Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition
This paper describes a maintenance scheduling model for digester banks. Digester banks are network-connected assets that lie on the critical path of the Bayer process, a chemical refinement process that converts bauxite ore into alumina. The banks require different maintenance activities at differen...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Published: |
2024
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| Online Access: | http://purl.org/au-research/grants/arc/IC180100030 http://hdl.handle.net/20.500.11937/96004 |
| _version_ | 1848766070424338432 |
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| author | Spiers, Sandy Bui, Hoa Loxton, Ryan Mansour, Moussa Hollins, Kylie Francis, Richard Martindale, Christopher Pimpale, Yogesh |
| author_facet | Spiers, Sandy Bui, Hoa Loxton, Ryan Mansour, Moussa Hollins, Kylie Francis, Richard Martindale, Christopher Pimpale, Yogesh |
| author_sort | Spiers, Sandy |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper describes a maintenance scheduling model for digester banks. Digester banks are network-connected assets that lie on the critical path of the Bayer process, a chemical refinement process that converts bauxite ore into alumina. The banks require different maintenance activities at different due times. Furthermore, the maintenance schedule is subject to production-related constraints and resource limitations. Given the complexity of scheduling maintenance for large fleets of digester banks, a continuous-time, mixed-integer linear program is formulated to find the cost-minimising maintenance schedule that satisfies all required constraints. A solution approach that employs lazy constraints and Benders decomposition is proposed to solve the model. Unlike generic implementations of Benders decomposition, we show that the subproblems can be solved explicitly using a specialist algorithm. We solve the scheduling model for realistic scenarios involving two Bayer refineries based in Western Australia. |
| first_indexed | 2025-11-14T11:45:18Z |
| format | Journal Article |
| id | curtin-20.500.11937-96004 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:45:18Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-960042024-11-07T04:48:34Z Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition Spiers, Sandy Bui, Hoa Loxton, Ryan Mansour, Moussa Hollins, Kylie Francis, Richard Martindale, Christopher Pimpale, Yogesh This paper describes a maintenance scheduling model for digester banks. Digester banks are network-connected assets that lie on the critical path of the Bayer process, a chemical refinement process that converts bauxite ore into alumina. The banks require different maintenance activities at different due times. Furthermore, the maintenance schedule is subject to production-related constraints and resource limitations. Given the complexity of scheduling maintenance for large fleets of digester banks, a continuous-time, mixed-integer linear program is formulated to find the cost-minimising maintenance schedule that satisfies all required constraints. A solution approach that employs lazy constraints and Benders decomposition is proposed to solve the model. Unlike generic implementations of Benders decomposition, we show that the subproblems can be solved explicitly using a specialist algorithm. We solve the scheduling model for realistic scenarios involving two Bayer refineries based in Western Australia. 2024 Journal Article http://hdl.handle.net/20.500.11937/96004 10.1007/s10479-023-05561-6 http://purl.org/au-research/grants/arc/IC180100030 http://creativecommons.org/licenses/by/4.0/ fulltext |
| spellingShingle | Spiers, Sandy Bui, Hoa Loxton, Ryan Mansour, Moussa Hollins, Kylie Francis, Richard Martindale, Christopher Pimpale, Yogesh Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition |
| title | Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition |
| title_full | Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition |
| title_fullStr | Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition |
| title_full_unstemmed | Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition |
| title_short | Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition |
| title_sort | bayer digestion maintenance optimisation with lazy constraints and benders decomposition |
| url | http://purl.org/au-research/grants/arc/IC180100030 http://hdl.handle.net/20.500.11937/96004 |