Robust optimization of liner shipping alliance fleet scheduling with consideration of sulfur emission restrictions and slot exchange

Jihong Chen (), Jun Ye (), Anti Liu (), Yijie Fei (), Zheng Wan () and Xiutao Huang ()
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Jihong Chen: Shenzhen University
Jun Ye: Shenzhen University
Anti Liu: Shenzhen University
Yijie Fei: Shenzhen University
Zheng Wan: University of California Davis
Xiutao Huang: Shenzhen University

Annals of Operations Research, 2024, vol. 343, issue 3, No 5, 1013-1043

Abstract: Abstract The International Maritime Organization (IMO) has imposed restrictions on the sulfur content of global marine fuels since 2020, putting the international container shipping and logistics industry under new challenges such as alliance-based operations and emission control for green development and adding to the stress on fleet scheduling of container liner companies. Against this background, this paper studies the fleet scheduling problem of container liner alliance members in the slot exchange mode, with sulfur emission restrictions taken into consideration. It builds an ellipsoidal uncertainty set to describe market demand uncertainties, and includes the changes in fuel surcharges and low-sulfur fuel costs into the robust optimization study of liner fleet scheduling. The minimax regret approach is used to solve the problem and an optimal robust optimization decision-making scheme is obtained, so that liner shipping enterprises can well share risks and allocate profits in uncertainties. The model established in this paper makes predictive analysis of the operations of liner shipping enterprises under the sulfur restriction policy, and provides an effective tool for fleet scheduling decision-making, which offers helpful reference to the survival and development of liner shipping enterprises in the new situation.

Keywords: Slot exchange; Sulfur restrictions; Robust optimization; Liner alliance (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10479-022-04590-x

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