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The Resource Mathematical modelling of system resilience, Kanchan Das (East Carolina University, USA), Mangey Ram (Graphic Era University, Dehradum, India)

Mathematical modelling of system resilience, Kanchan Das (East Carolina University, USA), Mangey Ram (Graphic Era University, Dehradum, India)

Label
Mathematical modelling of system resilience
Title
Mathematical modelling of system resilience
Statement of responsibility
Kanchan Das (East Carolina University, USA), Mangey Ram (Graphic Era University, Dehradum, India)
Title variation
Mathematical modeling of system resilience
Creator
Contributor
Author
Distributor
Publisher
Subject
Genre
Language
eng
Summary
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 disruptions 3. Resiliency considering frequency and intensities of disasters 4. Resilience performance index 5. Resiliency of electric Traction system 6. Degree of resilience 7. Satellite observation and hydrological risk 8. Latitude of Resilience 9. On-line repair for resilience 10. Reliability design for Vertical Takeoff and landing Prototype
Member of
Cataloging source
CaBNVSL
http://library.link/vocab/creatorName
Das, Kanchan
Dewey number
003
Illustrations
illustrations
Index
index present
LC call number
TA169
LC item number
.D368 2019eb
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Ram, Mangey
  • IEEE Xplore (Online Service)
  • River Publishers
Series statement
River Publishers series in mathematical and engineering sciences
http://library.link/vocab/subjectName
  • Reliability (Engineering)
  • System analysis
Label
Mathematical modelling of system resilience, Kanchan Das (East Carolina University, USA), Mangey Ram (Graphic Era University, Dehradum, India)
Instantiates
Publication
Distribution
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
  • 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 Richard Monroe 1.1 Introduction 1 -- 1.2 Supply Chain Risk Management 2 -- 1.3 Supply Chain Disruptions 4 -- 1.4 Probability and Impact 9 -- 1.5 Developing Resilience in Supply Management 11 -- 1.6 The Role of Purchasing 15 -- 1.6.1 Supplier Development 15 -- 1.6.2 Redundancy 15 -- 1.6.3 Integration 16 -- 1.6.4 Visibility 17 -- 1.6.5 Flexibility 17 -- 1.6.6 Agility 18 -- 1.6.7 Strategic Sourcing 18 -- 1.7 Maturity Models 19 -- 1.8 A Proposed Model for Risk-Integration-Resilience 20 -- 1.9 Conclusion 23 -- References 24 -- 2 Designing a Resilient Consumer Product System 31 Kanchan Das 2.1 Introduction 31 -- 2.2 Study of Background Literature 33 -- 2.2.1 Resilience System Design Approach 34 -- 2.2.2 Resilient Performance Indices for the Systems 35 -- 2.3 Methodology 38 -- 2.3.1 Problem Statement 39 -- 2.3.2 The Resilient Consumer Product Systems Planning Model 39 -- 2.3.2.1 Resilient supply management systems planning 43 -- 2.3.2.2 Resilient manufacturing system planning model 47 -- 2.3.2.3 Resilient product distribution system planning 51 -- 2.4 Numerical Example 56 -- 2.4.1 Model Results for Supply Systems Resilience Coefficient of Performance (SSCP) 57 -- 2.4.2 Model Results for Manufacturing Systems Resilience Coefficient of Performance (MSCP) 59 -- 2.4.3 Model Results for Distribution Systems Resilience Coefficient of Performance (DSCP) 61 -- 2.4.4 Analysis of Resilience Coefficient of Performances and Overall SC Cost 62 -- 2.5 Conclusions 66 -- References 67 -- 3 Definitions of Resilience and Approaches for Mathematical Modelling of Its Various Aspects 71 Jaqueline Hemmers, Matthias Winter, Stefan Pickl, Markus Gerschberger and Benni Thiebes 3.1 Introduction 71 -- 3.2 State of Research 72 -- 3.3 Mathematical Aspects of Resilience 76 -- 3.3.1 Engineering Resilience 77 -- 3.3.2 Ecological Resilience 77
