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Optimal Slot Allocation in Intra-Asia Service for Liner Shipping Companies

Author

Listed:
  • Cheng-Min Feng

    (Institute of Traffic and Transportation, National Chiao Tung University, 4F, No. 114, Sec. 1, Chung-Hsiao W. Road, Taipei 100, Taiwan, R.O.C)

  • Chia-Hui Chang

    (Institute of Traffic and Transportation, National Chiao Tung University, 4F, No. 114, Sec. 1, Chung-Hsiao W. Road, Taipei 100, Taiwan, R.O.C)

Abstract

Liner shipping companies strive for fully loading cargo on vessels and often neglect revenue management opportunities. Shipping agents in different ports typically compete for additional slots on containerships to improve their own revenue. In booming markets, arguments over slot allocation between shipping agencies occur frequently. Intra-Asian service routes are designed to call at many ports to provide frequent sailings, reduced shipping time and direct delivery. Slot allocation in intra-Asia liner shipping is more complex than that for long-haul liner shipping. This study uses revenue management modelling as a decision-support tool to enhance profit and management performance of liner shipping agencies. The model is explained using a case study of Taiwan liner shipping company. Experimental results show the proposed model to have better applicability and performance than conventional slot allocation models. Maritime Economics & Logistics (2008) 10, 295–309. doi:10.1057/mel.2008.6

Suggested Citation

  • Cheng-Min Feng & Chia-Hui Chang, 2008. "Optimal Slot Allocation in Intra-Asia Service for Liner Shipping Companies," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(3), pages 295-309, September.
    • Handle: RePEc:pal:marecl:v:10:y:2008:i:3:p:295-309
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    Cited by:

    1. Christensen, Jonas & Erera, Alan & Pacino, Dario, 2019. "A rolling horizon heuristic for the stochastic cargo mix problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 200-220.
    2. Christensen, Jonas & Pacino, Dario, 2017. "A matheuristic for the Cargo Mix Problem with Block Stowage," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 151-171.
    3. Wang, Tingsong & Meng, Qiang & Wang, Shuaian & Qu, Xiaobo, 2021. "A two-stage stochastic nonlinear integer-programming model for slot allocation of a liner container shipping service," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 143-160.
    4. Hua-An Lu & Wen-Hung Mu, 2016. "A slot reallocation model for containership schedule adjustment," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 136-157, January.

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