Optimal Resource Allocation: With Practical Statistical Applications and Theory

251 Pages·2013·6.02 MB·English

by  Igor A. Ushakov(eds.)

OPTIMAL RESOURCE ALLOCATION

OPTIMAL RESOURCE
ALLOCATION
With Practical Statistical
Applications and Theory
Igor A. Ushakov
Copyright © 2013 by John Wiley & Sons, Inc. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.
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Library of Congress Cataloging-in-Publication Data
Ushakov, I. A. (Igor Alekseevich)
Optimal resource allocation : with practical statistical applications and theory / Igor A.
Ushakov.
pages cm
Includes bibliographical references and index.
ISBN 978-1-118-38997-3 (cloth)
1. Resource allocation–Statistical methods. I. Title.
T57.77.U84 2013
658.4’033–dc23
2012040258
Printed in the United States of America
10 9 8 7 6 5 4 3 2 1
In memory of John D. Kettelle, Jr.,
my friend, colleague, and informal teacher

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
vii
viii CONTENTS
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
CONTENTS ix
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
x CONTENTS
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
Index 237