Coordinating vessel recovery actions: analysis of disruption management in a liner shipping service

DOI10.1016/j.ejor.2022.08.039OpenAlexW4294724304MaRDI QIDQ6109807

Mohamad Y. Jaber, Seyed Mohammad Javad Mirzapour Al-e-hashem, Mohammad Asghari

Publication date: 4 July 2023

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2022.08.039

zbMATH Keywords

disruption managementOR in maritime industrygreenhouse gas emissionscrowd-learning particle swarm optimizationvessel schedule recovery

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Unnamed Item
• Optimal operating strategy for a long-haul liner service route
• A quantitative analysis of container vessel arrival planning strategies
• Disruption management in the airline industry-concepts, models and methods
• Minimizing the fuel consumption and the risk in maritime transportation: a bi-objective weather routing approach
• A decision support system for vessel speed decision in maritime logistics using weather archive big data
• Speed optimization and bunkering in liner shipping in the presence of uncertain service times and time windows at ports
• Cargo allocation and vessel scheduling on liner shipping with synchronization of transshipments
• Designing robust liner shipping schedules: optimizing recovery actions and buffer times
• Speed optimizations for liner networks with business constraints
• The vessel schedule recovery problem (VSRP) -- a MIP model for handling disruptions in liner shipping
• Reducing fuel emissions by optimizing speed on shipping routes
• Optimization in liner shipping

This page was built for publication: Coordinating vessel recovery actions: analysis of disruption management in a liner shipping service