Cooperative Parallel Tabu Search for Capacitated Network Design
Journal of Heuristics
A Simplex-Based Tabu Search Method for Capacitated Network Design
INFORMS Journal on Computing
A survey of very large-scale neighborhood search techniques
Discrete Applied Mathematics
Exploring relaxation induced neighborhoods to improve MIP solutions
Mathematical Programming: Series A and B
An optimization algorithm for the inventory routing problem with continuous moves
Computers and Operations Research
An Optimization-Based Heuristic for the Split Delivery Vehicle Routing Problem
Transportation Science
Per-Seat, On-Demand Air Transportation Part II: Parallel Local Search
Transportation Science
A Hybrid Solution Approach for Ready-Mixed Concrete Delivery
Transportation Science
Large-Scale, Less-than-Truckload Service Network Design
Operations Research
Combining Exact and Heuristic Approaches for the Capacitated Fixed-Charge Network Flow Problem
INFORMS Journal on Computing
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We present integer programming models of the service network design problem faced by less-than-truckload LTL freight transportation carriers and a solution approach for the large-scale instances that result in practical applications. To accurately represent freight consolidation opportunities, the models use a fine discretization of time. Furthermore, the models simultaneously route freight and empty trailers and thus explicitly recognize the efficiencies presented by backhaul lanes. The solution approach can generate the traditional service network designs commonly used by LTL carriers but also enables the construction of designs that allow more flexibility, e.g., that allow freight routes to vary by day of week. An iterative improvement scheme is employed that searches a large neighborhood, each iteration using an integer program. Computational experiments using data from a large U.S. carrier demonstrate that the proposed modeling and solution approach has the potential to generate significant cost savings.