Defining Resilience for Engineered Systems

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This paper surveys the literature on resilience, provides several definitions of resilience, and proposes a new comprehensive definition for a resilient engineered system, which is: a system that is able to successfully complete its planned mission(s) in the face of disruption(s) (environmental or adversarial), and has capabilities allowing it to successfully complete future missions with evolving threats. This definition captures the subtle differences between resilience and a resilient engineered system. We further examine the terminology associated with resilience to understand the various resilient time-frames and use the terminology to propose a resilience cycle, which differentiates mission resilience (short term) and platform resilience (long term). We then provide insight into various resilience evaluation methodologies and discuss how understanding the full scope of resilience enable designers to better incorporate resilience into system design, decision makers to consider resilient trade-offs in their assessment, and operators to better manage their systems. A resilient engineered system can lead to improved performance, reduced life-cycle costs, increased value, and extended service life for engineered systems.

Highlights

  • In this paper we review existing resilience literature with a focus on engineered systems

  • We found no standard definition of resilience and the definitions found included a variety of means in their definitions of resilience while not including the objectives over the full life cycle

  • This paper provides a new definition of a resilient engineered systems that includes the objectives of resilience without dictating the means to achieve them - An resilient engineered system is a system that is able to successfully complete its planned mission(s) in the face of disruption(s), and has capabilities allowing it to successfully complete future missions with evolving threats

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Summary

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In this paper we review existing resilience literature with a focus on engineered systems. To better understand the effect that time plays on engineered systems resilience, we partition these timeframes using the proposed Resilience Cycle into two segments: mission resilience and platform resilience. This definition and the associated framework allow for a better discussion of resilience, which can aid in the design, development, operation, and evaluation of a complex system. By considering the entire resilience cycle we can improve analysis and evaluation of resilience in these engineered systems This improved analysis allows for better product life cycle management, which is crucial for improving the performance of new product development (NPD) (Tai, 2017). We introduce the Resilience Cycle as a framework to better differentiate the multiple aspects of resilience and discuss the implications of resilience to the systems design and management process

Resilience Literature Review ProcessExpand/Collapse icon
Attributes of Engineering Resilience LiteratureExpand/Collapse icon
Literature TrendsExpand/Collapse icon
Engineering Resilience DefinitionsExpand/Collapse icon
Related TerminologyExpand/Collapse icon
Proposed DefinitionExpand/Collapse icon
Resilience CycleExpand/Collapse icon
Engineering Resilience Evaluation MethodsExpand/Collapse icon
Qualitative Evaluation MethodsExpand/Collapse icon
Quantitative Evaluation MethodsExpand/Collapse icon
ImplicationsExpand/Collapse icon
Summary and Future WorkExpand/Collapse icon
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Towards a Unified Framework for District Heating Resilience
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Abstract Ensuring an uninterrupted supply of energy, electricity, and heat is becoming a pressing necessity. Resilience is the ability of a system to recover from adversity and in connection with the critical infrastructure – the ability to prepare for and adapt to changing conditions, and withstand and recover rapidly from disruptions. If energy resilience has not been well considered or even ignored in the planning, design, and operation stages in district energy communities can lead to system fragility and vulnerability. Therefore, the research assesses the different methods for resilience assessment in energy systems by focusing on district heating. Based on current studies, the energy resilience assessment is mainly considered for the electricity transmission system. The study on heat supply resilience is limited. During the research of the literature, it has been concluded that there is no consistent quantitative and quality approach to resilience because there is no consistent treatment of the concept of resilience. There is a need for a fundamental generic quantitative and quality approach for resilience, which can be used for the development of resilient systems and effective resilience strategies for district heating systems.

