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Mathematical Modelling of System Resilience
Almost all the systems in our world, including technical, social, economic, and environmental systems, are becoming interconnected and increasingly complex, and as such they are vulnerable to various risks. Due to this trend, resilience creation is becoming more important to system managers and deci...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Aalborg :
River Publishers,
2019.
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| Colección: | River Publishers Series in Mathematical and Engineering Sciences
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Front Cover; Half Title; RIVER PUBLISHERS SERIES IN MATHEMATICAL AND ENGINEERING SCIENCES; Title
- Mathematical Modelling of; Copyright; Contents; Preface; Acknowledgments; List of Contributors; List of Figures; List of Tables; List of Abbreviations; Chapter 1
- Developing Resilience in Supply Management; 1.1 Introduction; 1.2 Supply Chain Risk Management; 1.3 Supply Chain Disruptions; 1.4 Probability and Impact; 1.5 Developing Resilience in Supply Management; 1.6 The Role of Purchasing; 1.6.1 Supplier Development; 1.6.2 Redundancy; 1.6.3 Integration; 1.6.4 Visibility; 1.6.5 Flexibility
- 1.6.6 Agility1.6.7 Strategic Sourcing; 1.7 Maturity Models; 1.8 A Proposed Model for Risk-Integration-Resilience; 1.9 Conclusion; References; Chapter 2
- Designing a Resilient Consumer Product System; 2.1 Introduction; 2.2 Study of Background Literature; 2.2.1 Resilience System Design Approach; 2.2.2 Resilient Performance Indices for the Systems; 2.3 Methodology; 2.3.1 Problem Statement; 2.3.2 The Resilient Consumer Product Systems Planning Model; 2.3.2.1 Resilient supply management systems planning; 2.3.2.2 Resilient manufacturing system planning model
- 2.3.2.3 Resilient product distribution system planning2.4 Numerical Example; 2.4.1 Model Results for Supply Systems Resilience Coefficient of Performance (SSCP); 2.4.2 Model Results for Manufacturing Systems Resilience Coefficient of Performance (MSCP); 2.4.3 Model Results for Distribution Systems Resilience Coefficient of Performance (DSCP); 2.4.4 Analysis of Resilience Coefficient of Performances and Overall SC Cost; 2.5 Conclusions; References; Chapter 3
- Definitions of Resilience and Approaches for Mathematical Modelling of Its Various Aspects; 3.1 Introduction; 3.2 State of Research
- 3.3 Mathematical Aspects of Resilience3.3.1 Engineering Resilience; 3.3.2 Ecological Resilience; 3.3.3 Attractor-Based Resilience; 3.3.4 Viability-Based Resilience; 3.4 Conclusion; References; Chapter 4
- Quantified Resilience Estimation of the Safety-Critical Traction Electric Drives; 4.1 Introduction; 4.2 Approach and Methodology; 4.2.1 Degree of Resiliency; 4.2.2 Multistate System Reliability Markov Models and Transition Probabilities; 4.3 Resilient Traction Drive; 4.3.1 Topology and Components; 4.3.2 Safety-Critical Failures; 4.3.3 Multiphase Electric Motor; 4.3.4 Electric Inverter
- 4.4 Results of Simulation4.5 Conclusion; References; Chapter 5
- Bayes Decision-Making Systems for Quantitative Assessment of Hydrological Climate-Related Risk using Satellite Data; 5.1 Introduction; 5.2 Methodological Notes; 5.2.1 Generalized Stochastic Model of Hydrological Threats; 5.2.2 Spectral Model of Surface Response to Heat and Water Stress; 5.3 Materials and Data; 5.3.1 Satellite Data: Selection, Collection, and Basic Land Cover Classification; 5.3.2 Satellite Data Analysis: Spectral Processing; 5.3.3 Satellite Data Calibration using the In-Field Spectrometry Measurements