Journal
COMPUTERS & OPERATIONS RESEARCH
Volume 73, Issue -, Pages 27-42Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2016.03.006
Keywords
Mathematical modeling; Mixed-integer linear programming; Generalized disjunctive programming; Multiproduct pipelines
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Funding
- Azarbaijan Shahid Madani University
- Fundacao para a Ciencia e Tecnologia through program Investigador FCT
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This paper addresses the optimal scheduling of straight pipelines featuring multiple intermediate nodes acting as dual-purpose stations, with a continuous-time Mixed-Integer Linear Programming formulation partly derived from Generalized Disjunctive Programming. The new model allows for an intermediate station to act as an output and input terminal at the same time so as to reduce the number of segment switches between active and idle, and consequently decrease operating costs. Contrary to previous approaches, decisions related to batch sizing, batch sequencing and timing are determined in a single step. Several examples of growing complexity are solved to illustrate the effectiveness and computational advantage of the proposed model in both solution quality and CPU time. (C) 2016 Elsevier Ltd. All rights reserved.
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