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On load balancing strategies for baggage screening at airports
Institution:1. School of Engineering, RMIT University, Melbourne, Australia;2. Boeing Research & Technology – Australia, Brisbane, Australia;1. Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122 Palma de Mallorca, Spain;2. Transport and ICT Directorate, Ingeniería de Sistemas para la Defensa de España, S.A., Beatriz de Bobadilla 3, 28040 Madrid, Spain;1. Surrey International Institute, Dongbei University of Finance and Economics, Li Jin Building, No. 217 Jian Shan Street, Sha He Kou District, Dalian, 116025, China;2. Department of Tourism, Sport and Hotel Management, Griffith University, Gold Coast Campus, QLD 4222, Australia;1. Department of Accounting, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taiwan, ROC;2. Department of Business Management, National Taipei University of Technology, Taiwan, ROC;3. Faculty of Industrial Management, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26600 Gambang, Kuantan Pahang, Malaysia;4. Institute of Management Technology, Dubai International Academic City, P.O Box 345006, Dubai, United Arab Emirates;5. Department of Financial Management, National Defense University, No. 70, Sec. 2, Zhongyang North Rd., Beitou, Taipei 112, Taiwan, ROC;1. Carnival Cruise Line, Revenue Management Science, 3655 NW 87th Ave, Miami, FL 33178, United States;2. University of Wyoming, 1000 E. University Ave, Dept. 3275, Laramie, WY 82071, United States
Abstract:We study load balancing policies for an airport baggage handling system (BHS). The performance of the screening subsystem is important as it can potentially cause traffic congestion of the whole BHS during peak period. Currently, the round-robin (RR) and the first-available (FA) polices are implemented at airports. This paper presents a simulative approach to evaluate the impact of load balancing policies on the system performance. Using discrete-event simulations, airport practitioners can assess the effectiveness of the policies according to the actual layout of a particular passenger terminal. In addition to the RR and FA, a join-shortest-queue (JSQ) policy is introduced. This scheme can be applied jointly with the RR for daily operations. A case study is presented to illustrate the characteristics of this scheme. Simulation results demonstrate that the RR-JSQ can replace the existing RR-FA for a better balanced load distribution and improve the overall system performance.
Keywords:Aviation baggage screening  Load balancing  Task assignment  Performance evaluation  Discrete-event simulation
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