Exact algorithm for solving a special fixed-charge linear programming problem
Journal of Optimization Theory and Applications
A Dynamic Domain Contraction Algorithm for Nonconvex Piecewise Linear Network Flow Problems
Journal of Global Optimization
Models and Methods for Merge-in-Transit Operations
Transportation Science
Designing Distribution Networks: Formulations and Solution Heuristic
Transportation Science
Variable Disaggregation in Network Flow Problems with Piecewise Linear Costs
Operations Research
Algorithms for solving the single-sink fixed-charge transportation problem
Computers and Operations Research
A solution approach to the fixed charge network flow problem using a dynamic slope scaling procedure
Operations Research Letters
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This paper considers a minimum-cost network flow problem in a bipartite graph with a single sink. The transportation costs exhibit a staircase cost structure because such types of transportation cost functions are often found in practice. We present a dynamic programming algorithm for solving this so-called single-sink, fixed-charge, multiple-choice transportation problem exactly. The method exploits heuristics and lower bounds to peg binary variables, improve bounds on flow variables, and reduce the state-space variable. In this way, the dynamic programming method is able to solve large instances with up to 10,000 nodes and 10 different transportation modes in a few seconds, much less time than required by a widely used mixed-integer programming solver and other methods proposed in the literature for this problem.