Book contents
- Improving Homeland Security Decisions
- Improving Homeland Security Decisions
- Copyright page
- Contents
- Contributors
- 1 Improving Homeland Security Decisions
- 2 Probabilistic Risk Analysis and Terrorism Risk
- 3 Integrating Stakeholder Values into Strategic Planning through Comparative Risk Analysis
- 4 Validating Terrorism Risk Assessment Models – Lessons Learned from 11 Models
- 5 Coping with Uncertainty in Adversarial Risk Analysis
- 6 A Risk and Economic Analysis of Dirty Bomb Attacks on the Ports of Los Angeles and Long Beach
- 7 Regional Transportation and Supply Chain Modeling for Large-Scale Emergencies
- 8 Economic Consequences of Terrorism and Natural Disasters: The Computable General Equilibrium Approach
- 9 Economic Resilience to Terrorism and Natural Hazards
- 10 The Temporal Regional Economic Impacts of a Hurricane Disaster on Oil Refinery Operations: A FlexNIEMO Approach
- 11 Risk-Informed Benefit-Cost Analysis
- 12 Enhancing Post-disaster Economic Resilience: Public-Private Partnership for Insuring Terrorism
- 13 Economic Impacts of Changes in Wait Times at U.S. Ports of Entry
- 14 Organizational Decision Processes
- 15 A Value Model for Evaluating Homeland Security Decisions
- 16 Identifying, Structuring, and Comparing the Objectives of Al Qaeda and ISIL
- 17 Multi-objective Decision Making: Expected Utility vs. Some Widely Used (and Flawed) Methods
- 18 Achieving Multiple Objectives with Limited Resources: Using Utility Theory and Control Theory
- 19 Defender-Attacker Decision Tree Analysis to Combat Terrorism
- 20 Decision Making for Bioterror Preparedness: Examples from Smallpox Vaccination Policy
- 21 Stackelberg Security Games (SSG) Basics and Application Overview
- 22 Basic Solution Concepts and Algorithms for Stackelberg Security Games
- 23 Mixed-Integer Optimization Methods for Solving Stackelberg Security Games
- 24 Methods for Addressing the Unpredictable Real-World Element in Security
- 25 Learning to Play Stackelberg Security Games
- 26 Evaluating Deployed Decision Support Systems for Security: Challenges, Analysis, and Approaches
- 27 Homeland Security Resource Allocation Games: Considering Partially Strategic Attackers and Equity
- 28 Decision Analysis by Proxy for Adaptive Adversaries
- 29 Asymmetric Prescriptive/Descriptive Game Theory for Counterterrorism
- 30 Near-Misses and Decision Making Under Uncertainty in the Context of Cybersecurity
- Index
- References
7 - Regional Transportation and Supply Chain Modeling for Large-Scale Emergencies
Published online by Cambridge University Press: 13 December 2017
Book contents
- Improving Homeland Security Decisions
- Improving Homeland Security Decisions
- Copyright page
- Contents
- Contributors
- 1 Improving Homeland Security Decisions
- 2 Probabilistic Risk Analysis and Terrorism Risk
- 3 Integrating Stakeholder Values into Strategic Planning through Comparative Risk Analysis
- 4 Validating Terrorism Risk Assessment Models – Lessons Learned from 11 Models
- 5 Coping with Uncertainty in Adversarial Risk Analysis
- 6 A Risk and Economic Analysis of Dirty Bomb Attacks on the Ports of Los Angeles and Long Beach
- 7 Regional Transportation and Supply Chain Modeling for Large-Scale Emergencies
- 8 Economic Consequences of Terrorism and Natural Disasters: The Computable General Equilibrium Approach
- 9 Economic Resilience to Terrorism and Natural Hazards
- 10 The Temporal Regional Economic Impacts of a Hurricane Disaster on Oil Refinery Operations: A FlexNIEMO Approach
- 11 Risk-Informed Benefit-Cost Analysis
- 12 Enhancing Post-disaster Economic Resilience: Public-Private Partnership for Insuring Terrorism
- 13 Economic Impacts of Changes in Wait Times at U.S. Ports of Entry
- 14 Organizational Decision Processes
- 15 A Value Model for Evaluating Homeland Security Decisions
- 16 Identifying, Structuring, and Comparing the Objectives of Al Qaeda and ISIL
- 17 Multi-objective Decision Making: Expected Utility vs. Some Widely Used (and Flawed) Methods
- 18 Achieving Multiple Objectives with Limited Resources: Using Utility Theory and Control Theory
- 19 Defender-Attacker Decision Tree Analysis to Combat Terrorism
- 20 Decision Making for Bioterror Preparedness: Examples from Smallpox Vaccination Policy
- 21 Stackelberg Security Games (SSG) Basics and Application Overview
- 22 Basic Solution Concepts and Algorithms for Stackelberg Security Games
- 23 Mixed-Integer Optimization Methods for Solving Stackelberg Security Games
