@inbook{63616afdfc894c549c129d0a1098811c,
title = "Enterprise-Wide Optimization for Operations of Crude-Oil Refineries: Closing the Procurement and Scheduling Gap",
abstract = "We propose a quantitative analysis of an enterprise-wide optimization for operations of crude-oil refineries considering the integration of planning and scheduling to close the decision-making gap between the procurement of raw materials or feedstocks and the operations of the production scheduling. From a month to an hour, re-planning and re-scheduling iterations can better predict the processed crude-oil basket, diet or final composition, reducing the production costs and impacts in the process and product demands with respect to the quality of the raw materials. The goal is to interface planning and scheduling decisions within a time-window of a week with the support of re-optimization steps. Then, the selection, delivery, storage and mixture of crude-oil feeds from the tactical procurement planning up to the blend scheduling operations are made more appropriately. The up-to-down sequence of solutions are integrated in a feedback iteration to both reduce time-grids and as a key performance indicator.",
keywords = "Crude-oil refining, Feedback iteration, Planning and scheduling integration",
author = "Menezes, {Brenno C.} and Grossmann, {Ignacio E.} and Kelly, {Jeffrey D.}",
note = "Publisher Copyright: {\textcopyright} 2017 Elsevier B.V.",
year = "2017",
month = oct,
doi = "10.1016/B978-0-444-63965-3.50210-5",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "1249--1254",
booktitle = "Computer Aided Chemical Engineering",
address = "Netherlands",
}