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Hub-and-spoke network design and fleet deployment for string planning of liner shipping
Authors:Shahin Gelareh  Nelson Maculan  Philippe Mahey  Rahimeh Neamatian Monemi
Institution:1. LGI2A (EA 3926), Université d’Artois, F-62400 Béthune, France;2. LAGIS UMR CNRS 8219, Ecole Polytechnique de Lille, Avenue Paul Langevin, F-59655 Villeneuve d’Ascq, France;3. Université Lille Nord de France, F-59000 Lille, France;4. Federal University of Rio de Janeiro, COPPE-PESC, P.O. Box 68511, Rio de Janeiro, RJ 21941-972, Brazil;5. ISIMA, Université Blaise-Pascal, BP 10125, F-63173 Aubière Cedex, France;6. LIMOS, UMR 6158-CNRS Universitè Blaise-Pascal, BP 10125, F-63173 Aubière Cedex, France
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.
Keywords:Integer programming  Transportation  Liner shipping  Decomposition  Lagrangian relaxation  Environment and emission
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