  • 3.3.3 Attractor-Based Resilience 80 -- 3.3.4 Viability-Based Resilience 80 -- 3.4 Conclusion 83 -- References 83 -- 4 Quantified Resilience Estimation of the Safety-Critical Traction Electric Drives 87 Igor Bolvashenkov, Hans-Georg Herzog and Ilia Frenkel 4.1 Introduction 87 -- 4.2 Approach and Methodology 89 -- 4.2.1 Degree of Resiliency 89 -- 4.2.2 Multistate System Reliability Markov Models and Transition Probabilities 92 -- 4.3 Resilient Traction Drive 94 -- 4.3.1 Topology and Components 94 -- 4.3.2 Safety-Critical Failures 94 -- 4.3.3 Multiphase Electric Motor 95 -- 4.3.4 Electric Inverter 99 -- 4.4 Results of Simulation 105 -- 4.5 Conclusion 108 -- References 109 -- 5 Bayes Decision-Making Systems for Quantitative Assessment of Hydrological Climate-Related Risk using Satellite Data 113 Yuriy V. Kostyuchenko, Maxim Yuschenko, Ivan Kopachevsky and Igor Artemenko 5.1 Introduction 114 -- 5.2 Methodological Notes 114 -- 5.2.1 Generalized Stochastic Model of Hydrological Threats 114 -- 5.2.2 Spectral Model of Surface Response to Heat and Water Stress 116 -- 5.3 Materials and Data 119 -- 5.3.1 Satellite Data: Selection, Collection, and Basic Land Cover Classification 119 -- 5.3.2 Satellite Data Analysis: Spectral Processing 122 -- 5.3.3 Satellite Data Calibration using the In-Field Spectrometry Measurements 127 -- 5.3.4 Meteorological and Climatic Data Analysis 130 -- 5.4 Method of the Risk Assessments using Bayes Approach 131 -- 5.5 Conclusions 135 -- References 137 -- 6 Performance Measures of a Complex System with Possible Online Repair 143 Beena Nailwal, Bhagawati Prasad Joshi and Suraj Bhan Singh 6.1 Introduction 143 -- 6.2 Assumptions 145 -- 6.3 Notations 147 -- 6.4 Formulation of Mathematical Model 148 -- 6.5 Solution of the Model 152 -- 6.6 Asymptotic Behavior 156 -- 6.7 Particular Cases 157 -- 6.7.1 When Repair and Inspection Follows Exponential Distribution 157 -- 6.8 Numerical Computation 159 -- 6.8.1 Reliability Analysis 159 -- 6.8.2 Availability Analysis 160
  • 6.8.3 MTTF Analysis 161 -- 6.8.4 Cost Analysis 163 -- 6.8.5 Sensitivity Analysis 164 -- 6.9 Conclusions 167 -- References 168 -- 7 Small Quadrotor Functioning under Rework Analysis 171 Nupur Goyal, Ayush Kumar Dua, Akshay Bhardwaj, Akshay Kumar and Mangey Ram 7.1 Introduction 172 -- 7.2 Mathematical Description of the Propose Model 173 -- 7.2.1 Assumptions 173 -- 7.2.2 Nomenclature 174 -- 7.2.3 Model Formulation 174 -- 7.2.4 Illustration of the Proposed Model 175 -- 7.3 Particular Cases and Numerical Appraisal 178 -- 7.3.1 Availability Analysis 178 -- 7.3.2 Reliability Analysis 179 -- 7.3.3 Mean Time to Failure 180 -- 7.3.4 Sensitivity Analysis 181 -- 7.3.4.1 Sensitivity of Reliability 182 -- 7.3.4.2 Sensitivity of MTTF 182 -- 7.4 Results Conversation 182 -- 7.5 Conclusion 186 -- References 187 -- Index 189 About the Authors 191
Control code
9218784
Dimensions
unknown
Extent
1 PDF (xxv, 192 pages)
Form of item
online
Governing access note
Restricted to subscribers or individual electronic text purchasers
Isbn
9788770220705
Media category
electronic
Media MARC source
isbdmedia
Other physical details
illustrations (some color), color maps.
Specific material designation
remote
System control number
  • (CaBNVSL)mat09218784
  • (IDAMS)0b0000648d199e35
System details
Mode of access: World Wide Web
Label
Mathematical modelling of system resilience, Kanchan Das (East Carolina University, USA), Mangey Ram (Graphic Era University, Dehradum, India)
Publication
Distribution
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
  • 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 Richard Monroe 1.1 Introduction 1 -- 1.2 Supply Chain Risk Management 2 -- 1.3 Supply Chain Disruptions 4 -- 1.4 Probability and Impact 9 -- 1.5 Developing Resilience in Supply Management 11 -- 1.6 The Role of Purchasing 15 -- 1.6.1 Supplier Development 15 -- 1.6.2 Redundancy 15 -- 1.6.3 Integration 16 -- 1.6.4 Visibility 17 -- 1.6.5 Flexibility 17 -- 1.6.6 Agility 18 -- 1.6.7 Strategic Sourcing 18 -- 1.7 Maturity Models 19 -- 1.8 A Proposed Model for Risk-Integration-Resilience 20 -- 1.9 Conclusion 23 -- References 24 -- 2 Designing a Resilient Consumer Product System 31 Kanchan Das 2.1 Introduction 31 -- 2.2 Study of Background Literature 33 -- 2.2.1 Resilience System Design Approach 34 -- 2.2.2 Resilient Performance Indices for the Systems 35 -- 2.3 Methodology 38 -- 2.3.1 Problem Statement 39 -- 2.3.2 The Resilient Consumer Product Systems Planning Model 39 -- 2.3.2.1 Resilient supply management systems planning 43 -- 2.3.2.2 Resilient manufacturing system planning model 47 -- 2.3.2.3 Resilient product