Principles of Combinatorial Optimization Applied to Container-Ship Stowage Planning
Journal of Heuristics
Stowage Container Planning: A Model for Getting an Optimal Solution
Proceedings of the IFIP TC5/WG5.6 Seventh International Conference on Computer Applications in the Automation of Shipyard Operation and Ship Design, VII
An Integer Linear Programming for Container Stowage Problem
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Generating optimal stowage plans for container vessel bays
CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
An experimental comparison of different heuristics for the master bay plan problem
SEA'10 Proceedings of the 9th international conference on Experimental Algorithms
An accurate model for seaworthy container vessel stowage planning with ballast tanks
ICCL'12 Proceedings of the Third international conference on Computational Logistics
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Eco-efficient stowage plans that are both competitive and sustainable have become a priority for the shipping industry. Stowage planning is NP-hard and is a challenging optimization problem in practice. We propose a new 2-phase approach that generates near-optimal stowage plans and fulfills industrial time and quality requirements. Our approach combines an integer programming model for assigning groups of containers to storage areas of the vessel over multiple ports, and a constraint programming and local search procedure for stowing individual containers.