Scheduling policies for an antiterrorist surveillance system

Naval Research Logistics

Volumn 56, Issue 2, 2009, Pages 113-126

  Lin, Kyle Y ^a   Kress, Moshe ^a   Szechtman, Roberto ^a  

^a NAVAL POSTGRADUATE SCHOOL   (United States)

Author keywords

Counterterrorism; Dynamic scheduling; Homeland security; Multiclass queue; Reneging

Indexed keywords

COUNTERTERRORISM; DYNAMIC SCHEDULING; HOMELAND SECURITY; MULTICLASS QUEUE; RENEGING;

BIOMETRICS; CUSTOMER SATISFACTION; LAW ENFORCEMENT; QUEUEING THEORY; SALES; SECURITY SYSTEMS;

SCHEDULING;

EID: 63449099812     PISSN: 0894069X     EISSN: 15206750     Source Type: Journal    
DOI: 10.1002/nav.20341     Document Type: Article

References (20)

1. D. Bertsimas and G. Mourtzinou, Multiclass queueing systems in heavy traffic: An asymptotic approach based on distributional and conservation laws, Oper Res 45 (1997), 470-487.
2. D.P. Gaver, P.A. Jacobs, G. Samorodnitsky, and K.D. Glaze- brook, Modeling and analysis of uncertain time-critical tasking problems, Naval Res Logist 53 (2006), 588-599.
3. J.C. Gittins, Multi-armed bandit allocation indices, Wiley, Hoboken, NJ, 1989.
4. K.D. Glazebrook, P.S. Ansell, R.T. Dunn, and R.R. Lumley, On the optimal allocation of service to impatient tasks, J Appl Probabil 41 (2004), 51-72.
5. D. Gross and C.M. Harris, Fundamentals of queueing theory, 2nd ed., Wiley, Hoboken, NJ, 1985.
6. J.M. Harrison, Dynamic scheduling of a multiclass queue: Discount optimality, Oper Res 23 (1975), 270-282.
7. J.M. Harrison and A. Zeevi, Dynamic scheduling of a multi- class queue in the Halfin-Whitt heavy traffic regime, Oper Res 52 (2004), 243-257.
8. S.H. Jacobson, L.A. McLay, J.E. Kobza, and J.M. Bowman, Modeling and analyzing multiple station baggage screening security system performance, Naval Res Logist 52 (2005), 30-45.
9. O. Jouini, A. Pot, Y. Dallery, and G. Koole, Real-time scheduling policies for multiclass call centers with impatient customers, Working paper, Ecole Centrale, Paris, 2007.
10. E. Kaplan and M. Kress, Operational effectiveness of suicide bomber detector schemes: A best-case analysis, Proc Natl Acad Sci 102 (2005), 10399-10404.
11. E.H. Kaplan, C.A. Patton, W.P. FitzGerald, and L.M. Wein, Detecting bioterror attacks by screening blood donors: A best-case analysis, Emerg Infect Dis 9 (2003), 909-914.
12. M. Kress, The effect of crowd density on the expected number of casualties in a suicide attack, Naval Res Logist 52 (2005), 22-29.
13. A.M. Law and W.D. Kelton, Simulation modeling and analysis, 3rd ed., McGraw-Hill, New York City, NY, 2000.
14. L.A. McLay, S.H. Jacobson, and J.E. Kobza, A multilevel passenger screening problem for aviation security, Naval Res Logist 53 (2006), 183-197.
15. B.L. Miller, A queueing reward system with several customer classes, Management Sci 16 (1969), 234-245.
16. T.L. Olsen, A practical scheduling method for multiclass production systems with setups, Management Sci 45 (1999), 116-130.
17. E. Plambeck, S. Kumar, and J.M. Harrison, A multiclass queue in heavy traffic with throughput time constraints: Asymptotically optimal dynamic controls, Queueing Syst 39 (2001), 23-54.
18. M.I. Reiman and L.M. Wein, Dynamic scheduling of a two-class queue with setups, Oper Res 46 (1998), 532-547.
19. S.M. Ross, Stochastic processes, 2nd ed., Wiley, Hoboken, NJ, 1996.
20. L.M. Wein and Y. Liu, Analyzing a bioterror attack on the food supply: The case of botulinum toxin in milk, Proc Natl Acad Sci 102 (2005), 9984-9989.