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dc.contributor.authorSpiers, Sandy
dc.contributor.authorBui, Hoa
dc.contributor.authorLoxton, Ryan
dc.contributor.authorMansour, Moussa
dc.contributor.authorHollins, Kylie
dc.contributor.authorFrancis, Richard
dc.contributor.authorMartindale, Christopher
dc.contributor.authorPimpale, Yogesh
dc.date.accessioned2024-10-03T07:07:05Z
dc.date.available2024-10-03T07:07:05Z
dc.date.issued2024
dc.identifier.citationSpiers, S. and Bui, H.T. and Loxton, R. and Mansour, M.R. and Hollins, K. and Francis, R. and Martindale, C. et al. 2024. Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition. Annals of Operations Research. 338 (1): pp. 269-302.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/96004
dc.identifier.doi10.1007/s10479-023-05561-6
dc.description.abstract

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.

dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/IC180100030
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleBayer digestion maintenance optimisation with lazy constraints and Benders decomposition
dc.typeJournal Article
dcterms.source.volume338
dcterms.source.number1
dcterms.source.startPage269
dcterms.source.endPage302
dcterms.source.issn0254-5330
dcterms.source.titleAnnals of Operations Research
dc.date.updated2024-10-03T07:07:04Z
curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidBui, Hoa [0000-0002-1698-6383]
curtin.contributor.orcidLoxton, Ryan [0000-0001-9821-2885]
curtin.contributor.researcheridLoxton, Ryan [F-9383-2014]
dcterms.source.eissn1572-9338
curtin.contributor.scopusauthoridBui, Hoa [57201853363]
curtin.contributor.scopusauthoridLoxton, Ryan [24438257500]
curtin.repositoryagreementV3


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