Sequencing inputs to multi-commodity pipelines |
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Authors: | Christopher A Hane H Donald Ratliff |
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Institution: | (1) CAPS Logistics, Inc., 2700 Cumberland Pkwy, 30339 Atlanta, GA, USA;(2) School of Industrial and Systems Engineering, Georgia Institute of Technology, 30332 Atlanta, GA, USA |
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Abstract: | This paper examines the problem of sequencing the input of commodities, e.g. petroleum products, to a pipeline so that a surrogate for pumping and maintenance costs is minimized. This problem is complicated by the need to impose a discrete framework which handles the sequencing choices on a continuous flow problem. By focusing on the discrete aspects of the problem, the proposed model allows decomposition of the sequencing problem into subproblems which can be easily priced out in a branch-and-bound algorithm. Computational results on data generated to mimic a large U.S. petroleum pipeline are presented. These results show that the branch-and-bound algorithm only explores a small region of the solution space within a reasonable amount of time, less than 2.5 minutes to optimally sequence deliveries to twenty-four destinations. |
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