Analyzing Deformation of Supply Chain Resilient System Based on Cell Resilience Model

Li, Yonghong; Zhao, Lindu

doi:10.1007/978-3-642-15621-2_4

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…In recent years, quantitative methodologies for resilience evaluation have generated a lot of research interest [21]. In general, these methodologies can be divided into three types: numerical analysis-based approaches [4,5,22,23], optimization-based approaches [24,25] and data-based approaches [27,28,29,30].…”

Section: General Methodologies In Assessing System Resiliencementioning

confidence: 99%

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Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach

Yin

Ren

Liu

et al. 2022

Reliability Engineering & System Safety

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Section: General Methodologies In Assessing System Resiliencementioning

confidence: 99%

“…The proposed mathematical model generates the best bus network layout that optimizes the system resilience. Li and Zhao [25] proposed a mathematical model for analyzing supply chain resilience. The model objective function was defined based on resilience cells with self-adaptive and self-recovery abilities.…”

Section: Optimization Based Methodsmentioning

confidence: 99%

Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach

Yin

Ren

Liu

et al. 2022

Reliability Engineering & System Safety

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“…He defined resilience as "the persistence of relationships within a system and is a measure of the ability of these systems to absorb changes in state variables, driving variables, and parameters" [3]. In subsequent multidisciplinary research, the concept of resilience has been widely applied, including in the fields of ecology [4], economics, transportation [5], supply chain management [6], strategic management [7], and safety engineering [8], among others. The number of resilience studies from 1973 to the present is shown in Figure 1 [9].…”

Section: Related Literature 21 Resilience Theory Researchmentioning

confidence: 99%

Resilience Analysis of Traffic Network under Emergencies: A Case Study of Bus Transit Network

Huang,

Wang

2023

Applied Sciences

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With the continuous development of public transportation, the impact of unexpected events on the operation of bus networks has become increasingly severe due to the growing demand for public transportation and passenger volume. To accurately assess the impact of unexpected events on the operation of bus networks and scientifically evaluate their resilience, this paper proposes a framework for analyzing the resilience of bus networks. With the aim of providing scientific evidence to enhance the reliability of public transportation networks, this framework can be used to determine the resilience of bus networks to unexpected events. The main contributions of this framework include three aspects: 1. Construction of the CRITIC–entropy weighting model for screening and calculating key indicators of the resilience of the bus network; 2. Use of resilience cycle theory to construct a model for analyzing the resilience of bus routes, and design a set of resilience quantification factors to calculate the resilience of bus routes; 3. Use of complex network theory to construct a model for analyzing the resilience of the bus network, by taking the bus route resilience obtained in the second step as the edge weight to calculate the resilience of the bus network. This paper takes the Beijing public transit system as an example and uses real data to verify the accuracy, scientificity, and feasibility of the proposed framework for analyzing the resilience of public transit networks to sudden events. The resilience analysis framework constructed in this paper has improved the existing research on transportation network resilience in theoretical aspects. Furthermore, the results outputted by this framework can provide a decision-making basis for network adjustment and disaster recovery for the management departments of public transportation networks in practical applications.

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“…Solve (18) to obtain the relaxation time (the time that the stress decreased from the initial value to its1/ e ):…”

Section: Model Formulation and Solutionmentioning

confidence: 99%

“…Zhao (2009) therefore introduced cell viscoelasticity theory to the research of supply chain, and defined resilience as the ability of self-adaption and self-organization of supply chain system [16]. Zhao and Li (2009) regarded the supply chain system as a cell, proposed a supply chain resilience model, and studied the variation laws of supply chain under risk shocks [17][18][19], which laid a foundation for the quantitative research of supply chain resilience system.…”

Section: Introductionmentioning

confidence: 99%

Research on measuring method of supply chain resilience based on biological cell elasticity theory

Shi

Wang

Zhao

2011

2011 IEEE International Conference on Industrial Engineering and Engineering Management

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In supply chain management, it is easy to make the supply chain system vulnerable, lack of resilience and even disorderly if we simply emphasize lower costs and higher efficiency. The subject on how to strengthen the resilience of supply chain has attracted more and more scholars' attention. However, relevant studies are mostly concentrated on qualitative analysis. In this paper, a quantitative measuring method, referring to stress relaxation time of material mechanics, was proposed based on the biological cell elasticity theory, which is helpful to the research of supply chain resilience in quantitative approach. Then the impact of different factors on supply chain resilience was discussed. The results are consistent with the realistic situation and indicate that the measuring model is reasonable and right under the assumed conditions.

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Analyzing Deformation of Supply Chain Resilient System Based on Cell Resilience Model

Cited by 6 publications

References 15 publications

Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach

Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach

Resilience Analysis of Traffic Network under Emergencies: A Case Study of Bus Transit Network

Research on measuring method of supply chain resilience based on biological cell elasticity theory

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