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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Format: | Article |
Language: | English |
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AIDIC Servizi S.r.l.
2025-07-01
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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. |
format | Article |
id | doaj-art-a4e88a0cee5d4cfeb41c6c2a961fefc4 |
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 |