distribution system planning 51 -- 2.4 Numerical Example 56 -- 2.4.1 Model Results for Supply Systems Resilience Coefficient of Performance (SSCP) 57 -- 2.4.2 Model Results for Manufacturing Systems Resilience Coefficient of Performance (MSCP) 59 -- 2.4.3 Model Results for Distribution Systems Resilience Coefficient of Performance (DSCP) 61 -- 2.4.4 Analysis of Resilience Coefficient of Performances and Overall SC Cost 62 -- 2.5 Conclusions 66 -- References 67 -- 3 Definitions of Resilience and Approaches for Mathematical Modelling of Its Various Aspects 71 Jaqueline Hemmers, Matthias Winter, Stefan Pickl, Markus Gerschberger and Benni Thiebes 3.1 Introduction 71 -- 3.2 State of Research 72 -- 3.3 Mathematical Aspects of Resilience 76 -- 3.3.1 Engineering Resilience 77 -- 3.3.2 Ecological Resilience 77
  • 3.3.3 Attractor-Based Resilience 80 -- 3.3.4 Viability-Based Resilience 80 -- 3.4 Conclusion 83 -- References 83 -- 4 Quantified Resilience Estimation of the Safety-Critical Traction Electric Drives 87 Igor Bolvashenkov, Hans-Georg Herzog and Ilia Frenkel 4.1 Introduction 87 -- 4.2 Approach and Methodology 89 -- 4.2.1 Degree of Resiliency 89 -- 4.2.2 Multistate System Reliability Markov Models and Transition Probabilities 92 -- 4.3 Resilient Traction Drive 94 -- 4.3.1 Topology and Components 94 -- 4.3.2 Safety-Critical Failures 94 -- 4.3.3 Multiphase Electric Motor 95 -- 4.3.4 Electric Inverter 99 -- 4.4 Results of Simulation 105 -- 4.5 Conclusion 108 -- References 109 -- 5 Bayes Decision-Making Systems for Quantitative Assessment of Hydrological Climate-Related Risk using Satellite Data 113 Yuriy V. Kostyuchenko, Maxim Yuschenko, Ivan Kopachevsky and Igor Artemenko 5.1 Introduction 114 -- 5.2 Methodological Notes 114 -- 5.2.1 Generalized Stochastic Model of Hydrological Threats 114 -- 5.2.2 Spectral Model of Surface Response to Heat and Water Stress 116 -- 5.3 Materials and Data 119 -- 5.3.1 Satellite Data: Selection, Collection, and Basic Land Cover Classification 119 -- 5.3.2 Satellite Data Analysis: Spectral Processing 122 -- 5.3.3 Satellite Data Calibration using the In-Field Spectrometry Measurements 127 -- 5.3.4 Meteorological and Climatic Data Analysis 130 -- 5.4 Method of the Risk Assessments using Bayes Approach 131 -- 5.5 Conclusions 135 -- References 137 -- 6 Performance Measures of a Complex System with Possible Online Repair 143 Beena Nailwal, Bhagawati Prasad Joshi and Suraj Bhan Singh 6.1 Introduction 143 -- 6.2 Assumptions 145 -- 6.3 Notations 147 -- 6.4 Formulation of Mathematical Model 148 -- 6.5 Solution of the Model 152 -- 6.6 Asymptotic Behavior 156 -- 6.7 Particular Cases 157 -- 6.7.1 When Repair and Inspection Follows Exponential Distribution 157 -- 6.8 Numerical Computation 159 -- 6.8.1 Reliability Analysis 159 -- 6.8.2 Availability Analysis 160
  • 6.8.3 MTTF Analysis 161 -- 6.8.4 Cost Analysis 163 -- 6.8.5 Sensitivity Analysis 164 -- 6.9 Conclusions 167 -- References 168 -- 7 Small Quadrotor Functioning under Rework Analysis 171 Nupur Goyal, Ayush Kumar Dua, Akshay Bhardwaj, Akshay Kumar and Mangey Ram 7.1 Introduction 172 -- 7.2 Mathematical Description of the Propose Model 173 -- 7.2.1 Assumptions 173 -- 7.2.2 Nomenclature 174 -- 7.2.3 Model Formulation 174 -- 7.2.4 Illustration of the Proposed Model 175 -- 7.3 Particular Cases and Numerical Appraisal 178 -- 7.3.1 Availability Analysis 178 -- 7.3.2 Reliability Analysis 179 -- 7.3.3 Mean Time to Failure 180 -- 7.3.4 Sensitivity Analysis 181 -- 7.3.4.1 Sensitivity of Reliability 182 -- 7.3.4.2 Sensitivity of MTTF 182 -- 7.4 Results Conversation 182 -- 7.5 Conclusion 186 -- References 187 -- Index 189 About the Authors 191
Control code
9218784
Dimensions
unknown
Extent
1 PDF (xxv, 192 pages)
Form of item
online
Governing access note
Restricted to subscribers or individual electronic text purchasers
Isbn
9788770220705
Media category
electronic
Media MARC source
isbdmedia
Other physical details
illustrations (some color), color maps.
Specific material designation
remote
System control number
  • (CaBNVSL)mat09218784
  • (IDAMS)0b0000648d199e35
System details
Mode of access: World Wide Web

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