Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-49550-5_14
Title: The workload balancing problem at air cargo terminals
Authors: Huang, H.C. 
Lee, C.
Xu, Z.
Keywords: Air cargo terminal
Benders decomposition
Simulation
Stochastic mixed integer linear program
Workload balancing
Issue Date: 2007
Source: Huang, H.C.,Lee, C.,Xu, Z. (2007). The workload balancing problem at air cargo terminals. Container Terminals and Cargo Systems: Design, Operations Management, and Logistics Control Issues : 291-313. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-49550-5_14
Abstract: We consider a large air cargo handling facility composed of two identical cargo terminals. In order to improve the operational efficiency, the workload must be balanced between the terminals. Thus, we must assign each airline served by the facility to one of the terminals such that (ideally): (1) each terminal has the same total workload, and (2) the workload at each terminal is distributed evenly along the timeline. Complicating the problem is that cargo loads are difficult to predict (stochastic). We develop a stochastic mixed integer linear program model in which a weighted sum of the balance measures is minimized. We employ sample average approximation for the stochastic program and develop an accelerated Benders decomposition algorithm to reduce the computational time. The proposed model can also be applied to partially reassign the airlines for the operational schedule changes. The computational results show that a small number of reassignments are often sufficient to rebalance the workload. The simulation results based on data from a large international airport show that the proposed algorithms efficiently balance the workload and the cargo service time is consistently reduced. © 2007 Springer-Verlag Berlin Heidelberg.
Source Title: Container Terminals and Cargo Systems: Design, Operations Management, and Logistics Control Issues
URI: http://scholarbank.nus.edu.sg/handle/10635/68064
ISBN: 9783540495499
DOI: 10.1007/978-3-540-49550-5_14
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