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A scenario decomposition-genetic algorithm method for solving stochastic air cargo container loading problems

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  • Tang, Ching-Hui

Abstract

In this study, we develop a solution method for solving air express cargo loading problems under stochastic demands. The method is designed by combining the scenario decomposition and genetic algorithm (GA) techniques. Numerical tests are performed to evaluate the performance of the solution method using data for the Asian operations of an international express carrier. The results show that the solutions obtained from our method are very close to the optimal solutions. Furthermore, our method has an advantage in terms of computation time over the CPLEX optimization algorithm.

Suggested Citation

  • Tang, Ching-Hui, 2011. "A scenario decomposition-genetic algorithm method for solving stochastic air cargo container loading problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(4), pages 520-531, July.
    • Handle: RePEc:eee:transe:v:47:y:2011:i:4:p:520-531
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    Citations

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    Cited by:

    1. Xianbo Xiang & Caoyang Yu & He Xu & Stuart X. Zhu, 2018. "Optimization of Heterogeneous Container Loading Problem with Adaptive Genetic Algorithm," Complexity, Hindawi, vol. 2018, pages 1-12, November.
    2. Kulak, Osman & Genç, Atakan & Taner, Mustafa Egemen, 2018. "A decision making tool considering risk assessment of sub-contracting agents for an air cargo shipment planning problem," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 123-136.
    3. Chao, Ching-Cheng & Li, Ru-Guo, 2017. "Effects of cargo types and load efficiency on airline cargo revenues," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 26-33.
    4. Xiangling Zhao & Yun Dong & Lei Zuo, 2023. "A Combinatorial Optimization Approach for Air Cargo Palletization and Aircraft Loading," Mathematics, MDPI, vol. 11(13), pages 1-16, June.
    5. Luo, Hao & Yang, Xuan & Kong, Xiang T.R., 2019. "A synchronized production-warehouse management solution for reengineering the online-offline integrated order fulfillment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 211-230.
    6. Zhang, Canrong & Xie, Fanrui & Huang, Kun & Wu, Tao & Liang, Zhe, 2017. "MIP models and a hybrid method for the capacitated air-cargo network planning and scheduling problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 158-173.
    7. Quddus, Md Abdul & Shahvari, Omid & Marufuzzaman, Mohammad & Ekşioğlu, Sandra D. & Castillo-Villar, Krystel K., 2021. "Designing a reliable electric vehicle charging station expansion under uncertainty," International Journal of Production Economics, Elsevier, vol. 236(C).
    8. Lurkin, Virginie & Schyns, Michaël, 2015. "The Airline Container Loading Problem with pickup and delivery," European Journal of Operational Research, Elsevier, vol. 244(3), pages 955-965.

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