Long-term Turnaround Planning for an Oil Refinery Using a Milp Model

This study presents a discrete-time mixed-integer linear programming (MILP) model to optimize long-term maintenance turnaround scheduling in an oil refinery focused on fuel production. Refineries are complex networks of integrated process units, and maintenance turnarounds, involving temporary shutd...

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Main Authors: Ricardo A. de O. Lima, Reginaldo Guirardello
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2025-07-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/15422
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author Ricardo A. de O. Lima
Reginaldo Guirardello
author_facet Ricardo A. de O. Lima
Reginaldo Guirardello
author_sort Ricardo A. de O. Lima
collection DOAJ
description This study presents a discrete-time mixed-integer linear programming (MILP) model to optimize long-term maintenance turnaround scheduling in an oil refinery focused on fuel production. Refineries are complex networks of integrated process units, and maintenance turnarounds, involving temporary shutdowns for inspection and repair, can significantly disrupt production and reduce revenues. The MILP model aims to minimize these disruptions by optimizing turnaround schedules while maintaining product supply and maximizing economic performance. The model built in GAMS incorporates flow, labor, resource, and planning constraints, allowing for different unit groupings and scenario simulations. Key outputs include the maintenance schedule, unit utilization rates, intermediate stock levels, production, manpower, and maintenance costs. The model serves as a decision-support tool for refining managers, enabling them to plan maintenance interventions that maximize operating profit while adhering to operational constraints.
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institution Matheson Library
issn 2283-9216
language English
publishDate 2025-07-01
publisher AIDIC Servizi S.r.l.
record_format Article
series Chemical Engineering Transactions
spelling doaj-art-a4e88a0cee5d4cfeb41c6c2a961fefc42025-07-31T06:40:13ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162025-07-01117Long-term Turnaround Planning for an Oil Refinery Using a Milp ModelRicardo A. de O. LimaReginaldo GuirardelloThis study presents a discrete-time mixed-integer linear programming (MILP) model to optimize long-term maintenance turnaround scheduling in an oil refinery focused on fuel production. Refineries are complex networks of integrated process units, and maintenance turnarounds, involving temporary shutdowns for inspection and repair, can significantly disrupt production and reduce revenues. The MILP model aims to minimize these disruptions by optimizing turnaround schedules while maintaining product supply and maximizing economic performance. The model built in GAMS incorporates flow, labor, resource, and planning constraints, allowing for different unit groupings and scenario simulations. Key outputs include the maintenance schedule, unit utilization rates, intermediate stock levels, production, manpower, and maintenance costs. The model serves as a decision-support tool for refining managers, enabling them to plan maintenance interventions that maximize operating profit while adhering to operational constraints.https://www.cetjournal.it/index.php/cet/article/view/15422
spellingShingle Ricardo A. de O. Lima
Reginaldo Guirardello
Long-term Turnaround Planning for an Oil Refinery Using a Milp Model
Chemical Engineering Transactions
title Long-term Turnaround Planning for an Oil Refinery Using a Milp Model
title_full Long-term Turnaround Planning for an Oil Refinery Using a Milp Model
title_fullStr Long-term Turnaround Planning for an Oil Refinery Using a Milp Model
title_full_unstemmed Long-term Turnaround Planning for an Oil Refinery Using a Milp Model
title_short Long-term Turnaround Planning for an Oil Refinery Using a Milp Model
title_sort long term turnaround planning for an oil refinery using a milp model
url https://www.cetjournal.it/index.php/cet/article/view/15422
work_keys_str_mv AT ricardoadeolima longtermturnaroundplanningforanoilrefineryusingamilpmodel
AT reginaldoguirardello longtermturnaroundplanningforanoilrefineryusingamilpmodel