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Formulating cargo inventory costs for liner shipping network design

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  • Shuaian Wang

Abstract

This study examines how to incorporate the inventory costs of containerized cargoes into existing liner service planning models such that the designed networks could be improved while not causing extra modeling/computational burden. Two approaches are compared: (i) not considering the inventory costs at all and (ii) incorporating the inventory costs associated with onboard time and those related to transshipment by assuming a fixed connection time. The two models are compared with the ideal model capturing the exact inventory costs on a route choice problem and a capacity planning problem based on extensive randomly generated and practical numerical experiments. The results show that: first, ignoring the inventory costs in service planning models may lead to network design with much higher costs (poor network design decisions); second, in service planning models assuming weekly frequency, the inventory costs associated with onboard time could be formulated exactly, and those related to the connection time of weekly services could be approximated by assuming fixed connection time of 3.5 days for ports with 1 day’s minimum connection time and 4.5 days for ports with 2 days’ minimum connection time.

Suggested Citation

  • Shuaian Wang, 2017. "Formulating cargo inventory costs for liner shipping network design," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(1), pages 62-80, January.
  • Handle: RePEc:taf:marpmg:v:44:y:2017:i:1:p:62-80
    DOI: 10.1080/03088839.2016.1245879
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    Cited by:

    1. Zhao, Yiran & Yang, Zhongzhen & Haralambides, Hercules, 2019. "Optimizing the transport of export containers along China's coronary artery: The Yangtze River," Journal of Transport Geography, Elsevier, vol. 77(C), pages 11-25.
    2. Zeng, Qingcheng & Wang, Grace W.Y. & Qu, Chenrui & Li, Kevin X., 2018. "Impact of the Carat Canal on the evolution of hub ports under China’s Belt and Road initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 96-107.
    3. Chen, Jingxu & Jia, Shuai & Wang, Shuaian & Liu, Zhiyuan, 2018. "Subloop-based reversal of port rotation directions for container liner shipping network alteration," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 336-361.

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