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Mathematical Modelling of System Resilience [Kõva köide]

(Graphic Era University, Uttarakhand), (East Carolina University)
  • Formaat: Hardback, 218 pages, kõrgus x laius: 234x156 mm, kaal: 560 g
  • Ilmumisaeg: 31-Mar-2019
  • Kirjastus: River Publishers
  • ISBN-10: 8770220700
  • ISBN-13: 9788770220705
Teised raamatud teemal:
Mathematical Modelling of System ResilienceSuurem pilt
  • Formaat: Hardback, 218 pages, kõrgus x laius: 234x156 mm, kaal: 560 g
  • Ilmumisaeg: 31-Mar-2019
  • Kirjastus: River Publishers
  • ISBN-10: 8770220700
  • ISBN-13: 9788770220705
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9788770220705.html
Märksõnad:
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 decision makers, this to ensure sustained performance. In order to be able to ensure an acceptable sustained performance under such interconnectedness and complexity, resilience creation with a system approach is a requirement. Mathematical modeling based approaches are the most common approach for system resilience creation.Mathematical Modelling of System Resilience covers resilience creation for various system aspects including a functional system of the supply chain, overall supply chain systems; various methodologies for modeling system resilience; satellite-based approach for addressing climate related risks, repair-based approach for sustainable performance of an engineering system, and modeling measures of the reliability for a vertical take-off and landing system. Each of the chapters contributes state of the art research for the relevant resilience related topic covered in the chapter. Technical topics covered in the book include:1. Supply chain risk, vulnerability and disruptions 2. System resilience for containing failures and disruptions3. Resiliency considering frequency and intensities of disasters4. Resilience performance index5. Resiliency of electric Traction system6. Degree of resilience7. Satellite observation and hydrological risk8. Latitude of Resilience9. On-line repair for resilience10. Reliability design for Vertical Takeoff and landing Prototype
Preface xi
Acknowledgments xv
List of Contributors
xvii
List of Figures
xix
List of Tables
xxiii
List of Abbreviations
xxv
1 Developing Resilience in Supply Management
1(30)
Richard Monroe
1.1 Introduction
1(1)
1.2 Supply Chain Risk Management
2(2)
1.3 Supply Chain Disruptions
4(5)
1.4 Probability and Impact
9(2)
1.5 Developing Resilience in Supply Management
11(4)
1.6 The Role of Purchasing
15(4)
1.6.1 Supplier Development
15(1)
1.6.2 Redundancy
15(1)
1.6.3 Integration
16(1)
1.6.4 Visibility
17(1)
1.6.5 Flexibility
17(1)
1.6.6 Agility
18(1)
1.6.7 Strategic Sourcing
18(1)
1.7 Maturity Models
19(1)
1.8 A Proposed Model for Risk-Integration-Resilience
20(3)
1.9 Conclusion
23(8)
References
24(7)
2 Designing a Resilient Consumer Product System
31(40)
Kanchan Das
2.1 Introduction
31(2)
2.2 Study of Background Literature
33(5)
2.2.1 Resilience System Design Approach
34(1)
2.2.2 Resilient Performance Indices for the Systems
35(3)
2.3 Methodology
38(18)
2.3.1 Problem Statement
39(1)
2.3.2 The Resilient Consumer Product Systems Planning Model
39(4)
2.3.2.1 Resilient supply management systems planning
43(4)
2.3.2.2 Resilient manufacturing system planning model
47(4)
2.3.2.3 Resilient product distribution system planning
51(5)
2.4 Numerical Example
56(10)
2.4.1 Model Results for Supply Systems Resilience Coefficient of Performance (SSCP)
57(2)
