to driveagility will require tackling new challenges, such as how to ensure the consistency and confidentiality ofdata through long and complex supply chains. Modeling challenges also exist, and involve ensuring that allkey aspects are properly modeled, particularly where health, safety, and environmental concerns requireaccurate predictions of small but critical amounts at specific locations. Environmental concerns will requireus to keep a closer track on all molecular species so that they are optimally used to create sustainablesolutions. Disruptive business models may result, particularly from new personalized products, but that isdifficult to predict.
文摘基于模型的系统工程(model-based systems engineering,MBSE)已被广泛应用于复杂系统设计之中。通过构建功能、行为和结构之间的关系,提出一种基于MBSE的多层级递进式架构设计流程。随后,以高度控制需求为导向,对民机飞行控制系统进行了示例化建模。结果表明,基于MBSE的民机飞行控制系统多层级递进式架构设计能够充分发挥数字模型可重用的优势,保证需求与功能、逻辑和物理架构的紧密结合,提高系统设计的可追溯性,可为后续领域层阶段模型设计提架构参考。
文摘卫星的能源分系统设计和验证是卫星设计的关键环节。能源分系统具有高安全和高可靠的要求,其设计过程与卫星轨道、光照、工作模式等多重因素耦合,同时需要与机械、热、供电、控制等多学科关联设计。为快速、便捷、全面实现复杂系统的设计和仿真,提出基于模型的系统工程(model-based system engineering,MBSE)方法,通过模型实现能源分系统多耦合、多产品、高安全系统的显式一体化表达,围绕需求展开多个功能点和性能点的设计、验证与优化。结果表明,所提方法构建的设计验证一体能源设计模型可对系统需求做精细化分析,进而进行功能和结构设计,实现和优化系统性能指标设计,并完成对需求的闭环和验证,在工程中具有高效、明确的应用价值。
文摘为了适应未来大型复杂系统设计与功能分析需求,在火星维护与管理装置设计中引入了基于模型的系统工程(model-based system engineering,MBSE)方法。首先,基于MagicDraw系统建模工具,利用SysML建模语言,以火星表面维护与管理装置为例,从概念层、逻辑层和物理层逐层分解,对火星维护与管理装置进行总体设计,提出火星车和智能机器人两种物理实现方案。随后,为对设计方案进行追溯性验证,建立了从用户需求到系统逻辑架构和指标能力的需求精化映射矩阵。结果表明,火星维护与管理装置的MBSE功能架构设计方法充分保证了用户需求和装置功能架构的紧密结合,提高了系统设计的可追溯性,可为MBSE方法在航天器总体设计提供应用参考。
文摘为提高运载火箭上升段逃逸救生策略的覆盖性和有效性,采用基于模型的系统工程(model-based system engineering,MBSE)方法开展设计。首先,进行运载火箭逃逸救生任务分析,识别相关系统及其任务需求,建立任务需求模型。然后,根据运载火箭飞行程序,建立不同时刻的主要故障模型,研究提出不同故障的可能应对策略,形成功能需求模型。最后,在逻辑仿真中调用弹道仿真程序,验证了逃逸救生策略的可行性,实现了需求的闭环验证。通过采用该方法,完成了运载火箭上升段逃逸救生任务需求模型化,奠定了全任务周期数字化设计的基础,可为工程实践提供参考。