Deterministic and fuzzy-based methods to evaluate community resilience

Kammouh, Omar; Noori, Ali Zamani; Taurino, Veronica; Mahin, Stephen A.; Cimellaro, Gian Paolo

doi:10.1007/s11803-018-0440-2

Cited by 40 publications

(18 citation statements)

References 19 publications

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“…Based on the review of the various assessment approaches for supply chain [13,14,16,59], fuzzy logic approach was highly preferred by researchers owing to its capability to incorporate and deal with problems involving impreciseness and vagueness phenomena. From literature, it is evident that researches adopted fuzzy multi-criteria decision-making methods in numerous sectors; for example: to assess sustainability of small urban neighbourhoods [60] and resilience of urban communities [61]; to locate supply chain logistic centres [62]; analysing safety hazards and occupational risks [63]; ranking alternative construction project plans [64] and renewable energy parks [65]; selection of material in the design and fabrication process [66]. The disadvantages of other approaches as that they are inflexible and must be restructured to appropriate the prevailing new circumstances as they involve several levels of linguistic terms or different membership functions usage.…”

Section: Models Focused Onmentioning

confidence: 99%

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

2021

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Worldwide business organizations realize that agility of sustainable supply-chain is a requisite need for survival in a dynamic, competitive, and unpredictable market. The contribution of this research is to explore and evaluate sustainable agility in supply chains for a dairy manufacturing organization located in Saudi Arabia. Other contributions of this research are to update the literature about the different factors contributing to achieve agile supply chain, propose conceptual framework and assessment approach incorporating the relationships between sustainable supply-chain capabilities, enablers, and attributes, and shortlisting the agility barriers and how they would facilitate manufacturing organizations’ performance. The paper presents supply chain agility evaluation approach, which covers identification of agile supply-chain capabilities and drivers. It also presents a conceptual model and a framework to define agility level and barriers within the supply-chain. In the paper, fuzzy logic approach is preferred, owing to its capability to incorporate and deal with problems involving impreciseness and vagueness phenomena. Threshold-value in this study for the case organization is set to 0.24829. The outcome of the adopted approach indicates that 21 attributes performed below the threshold value; these attributes are further categorized as agility barriers. These are the barriers within their supply chain that impact the agility-level. For the case organization, the foremost priority is to enhance maintainability and serviceability to make it flexible and inexpensive to establish an agile responsive supply chain. At the same time, it should have priority to focus on development and integration of their core competencies to deal with cross-functional and cross-enterprise issues in supply chain. For the case organization, the agility level was found “very agile,” although it is below the “extremely agile.” Thus, a study was developed to understand the behaviour of the supply chain agility and assess/evaluate it to support decision makers in order to develop a strategic solution for different organizational barriers.

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Section: Models Focused Onmentioning

confidence: 99%

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

2021

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“…(3) The construction of community resilience frameworks and management strategies. Kammouh et al [18] introduced two methods to calculate resilience, depending on data availability and the complexity of the requirements. The first method requires inputting past disaster data; the model then returns the performance function of each indicator and the entire community.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial–Temporal Evolution of Urban Resilience and Its Influencing Factors: Evidence from the Guanzhong Plain Urban Agglomeration

Wang

Sun

et al. 2020

Sustainability

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Rapid urbanization places great pressure on the ecological environment and the carrying capacity of cities. Improving urban resilience has become an inherent requirement for the sustainable development of modern cities and urban agglomerations. This study constructed a comprehensive system to evaluate urban resilience from four perspectives: The ecological environment, economic level, social environment, and infrastructure services. As a case study, the extreme entropy method and panel data from about 16 cities from 2009 to 2016 were used to calculate resilience levels in the Guanzhong plain urban agglomeration (GPUA) in China. The spatial and temporal evolution of urban resilience characteristics in the GPUA were analyzed using ArcGIS. The influencing factors were further explored using a grey correlation analysis. The results showed that the urban resilience of GPUA experienced geographical differentiation in the “East-Central-Western” area and a “circle type” evolution process. Most urban resilience levels were low. The resilience of the infrastructure and the ecological environment significantly impacted the city and became its development weaknesses. Economic considerations have become one of the main factors influencing fluctuations in urban resilience. In summary, this study explored the differences in resilience in the GPUA and provided a reference for improving the urban resilience of other cities located in underdeveloped regions. The study also provided a useful theoretical basis for sustainable urban development.

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“…The resilience of a community is defined as the ability of its physical and non-physical infrastructure to return to their original functionality level within a reasonable time following a disaster (Ellingwood et al 2016). Recently, much effort has been made to develop general procedures to assess the resilience of existing communities (Bruneau et al 2003;Kammouh et al 2019;Kammouh et al 2018c), and more specific approaches for infrastructure resilience, such as the transportation infrastructure (Kammouh et al 2018a;Nogal and Honfi 2019;Nogal et al 2016;Nogal et al 2017), water infrastructure (Pagano et al 2019;Soldi et al 2015), and building infrastructure Zamani Noori et al 2017). The restoration time of communities and infrastructure is one of the main components of resilience; thus, some works focused solely on the assessment of the restoration time of infrastructure (De Iuliis et al 2019;De Iuliis et al 2020;Kammouh et al 2018b).…”

Section: Introductionmentioning

confidence: 99%

Resilience Quantification of Large-Scale Water Distribution Networks: A Probabilistic Approach

Kammouh

Nogal

Cimellaro

et al. 2020

Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conf

Self Cite

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The capacity of a community to react to and resist during an emergency situation is highly related to the proper functioning of its infrastructure systems. Improving the infrastructure response and recovery capacity through management and adaptation strategies can help increase community resilience. Infrastructural assets are considered outdated in almost all countries in the world. This poses a clear vulnerability to infrastructure systems when subjected to disaster events such as earthquakes. This paper proposes a statistical probabilistic approach to quantify the resilience of large-scale Water Distribution Networks (WDN). The resilience of the network is evaluated using two indices: (1) the number of users without water, and (2) the drop in the total water supply, assuming that the local failure of the system occurs when the water flow and the water pressure go below a certain threshold. A series of earthquake scenarios are applied to the studied water network whose damage is determined using fragility functions that integrate the WDN characteristics with the seismic intensity. As an illustration, the proposed approach is used to quantify the resilience of a WDN in a virtual community testbed with 900,000 inhabitants. Results obtained show interesting correlation between the earthquake occurrence time, the water demand pattern, and the pipes material. The presented approach is the first step towards a systemic planning of the maintenance activities and budget allocation of pipeline networks, where both vulnerability and criticality of pipes are combined to obtain a more comprehensive resilience index of the network.

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Deterministic and fuzzy-based methods to evaluate community resilience

Cited by 40 publications

References 19 publications

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

Spatial–Temporal Evolution of Urban Resilience and Its Influencing Factors: Evidence from the Guanzhong Plain Urban Agglomeration

Resilience Quantification of Large-Scale Water Distribution Networks: A Probabilistic Approach

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