Branch-And-Price: Column Generation for Solving Huge Integer Programs
Operations Research
A Survey of Optimization Models for Train Routing and Scheduling
Transportation Science
Multimodal Express Package Delivery: a Service Network Design Application
Transportation Science
Selected Topics in Column Generation
Operations Research
Ship Scheduling and Network Design for Cargo Routing in Liner Shipping
Transportation Science
Tabu assisted guided local search approaches for freight service network design
Information Sciences: an International Journal
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We address the service network design problem with asset management considerations for consolidation-based freight carriers. Given a set of demands to be transported from origins to destinations and a set of transshipment facilities, the objective is to select services and their schedules, build routes for the assets (vehicles) operating these scheduled services, and move the demands (commodities) through the resulting service network as efficiently as possible. We propose a first branch-and-price framework for the mixed-integer formulation of the problem with integer cycle design and continuous flow-path variables. The proposed method includes particular column generation subproblems for dynamically constructing these cycles and paths, as well as an acceleration technique to identify integer solutions rapidly. The computational study shows that the proposed method finds better solutions for large network instances than reported previously.