Speed optimization and bunkering in liner shipping in the presence of uncertain service times and time windows at ports
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Publication:1751781
DOI10.1016/j.ejor.2016.10.002zbMath1394.90076OpenAlexW2528754946MaRDI QIDQ1751781
Publication date: 25 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2016.10.002
Applications of mathematical programming (90C90) Transportation, logistics and supply chain management (90B06) Deterministic scheduling theory in operations research (90B35) Case-oriented studies in operations research (90B90) Dynamic programming (90C39)
Related Items (9)
A decision support system for vessel speed decision in maritime logistics using weather archive big data ⋮ Tug scheduling for hinterland barge transport: a branch-and-price approach ⋮ Bunkering and information decisions in the sea cargo service industry based on uncertain spot price ⋮ Coordinating vessel recovery actions: analysis of disruption management in a liner shipping service ⋮ Uncertainty in maritime ship routing and scheduling: a literature review ⋮ Integrated planning of ship deployment, service schedule and container routing ⋮ Vessel velocity decisions in inland waterway transportation under uncertainty ⋮ Bunker fuel cost and freight revenue optimization for a single liner shipping service ⋮ Bunkering policies for a fuel bunker management problem for liner shipping networks
Cites Work
- Bunkering decisions for a shipping liner in an uncertain environment with service contract
- Liner shipping network design with deadlines
- The theory and practice of revenue management
- The vessel schedule recovery problem (VSRP) -- a MIP model for handling disruptions in liner shipping
- Ship routing and scheduling in the new millennium
- Dynamic determination of vessel speed and selection of bunkering ports for liner shipping under stochastic environment
- Analysis of an exact algorithm for the vessel speed optimization problem
- Reducing fuel emissions by optimizing speed on shipping routes
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