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Optimal cargo container loading plans under stochastic demands for air express carriers

Author

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  • Yan, Shangyao
  • Shih, Yu-Lin
  • Shiao, Fei-Yen

Abstract

In this research, we develop a stochastic-demand cargo container loading plan model with the objective of minimizing the total operating cost, subject to the related operating constraints. The model is formulated as a nonlinear mixed integer program that is characterized as NP-hard. We employ a problem linearization technique, coupled with a mathematical programming solver, to develop a solution method. To preliminarily evaluate the model and the solution method, we perform a case study using data from an international air express carrier. The results show that the model and the solution method could be useful for air express carriers.

Suggested Citation

  • Yan, Shangyao & Shih, Yu-Lin & Shiao, Fei-Yen, 2008. "Optimal cargo container loading plans under stochastic demands for air express carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 555-575, May.
    • Handle: RePEc:eee:transe:v:44:y:2008:i:3:p:555-575
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    Citations

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    Cited by:

    1. Bierwirth, Benjamin & Schocke, Kai-Oliver, 2017. "Lead-time optimization potential of digitization in air cargo," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 75-98, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Y Wu, 2011. "Modelling of containerized air cargo forwarding problems under uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1211-1226, July.
    3. 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.
    4. Ching-Cheng Chao & Taih-Cherng Lirn & Kuo-Chung Shang, 2013. "Market segmentation of airline cargo transport," The Service Industries Journal, Taylor & Francis Journals, vol. 33(15-16), pages 1672-1685, December.
    5. 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.
    6. 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.
    7. Lu, Hua-An & Chen, Chien-Yi, 2011. "A time–space network model for unit load device stock planning in international airline services," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 94-100.
    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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