1.

Record Nr.

UNINA9910830034903321

Autore

Nagurney Anna

Titolo

Fragile networks [[electronic resource] ] : identifying vulnerabilities and synergies in an uncertain world / / Anna Nagurney, Qiang Qiang

Pubbl/distr/stampa

Hoboken, NJ, : Wiley, c2009

ISBN

1-282-23734-9

9786612237348

0-470-50113-8

0-470-50112-X

Descrizione fisica

1 online resource (340 p.)

Altri autori (Persone)

QiangQiang <1974->

Disciplina

003/.72

004.65

Soggetti

Network analysis (Planning)

System analysis

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

FRAGILE NETWORKS: Identifying Vulnerabilities and Synergies in an Uncertain World; CONTENTS; List of Figures; List of Tables; PART I NETWORK FUNDAMENTALS, EFFICIENCY MEASUREMENT, AND VULNERABILITY ANALYSIS; 1 Introduction and Overview; 2 Fundamental Methodologies, Network Models, and Algorithms; 2.1 Review of Variational Inequality Theory and its Relationships to Optimization; 2.2 Decentralized Decision-Making and User-Optimization; 2.2.1 The Network Equilibrium (U-O) Model with Fixed Demands; 2.2.2 Network Equilibrium (U-O) Models with Elastic Demands

2.3 Centralized Decision-Making and System-Optimization2.3.1 The System-Optimization (S-O) Models; 2.3.2 System-Optimality Conditions; 2.4 Algorithms; 2.4.1 Equilibration Algorithms; 2.4.2 The Projection Method; 2.4.3 The Modified Projection Method; 2.4.4 The Euler Method; 2.5 Sources and Notes; 3 Network Performance Measurement and Robustness Analysis; 3.1 Some Preliminaries and Network Centrality Measures; 3.2 A Unified Network Performance Measure Based on Decentralized Decision-Making; 3.2.1 A Desirable Property of the Network Performance Measure; 3.2.2 The Importance of



Network Components

3.2.3 Numerical Examples3.2.4 An Application of the New Network Measure to the Braess Network with Varying Demands; 3.3 A Network Robustness Measure Under Decentralized Decision-Making Behavior; 3.3.1 Some Theoretical Results for the Network Robustness Measure under BPR Functions and Fixed Demands; 3.3.2 A Braess-Inspired Network; 3.4 Relative Total Cost Indices for Assessing Network Robustness; 3.4.1 Theoretical Results for Networks with BPR Functions; 3.4.2 A Network Example; 3.5 Summary and Conclusions; 3.6 Sources and Notes; PART II APPLICATIONS AND EXTENSIONS

4 Application of the Measures to Transportation Networks4.1 A Larger Fixed Demand Network; 4.2 The Sioux Falls Network; 4.2.1 Importance of Links in the Sioux Falls Network; 4.2.2 Robustness of the Sioux Falls Network; 4.2.3 The Relative Total Cost Indices for the Sioux Falls Network; 4.3 The Anaheim Network; 4.3.1 Robustness of the Anaheim Network; 4.3.2 The Relative Total Cost Indices for the Anaheim Network; 4.4 The Environmental Robustness and Link Importance of Transportation Networks; 4.4.1 Environmental Emissions

4.4.2 Environmental Impact Assessment Indices for Transportation Networks4.4.3 Environmental Link Importance Identification and Ranking; 4.4.4 Numerical Examples; 4.5 Summary and Conclusions; 4.6 Sources and Notes; 5 Supply Chain Networks with Disruption Risks; 5.1 Introduction; 5.2 The Supply Chain Model with Disruption Risks and Random Demands; 5.2.1 The Behavior of the Manufacturers; 5.2.2 The Behavior of the Retailers; 5.2.3 The Market Equilibrium Conditions; 5.2.4 The Equilibrium Conditions of the Supply Chain; 5.3 A Weighted Supply Chain Performance Measure

5.3.1 A Supply Chain Network Performance Measure

Sommario/riassunto

A unified treatment of the vulnerabilities that exist in real-world network systems-with tools to identify synergies for mergers and acquisitions Fragile Networks: Identifying Vulnerabilities and Synergies in an Uncertain World presents a comprehensive study of network systems and the roles these systems play in our everyday lives. This book successfully conceptualizes, defines, and constructs mathematically rigorous, computer-based tools for the assessment of network performance and efficiency, along with robustness and vulnerability analysis. The result is a thorough explorat