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Integrating quantum computing into smart maintenance scheduling
Thesis (MEng)--Stellenbosch University, 2024.
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| Format: | Thesis |
| Language: | English |
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867614062500642816 |
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| access_status_str | Open Access |
| author | Bernreuther, Marius Raphael |
| author2 | Jooste, Johannes L. |
| author_browse | Bernreuther, Marius Raphael Jooste, Johannes L. |
| author_facet | Jooste, Johannes L. Bernreuther, Marius Raphael |
| author_sort | Bernreuther, Marius Raphael |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description |
Thesis (MEng)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/131573 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:46:04.365Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/131573 Integrating quantum computing into smart maintenance scheduling Bernreuther, Marius Raphael Jooste, Johannes L. Lucke, Dominik Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Engineering Management. Quantum computing Decision support systems Production scheduling UCTD Thesis (MEng)--Stellenbosch University, 2024. This thesis examines the integration of quantum computing into smart maintenance scheduling problems, enabling the integrated scheduling of production and maintenance to enhance decision-making within manufacturing environments. The lack of coordination and integrated scheduling of maintenance and production plans leads to significant economic inefficiencies. The key objective is to develop an optimisation model, which integrates the scheduling of maintenance and production using quantum computing. The design science methodology is applied to create the optimisation model. A literature review is conducted to determine the current status of scientific progress in the field, and qualitative research is used to reveal requirements and evaluation criteria. The literature reveals a gap in the integration of quantum computing into this type of scheduling problem. Qualitative research analyses the requirements for integrated scheduling models, supporting the relevance of the subsequently developed model for practical application. A three-step approach is developed, combining simulation-based optimisation and metaheuristics to create an initial integrated schedule. This is a usual state-of-the-art approach revealed by the literature review. Subsequently, the quantum approximate optimisation algorithm is iteratively applied for prescheduling maintenance tasks. The model is verified, validated, and tested against the evaluation criteria identified during the qualitative research. The thesis demonstrates the feasibility of quantum computing for smart maintenance scheduling and proposes a method to include quantum computing algorithms in complex integrated scheduling problems. Due to the novelty of integrating quantum computing into this type of problem, further research opportunities are identified and suggested. AFRIKAANSE OPSOMMING: Hierdie tesis ondersoek die integrasie van kwantumrekenaars in slim instandhoudingskeduleringsprobleme, wat die ge¨ıntegreerde skedulering van produksie en instandhouding moontlik maak om besluitneming binne vervaardigingsomgewings te verbeter. Die gebrek aan ko¨ordinasie en ge¨ıntegreerde skedulering van instandhouding en produksieplanne lei tot aansienlike ekonomiese ondoeltreffendheid. Die doelwit is om ’n optimaliseringsmodel te ontwikkel wat die skedulering van instandhouding en produksie integreer deur gebruik te maak van kwantumberekeninge. Die ontwerpwetenskapmetodologie is toegepas om die optimeringsmodel te skep. ’n Literatuuroorsig is gedoen om die huidige status van wetenskaplike vordering in die veld te bepaal, en kwalitatiewe navorsing is gebruik om vereistes en evalueringskriteria te bepaal. Die literatuur het ’n leemte in die integrasie van kwantumberekeninge in hierdie tipe skeduleringsprobleem aan die lig gebring. Deur kwalitatiewe navorsing is vereistes vir ge¨ıntegreerde skeduleringsmodelle bepaal, wat die relevansie van die daaropvolgende ontwikkelde model vir praktiese toepassing ondersteun. ’n Driestap-benadering is ontwikkel, wat simulasie-gebaseerde optimalisering en metaheuristiek kombineer om ’n aanvanklike ge¨ıntegreerde skedule te skep, wat algemene praktyk is wat deur die literatuuroorsig aan die lig gebring is. Vervolgens is die kwantum benaderde optimeringsalgoritme iteratief toegepas vir voorafskedulering van instandhoudingstake. Die model is geverifieer, bekragtig en getoets teen die evalueringskriteria wat deur die kwalitatiewe navorsing ge¨ıdentifiseer is. Die tesis demonstreer die haalbaarheid van kwantumrekenaars vir slim instandhoudingskedulering en stel ’n metode voor om kwantumrekenaaralgoritmes in kompleks ge¨ıntegreerde skeduleringsprobleme in te sluit. As gevolg van die nuutheid om kwantumrekenaarkunde in hierdie tipe probleem te integreer, word verdere navorsingsgeleenthede ge¨ıdentifiseer en voorgestel. Masters 2025-01-27T12:30:07Z 2025-01-27T12:30:07Z 2024-12 Thesis https://scholar.sun.ac.za/handle/10019.1/131573 en Stellenbosch University xiv, 129 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Quantum computing Decision support systems Production scheduling UCTD Bernreuther, Marius Raphael Integrating quantum computing into smart maintenance scheduling |
| title | Integrating quantum computing into smart maintenance scheduling |
| title_full | Integrating quantum computing into smart maintenance scheduling |
| title_fullStr | Integrating quantum computing into smart maintenance scheduling |
| title_full_unstemmed | Integrating quantum computing into smart maintenance scheduling |
| title_short | Integrating quantum computing into smart maintenance scheduling |
| title_sort | integrating quantum computing into smart maintenance scheduling |
| topic | Quantum computing Decision support systems Production scheduling UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/131573 |
| work_keys_str_mv | AT bernreuthermariusraphael integratingquantumcomputingintosmartmaintenancescheduling |