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Study of Resilience in Learning Environments During the Covid-19 Pandemic
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  • Frontiers in Education
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The Covid-19 pandemic has caused a great change in the world. One aspect of the pandemic is its effect on Educational systems. Educators have had to shift to a pure online based system. This shift has been sudden and without any prior warning. Despite this the Educational system has survived and exhibited resilience. The resilience of a system can be determined if the system continues to operate or function as effectively as before a change. Resilience in a system implies the ability to work and develop when the forces in the environment are unexpected, abrupt and sudden as well. The environment may change or evolve but the underlying system must keep functioning, developing and responding. Resilience is a trait in a system. It is a set of characteristics in the system that enables it to sustain itself in the face of change. A resilient system can cope and prosper in the face of change. For the domain of education, the Covid-19 pandemic served as a phenomenal change event and a wakeup call to the education fraternity. As a social system, resilience meant that the people in the educational environment continued to function albeit differently. The environment, meaning the processes, hierarchy and the intricate social ties in the system contributed to the resiliency of the system. Thus the measure of resilience in education has three major facets—people, the technology which facilitates the process and the process environment. This work aims to understand the resilience of the teachers due to the Covid-19 pandemic, especially how learning continued and what contributed to this continuity. Resilience research and understanding is as important as the pedagogical and technological aspects in an Educational system as it is a trait that encompasses the people, the socio-economic system and their relationships. In this work, we analyzed resilience as trait, its relevance in an Educational system, factors that make up resilience in an Educational system and finally the relevant research about resilience in Education during Covid-19. Based on the results of our literature review we formed a model for Educators. A survey was conducted among educators of three countries namely Malaysia, Fiji, and India to determine the essential elements of resilience that were relevant to the continuity of an educational system from the point of view of teachers. We arrived at a set of factors that are relevant to the teachers in the educational systems which can be an impetus for policy makers to focus on and develop. The major results from the study are the need for Educational systems to focus on three facets—internal, interpersonal and external aspects of teachers and strengthen factors such as support for teachers, strong academic leadership, trust of teachers, increase self-motivation, enhance communication with stakeholders and emphasize systems that enhance student-teacher communication. The future areas of research are also discussed in the work.

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Communities around the world living in either urban or rural areas continue to experience serious WASH problems during flood episodes. Communities and individual households are affected differently depending on their coping capacities and their resource base. Flooding causes extensive damage to water and sanitation infrastructure, leaving communities vulnerable to WASH-related illnesses. This paper aimed to analyze factors influencing the community WASH experiences during flood incidences in Tsholotsho District using a Seemingly Unrelated Regression (SUR) model. The quantitative approach was used in this study. A questionnaire was used to collect data from household heads in Tsholotsho District. A total of 218 Questionnaires were administered in four wards that were purposively selected for this study. Gathered data were analyzed using the Statistical Package for Social Sciences (SPSS Version 22) and principal component analysis was done, which culminated in a SUR model. The key findings of the study were that outbreaks of water and hygiene-related diseases, ponding of water which provides a breeding ground for mosquitoes, and contamination of surface water were the major WASH problems experienced in Tsholotsho District among other problems. The study also found that access to Non-Governmental Organisations (NGOs) programs, access to treated water, and level of education were positive and statistically significant in influencing some of the problems experienced during flooding. To increase the coping capacities of Tsholotsho communities, it is pertinent for governments and NGOs to consider implementing more WASH programs, increasing access to safe and clean drinking water, and increasing the level of education of communities.

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ABSTRACTSeismic reliability assessments of water and power supply networks are typically conducted under the assumption of system independence. This article introduces a novel framework for evaluating the seismic reliability of interdependent water and power supply networks, grounded in a comprehensive analysis of their interdependence mechanisms. The proposed framework integrates network flow theory and the Monte Carlo simulation method, leveraging network flow theory to determine the functional status of various system nodes and employing Monte Carlo simulations to account for random factors such as earthquake intensity. The practicality of the framework is validated through a case study in Shangcheng District. The numerical results reveal that: (1) the proposed method effectively evaluates the seismic reliability of interdependent water and power supply networks, and (2) the interdependent mechanisms and network topology significantly impact the seismic reliability of these networks.

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Assessing Engineering Resilience for Systems with Multiple Performance Measures.
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Recently, efforts to model and assess a system's resilience to disruptions due to environmental and adversarial threats have increased substantially. Researchers have investigated resilience in many disciplines, including sociology, psychology, computer networks, and engineering systems, to name a few. When assessing engineering system resilience, the resilience assessment typically considers a single performance measure, a disruption, a loss of performance, the time required to recover, or a combination of these elements. We define and use a resilient engineered system definition that separates system resilience into platform and mission resilience. Most complex systems have multiple performance measures; this research proposes using multiple objective decision analysis to assess system resilience for systems with multiple performance measures using two distinct methods. The first method quantifies platform resilience and includes resilience and other "ilities" directly in the value hierarchy, while the second method quantifies mission resilience and uses the "ilities" in the calculation of the expected mission performance for every performance measure in the value hierarchy. We illustrate the mission resilience method using a transportation systems-of-systems network with varying levels of resilience due to the level of connectivity and autonomy of the vehicles and platform resilience by using a notional military example. Our analysis found that it is necessary to quantify performance in context with specific mission(s) and scenario(s) under specific threat(s) and then use modeling and simulation to help determine the resilience of a system for a given set of conditions. The example demonstrates how incorporating system mission resilience can improve performance for some performance measures while negatively affecting others.

