Robust container slot allocation with uncertain demand for liner shipping services

2021 ◽  
Author(s):  
Hui Zhao ◽  
Qiang Meng ◽  
Yadong Wang
Keyword(s):  
Liner Shipping ◽  
Uncertain Demand ◽  
Slot Allocation

scholarly journals Data-Driven Robust Model for Container Slot Allocation with Uncertain Demand

2021 ◽  
Vol 20 (4) ◽  
pp. 707-718
Author(s):  
X. Y. Ma ◽  
Y. Lin ◽  
Q. W. Ma
Keyword(s):  
Data Driven ◽  
Uncertain Demand ◽  
Slot Allocation ◽  
Robust Model

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

2008 ◽  
Vol 10 (3) ◽  
pp. 295-309 ◽  
Author(s):  
Cheng-Min Feng ◽  
Chia-Hui Chang
Keyword(s):  
Liner Shipping ◽  
Slot Allocation

Bi-criteria approach to containership slot allocation in liner shipping

2015 ◽  
Vol 18 (2) ◽  
pp. 141-157 ◽  
Author(s):  
Shih-Chan Ting ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Liner Shipping ◽  
Slot Allocation

An optimal containership slot allocation for liner shipping revenue management

2004 ◽  
Vol 31 (3) ◽  
pp. 199-211 ◽  
Author(s):  
Shin-Chan Ting * ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Revenue Management ◽  
Liner Shipping ◽  
Slot Allocation

scholarly journals Erratum: A revenue management slot allocation model for liner shipping networks

2013 ◽  
Vol 15 (4) ◽  
pp. 523-523
Author(s):  
Sebastian Zurheide ◽  
Kathrin Fischer
Keyword(s):  
Revenue Management ◽  
Liner Shipping ◽  
Slot Allocation ◽  
Allocation Model ◽  
Shipping Networks

scholarly journals A revenue management slot allocation model for liner shipping networks

2012 ◽  
Vol 14 (3) ◽  
pp. 334-361 ◽  
Author(s):  
Sebastian Zurheide ◽  
Kathrin Fischer
Keyword(s):  
Revenue Management ◽  
Liner Shipping ◽  
Slot Allocation ◽  
Allocation Model ◽  
Shipping Networks

scholarly journals Integrated Optimization of Port Rotation Direction and Fleet Deployment for Container Liner Shipping Routes

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jingxu Chen ◽  
Yiran Wang ◽  
Xinlian Yu ◽  
Zhiyuan Liu
Keyword(s):  
Demand Uncertainty ◽  
Liner Shipping ◽  
Uncertain Demand ◽  
Multicommodity Flow ◽  
Rotation Direction ◽  
Container Liner Shipping ◽  
Planning Methodology ◽  
Total Network ◽  
Selection Of ◽  
Fleet Deployment

This paper provides an integrated planning methodology for the optimization of port rotation direction and fleet deployment for container liner shipping routes with consideration of demand uncertainty. We first consider a special case that demand is deterministic. A multicommodity flow network model is developed via minimizing the total network-wide cost. Its decisions are the selection of port rotation direction and fleet deployment and container routings in the shipping network. Afterward, we address the generic case that uncertain demand is considered, which is represented by potentially realizable demand scenarios. We develop a minimax regret model to procure the least maximum regret across all the demand scenarios. The proposed models are applied to an Asia-Europe-Oceania liner shipping network with 46 ports and 12 ship routes. Results could provide the liner company with a comprehensive decision tool to simultaneously determine port rotation direction and fleet deployment when tackling uncertain demand.

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