Abstract
A mixed integer programming formulation is proposed for hub-and-spoke network design in a competitive environment. It addresses the competition between a newcomer liner service provider and an existing dominating operator, both operating on hub-and-spoke networks. The newcomer company maximizes its market share—which depends on the service time and transportation cost—by locating a predefined number of hubs at candidate ports and designing its network. While general-purpose solvers do not solve instances of even small size, an accelerated Lagrangian method combined with a primal heuristic obtains promising bounds. Our computational experiments on real instances of practical size indicate superiority of our approach.
Original language | English |
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Journal | Transportation Research Part E: Logistics and Transportation Review |
Volume | 46 |
Issue number | 6 |
Pages (from-to) | 991-1004 |
ISSN | 1366-5545 |
DOIs | |
Publication status | E-pub ahead of print - 2010 |
Keywords
- Mixed integer programming
- Liner shipping
- Hub-and-spoke network design
- Enumeration
- Lagrangian relaxation
- Competition