Description

Book Synopsis
A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION

Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems.

Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features:

  • An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology
  • Numerous exercises and case studies from a variety of areas, including communications, transportation, e

    Table of Contents

    Preface xi

    1 BASIC MATHEMATICAL REDUNDANCY MODELS 1

    1.1 Types of Models 2

    1.2 Non-repairable Redundant Group with Active Redundant Units 3

    1.3 Non-repairable Redundant Group with Standby Redundant Units 7

    1.4 Repairable Redundant Group with Active Redundant Units 10

    1.5 Repairable Redundant Group with Standby Redundant Units 13

    1.6 Multi-level Systems and System Performance Estimation 15

    1.7 Brief Review of Other Types of Redundancy 16

    1.8 Time Redundancy 24

    1.9 Some Additional Optimization Problems 27

    Chronological Bibliography of Main Monographs on Reliability Theory (with topics on Optimization) 30

    2 FORMULATION OF OPTIMAL REDUNDANCY PROBLEMS 33

    2.1 Problem Description 33

    2.2 Formulation of the Optimal Redundancy Problem with a Single Restriction 35

    2.3 Formulation of Optimal Redundancy Problems with Multiple Constraints 39

    2.4 Formulation of Multi-Criteria Optimal Redundancy Problems 43

    Chronological Bibliography 45

    3 METHOD OF LAGRANGE MULTIPLIERS 48

    Chronological Bibliography 55

    4 STEEPEST DESCENT METHOD 56

    4.1 The Main Idea of SDM 56

    4.2 Description of the Algorithm 57

    4.3 The Stopping Rule 60

    4.5 Approximate Solution 66

    Chronological Bibliography 68

    5 DYNAMIC PROGRAMMING 69

    5.1 Bellman’s Algorithm 69

    5.2 Kettelle’s Algorithm 73

    Chronological Bibliography 84

    6 UNIVERSAL GENERATING FUNCTIONS 85

    6.1 Generating Function 85

    6.2 Universal GF (U-function) 87

    Chronological Bibliography 94

    7 GENETIC ALGORITHMS 96

    7.1 Introduction 96

    7.2 Structure of Steady-State Genetic Algorithms 100

    7.3 Related Techniques 102

    Chronological Bibliography 104

    8 MONTE CARLO SIMULATION 107

    8.1 Introductory Remarks 107

    8.2 Formulation of Optimal Redundancy Problems in Statistical Terms 108

    8.3 Algorithm for Trajectory Generation 108

    8.4 Description of the Idea of the Solution 111

    8.5 Inverse Optimization Problem 114

    8.6 Direct Optimization Problem 124

    Chronological Bibliography 129

    9 COMMENTS ON CALCULATION METHODS 130

    9.1 Comparison of Methods 130

    9.2 Sensitivity Analysis of Optimal Redundancy Solutions 135

    10 OPTIMAL REDUNDANCY WITH SEVERAL LIMITING FACTORS 142

    10.1 Method of “Weighing Costs” 142

    10.2 Method of Generalized Generating Functions 146

    Chronological Bibliography 149

    11 OPTIMAL REDUNDANCY IN MULTISTATE SYSTEMS 150

    Chronological Bibliography 170

    12 CASE STUDIES 172

    12.1 Spare Supply System for Worldwide Telecommunication System Globalstar 172

    12.2 Optimal Capacity Distribution of Telecommunication Backbone Network Resources 179

    12.3 Optimal Spare Allocation for Mobile Repair Station 183

    Chronological Bibliography 190

    13 COUNTER-TERRORISM: PROTECTION RESOURCES ALLOCATION 191

    13.1 Introduction 191

    13.2 Written Description of the Problem 192

    13.3 Evaluation of Expected Loss 195

    13.4 Algorithm of Resource Allocation 197

    13.5 Branching System Protection 201

    13.6 Fictional Case Study 210

    13.7 Measures of Defense, Their Effectiveness, and Related Expenses 217

    13.8 Antiterrorism Resource Allocation under Fuzzy Subjective Estimates 223

    13.9 Conclusion 232

    Chronological Bibliography 232

    About the author 235

Optimal Resource Allocation

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    A Hardback by Igor A. Ushakov

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      View other formats and editions of Optimal Resource Allocation by Igor A. Ushakov

      Publisher: John Wiley & Sons Inc
      Publication Date: 17/05/2013
      ISBN13: 9781118389973, 978-1118389973
      ISBN10: 1118389972
      Also in:
      Optimization

      Description

      Book Synopsis
      A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION

      Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems.

      Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features:

      • An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology
      • Numerous exercises and case studies from a variety of areas, including communications, transportation, e

        Table of Contents

        Preface xi

        1 BASIC MATHEMATICAL REDUNDANCY MODELS 1

        1.1 Types of Models 2

        1.2 Non-repairable Redundant Group with Active Redundant Units 3

        1.3 Non-repairable Redundant Group with Standby Redundant Units 7

        1.4 Repairable Redundant Group with Active Redundant Units 10

        1.5 Repairable Redundant Group with Standby Redundant Units 13

        1.6 Multi-level Systems and System Performance Estimation 15

        1.7 Brief Review of Other Types of Redundancy 16

        1.8 Time Redundancy 24

        1.9 Some Additional Optimization Problems 27

        Chronological Bibliography of Main Monographs on Reliability Theory (with topics on Optimization) 30

        2 FORMULATION OF OPTIMAL REDUNDANCY PROBLEMS 33

        2.1 Problem Description 33

        2.2 Formulation of the Optimal Redundancy Problem with a Single Restriction 35

        2.3 Formulation of Optimal Redundancy Problems with Multiple Constraints 39

        2.4 Formulation of Multi-Criteria Optimal Redundancy Problems 43

        Chronological Bibliography 45

        3 METHOD OF LAGRANGE MULTIPLIERS 48

        Chronological Bibliography 55

        4 STEEPEST DESCENT METHOD 56

        4.1 The Main Idea of SDM 56

        4.2 Description of the Algorithm 57

        4.3 The Stopping Rule 60

        4.5 Approximate Solution 66

        Chronological Bibliography 68

        5 DYNAMIC PROGRAMMING 69

        5.1 Bellman’s Algorithm 69

        5.2 Kettelle’s Algorithm 73

        Chronological Bibliography 84

        6 UNIVERSAL GENERATING FUNCTIONS 85

        6.1 Generating Function 85

        6.2 Universal GF (U-function) 87

        Chronological Bibliography 94

        7 GENETIC ALGORITHMS 96

        7.1 Introduction 96

        7.2 Structure of Steady-State Genetic Algorithms 100

        7.3 Related Techniques 102

        Chronological Bibliography 104

        8 MONTE CARLO SIMULATION 107

        8.1 Introductory Remarks 107

        8.2 Formulation of Optimal Redundancy Problems in Statistical Terms 108

        8.3 Algorithm for Trajectory Generation 108

        8.4 Description of the Idea of the Solution 111

        8.5 Inverse Optimization Problem 114

        8.6 Direct Optimization Problem 124

        Chronological Bibliography 129

        9 COMMENTS ON CALCULATION METHODS 130

        9.1 Comparison of Methods 130

        9.2 Sensitivity Analysis of Optimal Redundancy Solutions 135

        10 OPTIMAL REDUNDANCY WITH SEVERAL LIMITING FACTORS 142

        10.1 Method of “Weighing Costs” 142

        10.2 Method of Generalized Generating Functions 146

        Chronological Bibliography 149

        11 OPTIMAL REDUNDANCY IN MULTISTATE SYSTEMS 150

        Chronological Bibliography 170

        12 CASE STUDIES 172

        12.1 Spare Supply System for Worldwide Telecommunication System Globalstar 172

        12.2 Optimal Capacity Distribution of Telecommunication Backbone Network Resources 179

        12.3 Optimal Spare Allocation for Mobile Repair Station 183

        Chronological Bibliography 190

        13 COUNTER-TERRORISM: PROTECTION RESOURCES ALLOCATION 191

        13.1 Introduction 191

        13.2 Written Description of the Problem 192

        13.3 Evaluation of Expected Loss 195

        13.4 Algorithm of Resource Allocation 197

        13.5 Branching System Protection 201

        13.6 Fictional Case Study 210

        13.7 Measures of Defense, Their Effectiveness, and Related Expenses 217

        13.8 Antiterrorism Resource Allocation under Fuzzy Subjective Estimates 223

        13.9 Conclusion 232

        Chronological Bibliography 232

        About the author 235

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