Using functional modelling to assess system performance and resilience in socio-technical systems

弹性是最近关于社会技术系统管理的讨论的前沿概念。根据大多数定义，弹性被定义为系统在暴露于不利条件或外部压力时持续存在的能力。系统之所以能够在这些压力源和不利条件下持续存在，是由于三种内部能力：吸收能力、适应能力和转化能力。在复杂的社会技术系统中，很难诊断出这些能力中的哪一种对系统的持久性负责。此外，弹性研究努力回答是否所有形式的弹性都是改善社会技术系统性能的理想选择，以及实际上，对特定弹性能力的理解能否转化为对这些系统有用的管理建议。目前的弹性测量方法建议使用单一指标来测量弹性。这就引发了一场争论，即在测量弹性时，哪个指标可能是最合适的。弹性没有使用当前的方法直接度量，它是通过代理度量来度量的。该研究项目将概述一个计划，以制定一个框架，以一种允许研究人员和从业者更精确地调查社会技术系统中的弹性的方式来衡量弹性。该框架将提供一种区分三种复原能力的方法。这应该导致对测量产生的影响进行更有见地和有针对性的讨论。本研究还将功能系统建模与测量框架相结合，以增强这些系统的可追溯性。功能共振分析方法（FRAM）将用于开发功能模型。功能系统建模与改进的弹性量化框架的耦合将丰富社会技术系统中这种弹性的研究，并提供建立改进的基于弹性的管理策略的机会。本研究计划的方法学发展将通过将其应用于纽芬兰和拉布拉多的老年医学系统进行测试。该系统是一个理想的社会技术系统，用于数据收集活动和测试本研究中开发的方法。老年医学系统是一个跨越许多学科的大型、多方利益相关者系统。功能建模方法将有助于解读这个多利益相关者系统，为系统提供结构，并提高可追溯性。七名hqp将在该研究项目中接受培训。该项目的hqp将获得与人类参与者进行实验的技能，社会技术系统的调查方法，并学习如何评估工业安全背景下的恢复能力。该研究领域为HQP提供了一个机会，为出版的文献和实践做出贡献。

Resilience is a concept that is at the forefront of recent discussions about the management of socio-technical systems. By most definitions, resilience is defined as the ability of a system to persist when exposed to adverse conditions or external stressors. The system is able to persist in the face of these stressors and adverse conditions due to three internal capacities: absorptive capacities, adaptive capacities, and transformative capacities. In complex socio-technical systems, it can be difficult to diagnose which of these capacities are responsible for the system's persistence. Furthermore, resilience research struggles to answer whether all forms of resilience would be desirable for improving the performance of socio-technical systems, and practically, can the understanding of specific resilient capacities be translated into useful management recommendations for these systems. Current resilience measurement approaches suggest using a single metric to measure resilience. This leads to debate around which metric might be the most appropriate to use when measuring resilience. Resilience has not been measured directly using the current approaches, it is measured by proxy metrics. This research program will outline a plan to develop a framework that measures resilience in a way which will allow researchers and practitioners to more precisely investigate resilience in socio-technical systems. The framework will provide an approach to distinguish between the three capacities of resilience. This should lead to amore informed and targeted discussion of implications arising from the measurements. This research will also couple functional system modeling to the measurement framework to enhance the tractability of these systems. The functional resonance analysis method (FRAM) will be used to develop the functional models. The coupling of functional system modelling with an improved framework for resilience quantification will enrich the study of this resilience in socio-technical system and provide an opportunity build improved resilience-based management strategies. The methodological developments in this research proposal will be tested by applying them to the Geriatric Medicine System in Newfoundland and Labrador. This system is an ideal socio-technical system for data collection activities and the testing of the methods developed in this research. The Geriatric Medicine System is a large, multi-stakeholder system that spans many disciplines. The functional modelling approach will help decipher this multi-stakeholder system, provide structure to the system, and improve tractability. Seven HQPs will be trained in this research program. HQPs in this project will gain skills in conducting experiments with human participants, investigative methods for socio-technical systems, and learn how to assess resilience in industrial safety contexts. The research area provides an opportunity for HQP to contribute to both, published literature and practice.