Continuous-Time Formulation for Oil Products Transportation Scheduling

Hossein Mostafaei; Pedro M. Castro

doi:10.1007/978-3-319-44896-1_25

Continuous-Time Formulation for Oil Products Transportation Scheduling

Hossein Mostafaei, Pedro M. Castro

Not published at Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

Abstract

This paper presents a novel Mixed Integer Linear Programming (MILP) model for the operational planning of an oil transportation system characterized by a straight multiproduct pipeline with dual purpose terminals that could represent facility input or output. It is based on a continuous representation in both time and volume scales and is capable of meeting all operational constraints related to product sequencing, mass balances and pipeline loading/unloading operations. Contrary to previous approaches, the model allows an intermediate node and the previous segment to simultaneously inject material in the pipeline. Computational results and data are reported.

Original language	English
Title of host publication	International Conference on Computational Logistics
Subtitle of host publication	ICCL 2016
Editors	A. Paias, M. Ruthmair, S. Voss
Pages	384-396
ISBN (Electronic)	978-3-319-44896-1
DOIs	https://doi.org/10.1007/978-3-319-44896-1_25
Publication status	Published - 2016
MoE publication type	A3 Part of a book or another research book

Keywords

Transportation
MILP
Pipeline networks
Continuous representation

Access to Document

10.1007/978-3-319-44896-1_25

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Cite this

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AB - This paper presents a novel Mixed Integer Linear Programming (MILP) model for the operational planning of an oil transportation system characterized by a straight multiproduct pipeline with dual purpose terminals that could represent facility input or output. It is based on a continuous representation in both time and volume scales and is capable of meeting all operational constraints related to product sequencing, mass balances and pipeline loading/unloading operations. Contrary to previous approaches, the model allows an intermediate node and the previous segment to simultaneously inject material in the pipeline. Computational results and data are reported.

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KW - Pipeline networks

KW - Continuous representation

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