Abstract
All shipping liner companies divide their service regions into several rotations (strings) in order to operate their container vessels. A string is the ordered set of ports at which a container vessel will call. Each port is usually called at no more than twice along one string, although a single port may be called at several times on different strings. The size of string dictates the number of vessels required to offer a given frequency of service. In order to better use their shipping capacity, groups of Liner Service Providers sometimes make a short term agreement to merge some of their service routes (in a certain region) into one main ocean going rotation and p feeder rotations. In order to minimize the weighted sum of transit time, and fixed deployment costs, this paper proposes a mixed integer linear programming model of the network design, and an allocation of proper capacity size and frequency setting for every rotation. Given that none of the existing general-purpose MIP solvers is able to solve even very small problem instances in a reasonable time, we propose a Lagrangian decomposition approach which uses a heuristic procedure and is capable of obtaining practical and high quality solutions in reasonable times. The model will be applied on a real example, and we shall present some of the results obtained by our model which show how it facilitates a better use of assets and a significant reduction in the use of fuel, therefore allowing a more environmentally friendly service.
| Original language | English |
|---|---|
| Pages (from-to) | 3307-3321 |
| Number of pages | 15 |
| Journal | Journal of Applied Mathematical Modelling |
| Volume | 37 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 Mar 2013 |
| Externally published | Yes |
Keywords
- Decomposition
- Environment and emission
- Integer programming
- Lagrangian relaxation
- Liner shipping
- Transportation
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