- 24 Methods for Addressing the Unpredictable Real-World Element in Security
- 25 Learning to Play Stackelberg Security Games
- 26 Evaluating Deployed Decision Support Systems for Security: Challenges, Analysis, and Approaches
- 27 Homeland Security Resource Allocation Games: Considering Partially Strategic Attackers and Equity
- 28 Decision Analysis by Proxy for Adaptive Adversaries
- 29 Asymmetric Prescriptive/Descriptive Game Theory for Counterterrorism
- 30 Near-Misses and Decision Making Under Uncertainty in the Context of Cybersecurity
- Index
- References
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- Improving Homeland Security Decisions , pp. 134 - 157Publisher: Cambridge University PressPrint publication year: 2017
References
Chen, B., & Lin, C. S. (1998). Minmax-regret robust 1-median location on a tree. Networks, 31, 93–103.Google Scholar
Church, R., & ReVelle, C. (1974). The maximal covering location problem. Papers of the Regional Science Association, 32, 101–118.CrossRefGoogle Scholar
Dessouky, M. M., Ordóñez, F., Jia, H. Z., & Shen, Z. H. (2006). Rapid distribution of medical supplies. In R. Hall (Ed.), Delay management in health care systems. Springer.Google Scholar
Galvão, R. D., & ReVelle, C. (1996). A lagrangean heuristic for the maximal covering location problem. European Journal of Operational Research, 88, 114–123.Google Scholar
Hogan, K., & ReVelle, C. (1986). Concepts and applications of backup coverage. Management Science, 32, 1434–1444.CrossRefGoogle Scholar
Huang, R., Kim, S., & Menezes, M. (2010). Facility location for large-scale emergencies. Annals of Operations Research, 181, 271–286.Google Scholar
Jia, H. Z., Ordóñez, F., & Dessouky, M. M. (2007a). A modeling framework for facility location of medical services for large-scale emergencies. IIE Transactions, 39, 41–55.CrossRefGoogle Scholar
Jia, H. Z., Ordóñez, F., & Dessouky, M. M. & Dessouky, M. M. (2007b). Solution approaches for facility location of medical supplies for large-scale emergencies. Computers and Industrial Engineering, 52, 257–276.Google Scholar
Larson, R. C. (2005). Book Chapter, Decision models for emergency response planning, The McGraw-Hill handbook of homeland security. The McGraw-Hill Companies.Google Scholar
Larson, R. C., Metzger, M., & Cahn, M. (2006). Responding to emergencies: Lessons learned and the need for analysis. Interfaces, 36, 486–501.Google Scholar
Marianov, V., & ReVelle, C. (1996). The queueing maximal availability location problem: A model for the siting of emergency vehicles. European Journal of Operational Research, 93, 110–120.CrossRefGoogle Scholar
Megiddo, N., Zemel, E., & Hakimi, S. L. (1983). The maximum coverage location problem. SIAM Journal of Algebraic and Discrete Methods, 4, 253–261.Google Scholar
Oran, A., Chuan Tan, K., Hooi Ooi, B., Sim, M., & Jaillet, P. (2012). Location and routing models for emergency response plans with priorities. Future Security, Communications in Computer and Information Science, 318, 129–140.CrossRefGoogle Scholar
Ozguven, E., & Ozbay, K. (2014). Emergency inventory management for disasters – a review. Journal of Emergency Management, 12, 269–286.Google Scholar
Paluzzi, M. (2004). Testing a heuristic P-median location allocation model for siting emergency service facilities. Paper presented at the Annual Meeting of Association of American Geographers, Philadelphia, PA.Google Scholar
Schilling, D., Elzinga, D., Cohon, J., Church, R., & ReVelle, C. (1979). The TEAM/FLEET models for simultaneous facility and equipment siting. Transportation Science, 13, 163–175.Google Scholar
Shen, Z., Dessouky, M. M., & Ordóñez, F. (2009b). A two-stage vehicle routing problem for large-scale bioterrorism emergencies. Networks, 54, 255–269.CrossRefGoogle Scholar
Shen, Z., Dessouky, M. M., & Ordóñez, F. (2011). Perishable inventory management system with a minimum volume constraint. Journal of the Operational Research Society, 62, 2063–2082.Google Scholar
Shen, Z., Ordóñez, F., & Dessouky, M. M. (2009a). The Stochastic Vehicle Routing Problem for Minimum Unmet Demand. Optimization and Logistics Challenges in the Enterprise, Springer Series on Optimization and Its Applications.Google Scholar
Snyder, L. V. (2006). Facility location under uncertainty: A review. IIE Transactions, 38, 537–554.CrossRefGoogle Scholar
Snyder, L. V., & Daskin, M. S. (2006). Stochastic p-robust location problems. IIE Transactions, 38, 971–985.CrossRefGoogle Scholar
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