Abstract
The Cargo Mix Problem (CMP) chooses and distributes types of containers to load into bay subsections of a container vessel. In this paper, we extend existing Mixed Integer Programming models for the CMP by considering containers with dangerous goods. We show that our model can be optimally solved in reasonable time using standard software.
Highlights
IntroductionStill remains, the backbone of global trade. The introduction of containers in the maritime transportation have played an important role in modernization of the industry
Maritime transportation has been, and still remains, the backbone of global trade
Differing from stowage planning, where a list of pre-selected containers must be stowed on the vessel, the Cargo Mix Problem aims at selecting the number of containers of each type that should be loaded on a vessel to maximize its intake
Summary
Still remains, the backbone of global trade. The introduction of containers in the maritime transportation have played an important role in modernization of the industry. The majority of containers is transported by container ships, which are designed to carry containers These ships are owned by different shipping companies. The nominal intake capacity cannot be reached, unless the stability of the container vessel is perfect. This is a daily problem for a stowage coordinator. Differing from stowage planning, where a list of pre-selected containers must be stowed on the vessel, the Cargo Mix Problem aims at selecting the number of containers of each type that should be loaded on a vessel to maximize its intake. The remainder of the paper is organized as follows: in Section 2 we provide a description of the Cargo Mix Problem.
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