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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Decision Models for Cargo Container Loading with an Intermediate Hub
Chhavy Chan1, Narameth Nananukul2
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DOI:10.17265/2328-2142/2022.02.003
1. School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12121, Thailand
2. School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12121, Thailand
In this research, optimization models for air freight forwarders that considers renting air containers and assigning cargos to containers are proposed with the objective to minimize total operating cost. The transportation network consists of an intermediate hub which is used for unloading and sorting cargos before the delivery to destinations. The models provide operational decision at both regions and hub. The proposed models are formulated based on the cargo demand information provided by the forwarders’ customers. The models are applicable for air freight forwarders to plan their bookings with airlines with either regular shipment or irregular demand of cargos during peak season. The proposed models take into account constraints related to weight and volume limits of containers and also on constraints related to available containers. The computational results show that the proposed models can be used for practical air cargo planning. A two-phase method is also proposed in order to generate solutions for large instance data sets. The obtained results from the paper also suggest new research directions in this field.
Air cargo loading, air cargo planning with intermediate hub, air cargo decision support system.
[1] U. Derigs, S. Friederichs, S. Schäfer, A New Approach for Air Cargo Network Planning, Transportation Science, 43(3) (2009) 370–380.
[2] Y. Nobert, J. Roy, Freight Handling Personnel Scheduling at Air Cargo Terminals, Transportation Science, 32(3) (1998) 295-301.
[3] B. Slager, L. Kapteijns, Implementation of Cargo Revenue Management at KLM, Journal of Revenue and Pricing Management, 3(1)(2004) 80-90.
[4] K. Huang, W. Chi, A Lagrangian Relaxation Based Heuristic for the Consolidation Problem of Airfreight Forwarders, Transportation Research Part C: Emerging Technologies, 15(4)(2007) 235-245.
[5] Y. Gui, B. Gong, Y. Cheng. An Algorithm for Air Cargo Forwarders Consolidation Problem, in: 2008 Fourth International Conference on Natural Computation, 2008, pp. 372-376.
[6] L. C. Leung, Y. V. Hui, Y. Wang, G. Chen, A 0-1 LP Model for the Integration and Consolidation of Air Cargo Shipments, Operations Research 57(2)(2009) 402-412.
[7] W. H. Wong, L. C. Leung, Y. V. Hui, Airfreight Forwarder Shipment Planning: A Mixed 0–1 Model and Managerial Issues in the Integration and Consolidation of Shipments, European Journal of Operational Research 193(1)(2009) 86-97.
[8] I. F. Vis, R. d. Koster, Transshipment of Containers at a Container Terminal: An Overview, European Journal of Operational Research 147(1)(2003) 1-16.
[9] J. Xue , K. K. Lai, A Study on Cargo Forwarding Decisions, Computers & Industrial Engineering 33(1)(1997) 63-66.
[10] Y. Wu, Modelling Containerisation of Air Cargo Forwarding Problems, Production Planning and Control 19(1)(2008) 2-11.
[11] F. T. Chan, R. Bhagwat, N. Kumar, M. Tiwari, P. Lam, Development of a Decision Support System for Air-Cargo Pallets Loading Problem: A Case Study, Expert Systems with Applications 31(3)(2006) 472-485.
[12] Y. Li, Y. Tao, F. Wang, A Compromised Large-Scale Neighborhood Search Heuristic for Capacitated Air Cargo Loading Planning, European Journal of Operational Research 199(2)(2009) 553-560.
[13] Z. Li, J. H. Bookbinder, S. Elhedhli, Optimal Shipment Decisions for an Airfreight Forwarder: Formulation and Solution Methods, Transportation Research Part C: Emerging Technologies, 21(1)(2012) 17-30.
[14] S. Fong, M. G. D. C. Junior, R. Khoury, Air Cargo Scheduling Using Genetic Algorithms, in: International Symposium on Computational and Business Intelligence (ISCBI), 2013, pp. 170-173.
[15] M. Mongeau, C. Bes, Optimization of Aircraft Container Loading, IEEE Transactions on Aerospace and Electronic Systems 39(1)(2003) 140-150.
[16] W. Vancroonenburg, J. Verstichel, K. Tavernier, G. V. Berghe, Automatic Air Cargo Selection and Weight Balancing: A Mixed Integer Programming Approach, Transportation Research Part E: Logistics and Transportation Review 65(2014) 70-83.
[17] S. Yan, Y.-L. Shih, F.-Y. Shiao, Optimal Cargo Container Loading Plans under Stochastic Demands for Air Express Carriers, Transportation Research Part E: Logistics and Transportation Review 44(3)(2008) 555-575.
[18] C.-H. Tang, A Scenario Decomposition-Genetic Algorithm Method for Solving Stochastic Air Cargo Container Loading Problems, Transportation Research Part E: Logistics and Transportation Review 47(4)(2011) 520-531.
[19] Y. Wu, A Dual-Response Forwarding Approach for Containerizing Air Cargoes under Uncertainty, Based on Stochastic Mixed 0-1 Programming, European Journal of Operational Research 207(1)(2010) 152-164.
[20] Y. Wu, Modelling of Containerized Air Cargo Forwarding Problems under Uncertainty, Journal of the Operational Research Society 62(7)(2011) 1211-1226.
[21] L. Zhu, Y. Wu and H. Smith. A Stochastic Model for the International Air Cargo Forwarding Problem via a Hub under Uncertainty, in: International Conference on Logistics, Informatics and Service Sciences (LISS), 2015, pp. 1-6.
[22] B. Feng, Y. Li and Z.-J. M. Shen, Air Cargo Operations: Literature Review and Comparison with Practices, Transportation Research Part C: Emerging Technologies, 56(2015) 263-280.