Persistent and ever-changing threat of terrorism has led to the evolution of security systems in the air transportation industry. Passenger and checked-baggage screening prior to boarding an aircraft has become a priority for the airport security system. We propose a two-stage screening system by integrating the passenger prescreening and a multi-level checked-baggage screening. Based on the concept of the weighted k-out-of-n system, we introduce an integrated weighted alarm security screening system for a multi-level baggage screening system, where the system alarms when the total weight of its working levels is greater than a predefined system alarm threshold. To improve the security and efficiency of aviation systems, two optimization models are formulated to enhance the detection of possible threats in the passenger and baggage screening with consideration of the system life cycle cost. The optimal solutions of the threshold values are obtained for screening technologies and passenger classes to achieve the maximum security and efficiency. Numerical analysis is implemented to demonstrate the effectiveness of the proposed two-stage screening system.
National Commission on Terrorist Attacks Upon the United States. The aviation security system and the 9/11 attacks, staff statement no. 3, 9-11commission.gov (2004, accessed 18 April 2019).
3.
McLayLAJacobsonSHKobzaJE. A multilevel passenger screening problem for aviation security. Nav Res Logist2006; 53(3): 183–197.
ButlerVPooleRWJr.Rethinking checked-baggage screening. Los Angeles: Reason Foundation, Reason Public Policy Institute, 2002.
8.
JacobsonSHKarnaniTKobzaJE, et al. A cost-benefit analysis of alternative device configurations for aviation-checked baggage security screening. Risk Analysis2006; 26(2): 297–310.
9.
FengQ. On determining specifications and selections of alternative technologies for airport checked-baggage security screening. Risk Anal2007; 27(5): 1299–1310.
10.
BlejcharovaNCheuRLBinaL. Framework for selecting screening technologies for checked baggage inspection systems at airports. J Transp Secur2012; 5(3): 239–252.
11.
McLayLAJacobsonSHKobzaJE. The tradeoff between technology and prescreening intelligence in checked baggage screening for aviation security. J Transp Secur2008; 1(2): 107–126.
12.
KobzaJEJacobsonSH. Probability models for access security system architectures. J Oper Res Soc1997; 48(3): 255–263.
13.
NieX. Risk-based grouping for checked baggage screening systems. Reliab Eng Syst Saf2011; 96(11): 1499–1506.
14.
BolandPJProschanF. The reliability of K out of N systems. Ann Probab1983; 11(3): 760–764.
15.
WuJ-SChenR-J. An algorithm for computing the reliability of weighted-k-out-of-n systems. IEEE Trans Reliab1994; 43(2): 327–328.
16.
JainSPGopalK. Recursive algorithm for reliability evaluation of k-out-of-n:G system. IEEE Trans Reliab1985; R-34(2): 144–150.
17.
LiXYouYFangR. On weighted k-out-of-n systems with statistically dependent component lifetimes. Probab Eng Inf Sci2016; 30(4): 533–546.
18.
EryilmazS. On reliability analysis of a k-out-of-n system with components having random weights. Reliab Eng Syst Saf2013; 109: 41–44.
19.
RahmaniR-AIzadiMKhalediB-E. Importance of components in k-out-of-n system with components having random weights. J Comput Appl Math2016; 296: 1–9.
20.
EryilmazSSarikayaK. Modeling and analysis of weighted-k-out-of-n:G system consisting of two different types of components. Proc IMechE, Part O: J Risk and Reliability2014; 228(3): 265–271.
21.
FrankoCTutuncuGY. Signature based reliability analysis of repairable weighted k-out-of-n:G systems. IEEE Trans Reliab2016; 65(2): 843–850.
22.
SongCZhuangJ. Two-stage security screening strategies in the face of strategic applicants, congestions and screening errors. Ann Oper Res2017; 258(2): 237–262.
23.
McLayLAJacobsonSHNikolaevAG. A sequential stochastic passenger screening problem for aviation security. IIE Trans2009; 41(6): 575–591.
24.
Lazar BabuVLBattaRLinL. Passenger grouping under constant threat probability in an airport security system. Eur J Oper Res2006; 168(2): 633–644.
JacobsonSHMcLayLAKobzaJE, et al. Modeling and analyzing multiple station baggage screening security system performance. Nav Res Logist2005; 52(1): 30–45.
31.
NikolaevAGJacobsonSHMcLayLA. A sequential stochastic security system design problem for aviation security. Transp Sci2007; 41(2): 182–194.
32.
SimmsAE. A stochastic approach to modeling aviation security problems using the KNAPSACK problem. Blacksburg: Virgina Tech, 1997.
33.
MartzHFWallerRA. Bayesian relaibility analysis. 1st ed. New York: Wiley, 1982.
34.
BarnettAShumskyRHansenM, et al. Safe at home? An experiment in domestic airline security. Oper Res2001; 49(2): 181–195.
35.
SahinHFengQ. Sequential passenger and baggage screening strategies for enhancing aviation security. In: Proceedings of Industrial Engineering Research Conference, Vancouver, BC, Canada, 17–21 May 2008.
36.
JacobsonSHKobzaJEEasterlingAS. A detection theoretic approach to modeling aviation security problems using the knapsack problem. IIE Trans2001; 33(9): 747–759.
37.
FengQSahinHKapurKC. Designing airport checked-baggage-screening strategies considering system capability and reliability. Reliab Eng Syst Saf2009; 94(2): 618–627.
