Towards a Generic Resilience Management, Quantification and Development Process: General Definitions, Requirements, Methods, Techniques and Measures, and Case Studies

Häring, Ivo; Sansavini, Giovanni; Bellini, Emanuele; Martyn, Nick; Коваленко, Т. В.; Kitsak, Maksim; Vogelbacher, Georg; Roß, Katharina; Bergerhausen, Ulrich; Barker, Kash; Linkov, Igor

doi:10.1007/978-94-024-1123-2_2

Cited by 37 publications

(15 citation statements)

References 123 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed approach can be classified at the 3rd tier according to the resilience assessment method classification defined in [ 53 , 54 ]. In fact, they not only can be considered a means to enhance the system resilience thanks to their capability of dampening the system variability, but they allow quantitative resilience assessment and data-driven resilience management.…”

Section: U-bmd Architecturementioning

confidence: 99%

An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities

Bellini

Cenni

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

Today, the complexity of urban systems combined with existing and emerging threats constrains administrations to consider smart technologies and related huge amounts of data generated as a means to take timely and informed decisions. The smart city needs to be prepared for both expected and unexpected situations, and the possibility to mitigate the effect of the uncertainty behind the causes of disruptions through the analysis of all the possible data generated by the city open new possibility for resilience operationalization. This article aims at introducing a new conceptualization for resilience and presenting an innovative full stack solution to exploit Internet of Everything (IoE) and big multimedia data in smart cities to manage resilience of urban transport systems (UTS), which is one of the most critical infrastructures of the city. The approach is based on a novel data driven approach to resilience engineering and functional resonance analysis method (FRAM), to understand and model an UTS in the context of smart cities and to support evidence driven decision making. The paper proposes an architecture taking into account: (a) different kinds of available data generated in the smart city, (b) big data collection and semantic aggregation and enrichment; (c) data sense-making process composed by analytics of different data sources like social media, communication networks, IoT, user behavior; (d) tools for knowledge driven decisions able to combine different information generated by analytics, experience, and structural information of the city into a comprehensive and evidence driven decision model. The solution has been applied in Florence metropolitan city in the context of RESOLUTE H2020 research project of the European Commission.

show abstract

Section: U-bmd Architecturementioning

confidence: 99%

An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities

Bellini

Cenni

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to Häring et al (2017), resilience is "the human capacity to face, win and be strengthened or transformed by adversity experiences." Thus, in the organizational scope, resilience can be defined as "the ability to recover from setbacks, adapt well to changes and continue to face adversity" (Linnenluecke, 2017).…”

Section: Resiliencementioning

confidence: 99%

Resilience Meets Sustainable and Spiritual Background Into an Initial Review for the New Normal After the COVID-19 Pandemic

et al. 2021

View full text Add to dashboard Cite

Objective: This work aims to generate an initial basis for a discussion of the strategic structuring of values that impact the perspective of planning at its different levels within the scope of organizational human relations. The value highlighted in this article is an intersection between organizational resilience and spirituality at work, through which production systems can maintain internal quality even after conforming to external pressures from the environment and moving toward sustainability.Design/Methodology/Approach: The methodology applied in this research consists of consulting and organizing a previous knowledge base of a research and development group in technology and sustainability. This knowledge base is based on research, articles, and books on sustainability and corporate responsibility. Then, this more sedimented knowledge base finds the most recent construction of the concept of spirituality in the workplace for the topic of interest from a triangulation of the concept of resilience, corporate sustainability, and spirituality at work.Results: The main findings of this research, if in the reflections on the impact of attribute resilience in the development and maintenance of productive systems. The main issue observed is the correspondence of the identity of the human being with identity, enabling the production of a predictable planning environment in the aspects of motivation and engagement to overcome moments of crisis.Originality/Value: The originality of the article involves the construction of an abstract approach system to understand an attribute that, according to the literature, can be developed and articulated to achieve a perennial organizational performance in society.

show abstract

“…In order to overcome the limits of the presented approaches, we aimed at providing a new resilience assessment method at Tier 2, and able to integrate the property of systemic view, speed and cost-effective solution of Tier 1 with the need of accuracy that is usually obtained with relevant investment of resources as happens in Tier 3 [26], [47]. The objective has been to create a FRAM-driven fast-forward and robust toolkit able to quantify the current system capacity of coping to unwanted performance variability under unexpected/emerging changing conditions to support timely and accurate decision-making on system resilience management.…”

Section: Related Workmentioning

confidence: 99%

A Functional Resonance Analysis Method Driven Resilience Quantification for Socio-Technical Systems

Bellini

Coconea

Nesi

2020

IEEE Systems Journal

Self Cite

View full text Add to dashboard Cite

Due to the continuous increment in complexity of the socio-technical systems, decision makers call for new methods which are able to support timely as well as accurate decisionmaking related to resilience management. The current methods tend to be polarized on: efficiency-thoroughness forcing decision makers in making decisions on the base of resource availability instead of the problem to be solved. This paper presents a new fast-forward, cost-effective, and thorough enough framework to quantify resilience of a complex socio-technical system. The approach extends the functional resonance analysis method (FRAM) with a numerical method for the quantification of the analysis (Q-FRAM). In particular, it has been extended and operationalized the qualitative concepts of functional variability and dumping capacities into a method in which key performance indicators are derived from the model and aggregated into four indicators representing the FRAM resilience cornerstones (anticipate, respond, monitor, learn) through a bottom-up hierarchical approach. Finally, the four indicators are composed in a unique system resilience index that expresses the total variability present in the system at instant t. A numerical example of the use of the framework is provided together with a validation based on a comparison of the proposed approach with the current landscape.

show abstract

Towards a Generic Resilience Management, Quantification and Development Process: General Definitions, Requirements, Methods, Techniques and Measures, and Case Studies

Cited by 37 publications

References 123 publications

An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities

An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities

Resilience Meets Sustainable and Spiritual Background Into an Initial Review for the New Normal After the COVID-19 Pandemic

A Functional Resonance Analysis Method Driven Resilience Quantification for Socio-Technical Systems

Contact Info

Product

Resources

About