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 |
|---|---|
| Pages (from-to) | 991-1004 |
| Number of pages | 14 |
| Journal | Transportation Research Part E: Logistics and Transportation Review |
| Volume | 46 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Nov 2010 |
| Externally published | Yes |
Keywords
- Competition
- Enumeration
- Hub-and-spoke network design
- Lagrangian relaxation
- Liner shipping
- Mixed integer programming
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