2.4.2 Model Results for Manufacturing Systems Resilience Coefficient of Performance (MSCP)
59(2)
2.4.3 Model Results for Distribution Systems Resilience Coefficient of Performance (DSCP)
61(1)
2.4.4 Analysis of Resilience Coefficient of Performances and Overall SC Cost
62(4)
2.5 Conclusions
66(5)
References
67(4)
3 Definitions of Resilience and Approaches for Mathematical Modelling of Its Various Aspects
71(16)
Jaqueline Hemmers
Matthias Winter
Stefan Pickl
Markus Gerschberger
Benni Thiebes
3.1 Introduction
71(1)
3.2 State of Research
72(4)
3.3 Mathematical Aspects of Resilience
76(7)
3.3.1 Engineering Resilience
77(1)
3.3.2 Ecological Resilience
77(3)
3.3.3 Attractor-Based Resilience
80(1)
3.3.4 Viability-Based Resilience
80(3)
3.4 Conclusion
83(4)
References
83(4)
4 Quantified Resilience Estimation of the Safety-Critical Traction Electric Drives
87(26)
Igor Bolvashenkov
Hans-Georg Herzog
Ilia Frenkel
4.1 Introduction
87(2)
4.2 Approach and Methodology
89(5)
4.2.1 Degree of Resiliency
89(3)
4.2.2 Multistate System Reliability Markov Models and Transition Probabilities
92(2)
4.3 Resilient Traction Drive
94(11)
4.3.1 Topology and Components
94(1)
4.3.2 Safety-Critical Failures
94(1)
4.3.3 Multiphase Electric Motor
95(4)
4.3.4 Electric Inverter
99(6)
4.4 Results of Simulation
105(3)
4.5 Conclusion
108(5)
References
109(4)
5 Bayes Decision-Making Systems for Quantitative Assessment of Hydrological Climate-Related Risk using Satellite Data
113(30)
Yuriy V. Kostyuchenko
Maxim Yuschenko
Ivan Kopachevsky
Igor Artemenko
5.1 Introduction
114(1)
5.2 Methodological Notes
114(5)
5.2.1 Generalized Stochastic Model of Hydrological Threats
114(2)
5.2.2 Spectral Model of Surface Response to Heat and Water Stress
116(3)
5.3 Materials and Data
119(12)
5.3.1 Satellite Data: Selection, Collection, and Basic Land Cover Classification
119(3)
5.3.2 Satellite Data Analysis: Spectral Processing
122(5)
5.3.3 Satellite Data Calibration using the In-Field Spectrometry Measurements
127(3)
5.3.4 Meteorological and Climatic Data Analysis
130(1)
5.4 Method of the Risk Assessments using Bayes Approach
131(4)
5.5 Conclusions
135(8)
References
137(6)
6 Performance Measures of a Complex System with Possible Online Repair
143(28)
Beena Nailwal
Bhagawati Prasad Joshi
Suraj Bhan Singh
6.1 Introduction
143(2)
6.2 Assumptions
145(2)
6.3 Notations
147(1)
6.4 Formulation of Mathematical Model
148(4)
6.5 Solution of the Model
152(4)
6.6 Asymptotic Behavior
156(1)
6.7 Particular Cases
157(2)
6.7.1 When Repair and Inspection Follows Exponential Distribution
157(2)
6.8 Numerical Computation
159(8)
6.8.1 Reliability Analysis
159(1)
6.8.2 Availability Analysis
160(1)
6.8.3 MTTF Analysis
161(2)
6.8.4 Cost Analysis
163(1)
6.8.5 Sensitivity Analysis
164(3)
6.9 Conclusions
167(4)
References
168(3)
7 Small Quadrotor Functioning under Rework Analysis
171(18)
Nupur Goyal
Ayush Kumar Dua
Akshay Bhardwaj
Akshay Kumar
Mangey Ram
7.1 Introduction
172(1)
7.2 Mathematical Description of the Propose Model
173(5)
7.2.1 Assumptions
173(1)
7.2.2 Nomenclature
174(1)
7.2.3 Model Formulation
174(1)
7.2.4 Illustration of the Proposed Model
175(3)
7.3 Particular Cases and Numerical Appraisal
178(4)
7.3.1 Availability Analysis
178(1)
7.3.2 Reliability Analysis
179(1)
7.3.3 Mean Time to Failure
180(1)
7.3.4 Sensitivity Analysis
181(1)
7.3.4.1 Sensitivity of Reliability
182(1)
7.3.4.2 Sensitivity of MTTF
182(1)
7.4 Results Conversation
182(4)
7.5 Conclusion
186(3)
References
187(2)
Index 189(2)
About the Authors 191
Kanchan Das, East Carolina University, USA

Mangey Ram, Graphic Era University, Dehradun, India