@article{de_pater_predictive_2021,
	title = {Predictive maintenance for multi-component systems of repairables with {Remaining}-{Useful}-{Life} prognostics and a limited stock of spare components},
	volume = {214},
	issn = {0951-8320},
	url = {https://www.sciencedirect.com/science/article/pii/S095183202100288X},
	doi = {10.1016/j.ress.2021.107761},
	abstract = {Aircraft maintenance is undergoing a paradigm shift towards predictive maintenance, where the use of sensor data and Remaining-Useful-Life prognostics are central. This paper proposes an integrated approach for predictive aircraft maintenance planning for multiple multi-component systems, where the components are repairables. First, model-based Remaining-Useful-Life prognostics are developed. These prognostics are updated over time, as more sensor data become available. Then, a rolling horizon integer linear program is developed for the maintenance planning of multiple multi-component systems. This model integrates the Remaining-Useful-Life prognostics with the management of a limited stock of spare repairable components. The maintenance of the multiple systems is linked through the availability of spare components and shared maintenance time slots. Our approach is illustrated for a fleet of aircraft, each equipped with a Cooling System consisting of four Cooling Units. For an aircraft to be operational, a minimum of two Cooling Units out of the four need to be operational. The maintenance planning results show that our integrated approach reduces the costs with maintenance by 48\% relative to a corrective maintenance strategy and by 30\% relative to a preventive maintenance strategy. Moreover, using predictive maintenance, components are replaced in anticipation of failure without wasting their useful life. In general, our approach provides a roadmap from Remaining-Useful-Life prognostics to maintenance planning for multiple multi-component systems of repairables with a limited stock of spares.},
	language = {en},
	urldate = {2021-09-28},
	journal = {Reliability Engineering \& System Safety},
	author = {de Pater, Ingeborg and Mitici, Mihaela},
	month = oct,
	year = {2021},
	keywords = {Aircraft Cooling Units, Aircraft predictive maintenance of repairables, Management of spare components, Multiple multi-component systems, RUL prognostics},
	pages = {107761},
}

{"_id":"CFtd66qzAvPxg9tST","bibbaseid":"depater-mitici-predictivemaintenanceformulticomponentsystemsofrepairableswithremainingusefullifeprognosticsandalimitedstockofsparecomponents-2021","author_short":["de Pater, I.","Mitici, M."],"bibdata":{"bibtype":"article","type":"article","title":"Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components","volume":"214","issn":"0951-8320","url":"https://www.sciencedirect.com/science/article/pii/S095183202100288X","doi":"10.1016/j.ress.2021.107761","abstract":"Aircraft maintenance is undergoing a paradigm shift towards predictive maintenance, where the use of sensor data and Remaining-Useful-Life prognostics are central. This paper proposes an integrated approach for predictive aircraft maintenance planning for multiple multi-component systems, where the components are repairables. First, model-based Remaining-Useful-Life prognostics are developed. These prognostics are updated over time, as more sensor data become available. Then, a rolling horizon integer linear program is developed for the maintenance planning of multiple multi-component systems. This model integrates the Remaining-Useful-Life prognostics with the management of a limited stock of spare repairable components. The maintenance of the multiple systems is linked through the availability of spare components and shared maintenance time slots. Our approach is illustrated for a fleet of aircraft, each equipped with a Cooling System consisting of four Cooling Units. For an aircraft to be operational, a minimum of two Cooling Units out of the four need to be operational. The maintenance planning results show that our integrated approach reduces the costs with maintenance by 48% relative to a corrective maintenance strategy and by 30% relative to a preventive maintenance strategy. Moreover, using predictive maintenance, components are replaced in anticipation of failure without wasting their useful life. In general, our approach provides a roadmap from Remaining-Useful-Life prognostics to maintenance planning for multiple multi-component systems of repairables with a limited stock of spares.","language":"en","urldate":"2021-09-28","journal":"Reliability Engineering & System Safety","author":[{"propositions":["de"],"lastnames":["Pater"],"firstnames":["Ingeborg"],"suffixes":[]},{"propositions":[],"lastnames":["Mitici"],"firstnames":["Mihaela"],"suffixes":[]}],"month":"October","year":"2021","keywords":"Aircraft Cooling Units, Aircraft predictive maintenance of repairables, Management of spare components, Multiple multi-component systems, RUL prognostics","pages":"107761","bibtex":"@article{de_pater_predictive_2021,\n\ttitle = {Predictive maintenance for multi-component systems of repairables with {Remaining}-{Useful}-{Life} prognostics and a limited stock of spare components},\n\tvolume = {214},\n\tissn = {0951-8320},\n\turl = {https://www.sciencedirect.com/science/article/pii/S095183202100288X},\n\tdoi = {10.1016/j.ress.2021.107761},\n\tabstract = {Aircraft maintenance is undergoing a paradigm shift towards predictive maintenance, where the use of sensor data and Remaining-Useful-Life prognostics are central. This paper proposes an integrated approach for predictive aircraft maintenance planning for multiple multi-component systems, where the components are repairables. First, model-based Remaining-Useful-Life prognostics are developed. These prognostics are updated over time, as more sensor data become available. Then, a rolling horizon integer linear program is developed for the maintenance planning of multiple multi-component systems. This model integrates the Remaining-Useful-Life prognostics with the management of a limited stock of spare repairable components. The maintenance of the multiple systems is linked through the availability of spare components and shared maintenance time slots. Our approach is illustrated for a fleet of aircraft, each equipped with a Cooling System consisting of four Cooling Units. For an aircraft to be operational, a minimum of two Cooling Units out of the four need to be operational. The maintenance planning results show that our integrated approach reduces the costs with maintenance by 48\\% relative to a corrective maintenance strategy and by 30\\% relative to a preventive maintenance strategy. Moreover, using predictive maintenance, components are replaced in anticipation of failure without wasting their useful life. In general, our approach provides a roadmap from Remaining-Useful-Life prognostics to maintenance planning for multiple multi-component systems of repairables with a limited stock of spares.},\n\tlanguage = {en},\n\turldate = {2021-09-28},\n\tjournal = {Reliability Engineering \\& System Safety},\n\tauthor = {de Pater, Ingeborg and Mitici, Mihaela},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Aircraft Cooling Units, Aircraft predictive maintenance of repairables, Management of spare components, Multiple multi-component systems, RUL prognostics},\n\tpages = {107761},\n}\n\n","author_short":["de Pater, I.","Mitici, M."],"key":"de_pater_predictive_2021","id":"de_pater_predictive_2021","bibbaseid":"depater-mitici-predictivemaintenanceformulticomponentsystemsofrepairableswithremainingusefullifeprognosticsandalimitedstockofsparecomponents-2021","role":"author","urls":{"Paper":"https://www.sciencedirect.com/science/article/pii/S095183202100288X"},"keyword":["Aircraft Cooling Units","Aircraft predictive maintenance of repairables","Management of spare components","Multiple multi-component systems","RUL prognostics"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/mh_lenguyen","dataSources":["SZvSgtLYdBsPSQ3NM","iwKepCrWBps7ojhDx"],"keywords":["aircraft cooling units","aircraft predictive maintenance of repairables","management of spare components","multiple multi-component systems","rul prognostics"],"search_terms":["predictive","maintenance","multi","component","systems","repairables","remaining","useful","life","prognostics","limited","stock","spare","components","de pater","mitici"],"title":"Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components","year":2021}