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Recent years have seen the increasing complexity of engineered systems. Complexity and uncertainty also exist in engineered systems’ interactions with human operators, managers, and the organization. Resilience, focusing on a system’s ability to anticipate, absorb, adapt to, and recover from disruptive situations, can provide an umbrella concept that covers reliability and risk-based thinking to ensure these complex systems' safety. This paper discusses the quantitative aspects of the notion of resilience. Like the quantitative risk assessment framework, a generic framework should be developed for quantitative resilience assessment. This paper proposes a framework based on a triplet resilience definition consisting of disruption, functionality, and performance. Uncertainty treatment is also considered. The proposed framework aims to answer the question of “resilience of what to what” and how it can be quantitively assessed.

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To achieve system resilience, one can leverage high-level design features (e.g., redundancies and fail-safes), adjust operational profiles (e.g., load or trajectory), and use appropriate contingency management (e.g., emergency procedures) to mitigate potential hazards. For example, in the design of a novel drone, one would optimize the rotor and battery pack architectures (design), flight-plan (operations), and flight reconfiguration plans (contingency management) to maximize operational value while minimizing failure risk. In this work, the integrated resilience optimization formulation of the resilient design problem is defined, in which the system design, operational profile, and contingency management are optimized in a single framework. To understand how best to leverage this framework in early design exploration, sequential, all-in-one, and bilevel optimization architectures on the exhaustive search of a discrete-variable drone model are then compared in terms of their effectiveness and computational performance. This comparison shows that using a bilevel or all-in-one optimization architecture can lead to better solutions than sequential architectures in design problems where the levels are coupled. Additionally, for this problem, a bilevel structure has lower computational cost than the all-in-one architecture, especially when the lower-level resilience optimization problem is decomposed into independent subproblems for each set of fault modes.

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We introduce and demonstrate ROSE – risk-oriented systems engineering, a new approach that integrates risk aspects with system analysis, modelling and design. ROSE is designed to improve the integration and coordination of system design and risk management by fusing robust design paradigms with risk analytic techniques in a model-based environment. While system design and risk management are two critical systems engineering processes, their integration is loose, because too often systems engineers and risk analysts use different semantics, techniques, and tools. This unfortunate disconnects renders risk management efforts detached from system design and management. Object-process methodology (OPM) is a bimodal visual and textual conceptual modelling language and an emerging ISO Standard (19450) for system modelling and design. Making use of OPM, ROSE integrates risk identification, modelling, analysis, mitigation, and control aspects into the robust system design process, and later into system deployment, configuration, and management. Using a commercial airliners defence system against shoulder missiles as a case in point, we demonstrate the principles and benefits of ROSE in risk-oriented systems.

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  • 10.1002/iis2.12909
A Conceptual Model‐Based Systems Engineering Method for Creating Secure Cyber‐Physical Systems
  • Jul 1, 2022
  • INCOSE International Symposium
  • Martin H Larsen + 2 more

The Air Traffic Control industry is being increasingly exposed to rising levels of risk, as criminals and cyber‐attackers look to exploit system vulnerabilities. Air Navigation Service Providers become more demanding regarding cybersecurity concerns in the products they acquire. Consequently, systems engineers need to consider cyber security concerns early in their system's development life cycle. Model‐Based Systems Engineering methodologies are widely used to manage complex engineering projects in terms of system requirements, design, analysis, verification, and validation activities, leaving cyber security aspects aside. This paper presents a conceptual solution of a model‐based security method that aims to enable systems engineers to perform threat modeling analysis of cyber‐physical systems early and incorporate mitigation strategies into the system design, thereby reducing the cyber‐physical system's overall security‐related risks. Based on a real‐life case study the method will be validated later during execution period from Jan. – May 2022.

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