Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 562667
Title Procurement planning in oil refining industries considering blending operations
Author(s) Oddsdottir, Thordis Anna; Grunow, Martin; Akkerman, Renzo
Source Computers and Chemical Engineering 58 (2013). - ISSN 0098-1354 - p. 1 - 13.
DOI https://doi.org/10.1016/j.compchemeng.2013.05.006
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) Crude oil scheduling - Decision support - Mixed integer non-linear programming - Oil refining industry - Procurement planning - Solution approach
Abstract

This paper addresses procurement planning in oil refining, which has until now only had limited attention in the literature. We introduce a mixed integer nonlinear programming (MINLP) model and develop a novel two-stage solution approach, which aims at computational efficiency while addressing the problems due to discrepancies between a non-linear and a linearized formulation. The proposed model covers realistic settings by allowing the blending of crude oil in storage tanks, by modeling storage tanks and relevant processing units individually, and by handling more crude oil types and quality parameters than in previous literature. The developed approach is tested using historical data from Statoil A/S as well as through a comprehensive numerical analysis. The approach generates a feasible procurement plan within acceptable computation time, is able to quickly adjust an existing plan to take advantage of individual procurement opportunities, and can be used within a rolling time horizon scheme.

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