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• W2124274583 abstract "A branch-and-cut IP solver is developed for a class of structured 0/1 integer programs arising from a truck dispatching scheduling problem. This problem involves a special class of knapsack equality constraints. Families of facets for the polytopes associated with individual knapsack constraints are identified. In addition, a notion of “conflict graph” is utilized to obtain an approximating node-packing polytope for the convex hull of all 0/1 solutions. The branch-and-cut solver generates cuts based on both the knapsack equality constraints and the approximating node-packing polytope, and incorporates these cuts into a tree-search algorithm that uses problem reformulation and linear programming-based heuristics at each node in the search tree to assist in the solution process. Numerical experiments are performed on large-scale real instances supplied by Texaco Trading & Transportation, Inc. The optimal schedules correspond to cost savings for the company and greater job satisfaction for drivers due to more balanced work schedules and income distribution." @default.
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• W2124274583 date "1998-06-01" @default.
• W2124274583 modified "2023-09-26" @default.
• W2124274583 title "Solving a Truck Dispatching Scheduling Problem Using Branch-and-Cut" @default.
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• W2124274583 doi "https://doi.org/10.1287/opre.46.3.355" @default.
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