Handbook of Operations Research for Homeland Security

Online-Ressource (XIV, 221 p. 39 illus., 23 illus. in color, digital)

International Series in Operations Research & Management Science ; 183

Description based upon print version of record

Handbook of Operations Research for Homeland Security; Preface; Contents; Contributors; Chapter 1: Using Operations Research Methods for Homeland Security Problems; 1.1 Introduction; 1.2 How to Use Operations Research; 1.3 What Happened? Finding Patterns in Data; 1.3.1 Data Mining; 1.3.2 Monitoring Time Series Data; 1.4 What Could Happen? Building Stochastic Models; 1.4.1 Risk Analysis; 1.4.2 Queueing Models; 1.4.3 Simulation Models; 1.5 What Should We Do? Making Decisions; 1.5.1 Decision Analysis; 1.5.2 Game Theory; 1.6 What Is the Best Solution? Solving Problems with Optimization

1.6.1 Mathematical Programming1.6.2 Facility Location Problems; 1.6.3 Vehicle Routing Problems; 1.7 Summary; References; Chapter 2: Operations Research and Homeland Security: Overview and Case Study of Pandemic Influenza; 2.1 Introduction and Overview; 2.2 OR-Informed Decisions for Homeland Security; 2.3 Pandemic Flu: Background; 2.4 Vaccine Allocation and Distribution During the 2009 H1N1 Pandemic; 2.5 Steps to Take Prior to Arrival of the Vaccine; 2.6 Using Operations Research Approaches to Find a Better Way to Allocate Vaccine; 2.7 Results; 2.8 Discussion; 2.9 Thought Experiment

2.10 ConclusionReferences; Chapter 3: Deployed Security Games for Patrol Planning; 3.1 Introduction; 3.2 Related Work; 3.3 Methodology; 3.3.1 Stackelberg Equilibrium; 3.3.2 Security Game Representation; 3.3.3 Solution Method; 3.4 Software Systems Deployed at the LAX and FAMS Domains; 3.4.1 Software Assistants; 3.4.2 LAX Domain: ARMOR; 3.4.3 FAMS Domain: IRIS; 3.4.4 Lessons Learned; 3.5 A Generic Network Security Problem; 3.5.1 Building a Data-Driven Security Game; 3.5.2 Additional Considerations in a Data-Driven Security Game; 3.6 Conclusions; References

Chapter 4: Interdiction Models and Applications4.1 Delaying an Adversary´s Nuclear Weapons Project; 4.1.1 Project Management for a First Nuclear Weapon; 4.1.2 Formulation and Tractability in Delaying a Project; 4.1.3 Practical Implications and Insights; 4.2 Vulnerabilities in the Electric Power Grid; 4.2.1 Interdicting the Electric Power Grid; 4.2.2 Formulation and Tractability; 4.2.3 Practical Implications and Insights; 4.3 Monitoring Our Drinking Water Supply; 4.3.1 Locating Sensors to Monitor Drinking Water Networks; 4.3.2 Formulation and Tractability

4.3.3 Practical Implications and Insights4.4 Securing a Border Against a Nuclear Smuggler; 4.4.1 Locating Radiation Detectors; 4.4.2 Formulation and Tractability; 4.4.3 Practical Implications and Insights; 4.5 Discussion and Conclusions; References; Chapter 5: Time Discrepant Shipments in Manifest Data; 5.1 Introduction; 5.2 Similarity Coupling of Shipments via Contents Vectors; 5.2.1 Associating a Content Vector to Each Active Port Pair; 5.2.2 Daily Manifest Shipment Content Vectors and Hellinger Distance; 5.3 Shipments Traffic and Time Set Systems; 5.3.1 Weighted Time Subsets

5.3.2 Manifest Data as a Time Varying Graph

Using Operations Research Methods for Homeland Security Problems -- Operations Research and Homeland Security: Overview and Case Study of Pandemic Influenza -- Deployed Security Games for Patrol Planning -- Interdiction Models and Applications -- Time Discrepant Shipments in Manifest Data -- Achieving Realistic Levels of Defensive Hedging Based on Non-MOnotonic and Multi-Attribute Terrorist Utility Functions -- Mitigating the Risk of an Anthrax Attack with Medical Countermeasures -- Service Networks for Public Health and Medical Preparedness: Medical Countermeasures Dispensing and Large-scale Disaster Relief Efforts -- Disaster Response Planning in the Private Sector and the Role of Operations Research.

10.1007/978-1-4614-5278-2 [DOI]

ECONIS - Online Catalogue of the ZBW