{"id":"https://openalex.org/W4417455459","doi":"https://doi.org/10.1049/icp.2025.3691","title":"Rolling-horizon optimization of dynamic grouping maintenance for series systems","display_name":"Rolling-horizon optimization of dynamic grouping maintenance for series systems","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4417455459","doi":"https://doi.org/10.1049/icp.2025.3691"},"language":"en","primary_location":{"id":"doi:10.1049/icp.2025.3691","doi":"https://doi.org/10.1049/icp.2025.3691","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2025.3691","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tao Yu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yu","raw_affiliation_strings":["College of Intelligence Science and Technology, National University of Defense Technology, Changsha, People's Republic of China","National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, People's Republic of China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha, People's Republic of China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102873970","display_name":"Xu Luo","orcid":"https://orcid.org/0000-0001-6942-896X","observed_orcids":["https://orcid.org/0000-0001-6942-896X"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Luo","raw_affiliation_strings":["College of Intelligence Science and Technology, National University of Defense Technology, Changsha, People's Republic of China","National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, People's Republic of China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha, People's Republic of China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440422","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-4239-3503","observed_orcids":["https://orcid.org/0000-0003-4239-3503"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["College of Intelligence Science and Technology, National University of Defense Technology, Changsha, People's Republic of China","National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, People's Republic of China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha, People's Republic of China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074022282","display_name":"Jinlong Zhao","orcid":"https://orcid.org/0000-0001-7079-1336","observed_orcids":["https://orcid.org/0000-0001-7079-1336"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Zhao","raw_affiliation_strings":["China North Vehicle Research Institute, Beijing, People's Republic of China","College of Intelligence Science and Technology, National University of Defense Technology, Changsha, People's Republic of China","National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China North Vehicle Research Institute, Beijing, People's Republic of China","institution_ids":[]},{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, People's Republic of China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha, People's Republic of China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50491907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"35","first_page":"1447","last_page":"1456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13293","display_name":"Engineering and Test Systems","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/series-systems","display_name":"series systems","score":0.8230000138282776},{"id":"https://openalex.org/keywords/rolling-horizon-optimization","display_name":"rolling horizon optimization","score":0.8539999723434448},{"id":"https://openalex.org/keywords/preventive-maintenance-scheduling","display_name":"preventive maintenance scheduling","score":0.828000009059906},{"id":"https://openalex.org/keywords/prognostics-and-health-management","display_name":"prognostics and health management","score":0.9129999876022339},{"id":"https://openalex.org/keywords/real-time-monitoring-data","display_name":"real-time monitoring data","score":0.7799999713897705},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.8830000162124634},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"dynamic programming","score":0.9959999918937683},{"id":"https://openalex.org/keywords/maintenance-cost-minimization","display_name":"maintenance cost minimization","score":0.9210000038146973},{"id":"https://openalex.org/keywords/multicomponent-systems","display_name":"multicomponent systems","score":0.8619999885559082}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.6834999918937683},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6430000066757202},{"id":"https://openalex.org/C24090081","wikidata":"https://www.wikidata.org/wiki/Q1043452","display_name":"Preventive maintenance","level":2,"score":0.6021000146865845},{"id":"https://openalex.org/C2776671899","wikidata":"https://www.wikidata.org/wiki/Q7098945","display_name":"Optimal maintenance","level":2,"score":0.5999000072479248},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.5504000186920166},{"id":"https://openalex.org/C2778814095","wikidata":"https://www.wikidata.org/wiki/Q6736790","display_name":"Maintenance actions","level":2,"score":0.5284000039100647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5282999873161316},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5019000172615051},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.491100013256073},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.46399998664855957},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37459999322891235},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3422999978065491},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.2773999869823456},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C2776907094","wikidata":"https://www.wikidata.org/wiki/Q1043452","display_name":"Condition-based maintenance","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/icp.2025.3691","doi":"https://doi.org/10.1049/icp.2025.3691","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2025.3691","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-component":[0],"series":[1],"systems":[2,67],"require":[3],"scientifically":[4],"formulated":[5],"group":[6,44,130],"maintenance":[7,45,72,86,102,131],"strategies":[8],"due":[9],"to":[10,28,68,81,97],"the":[11,18,26,32,83,99,121],"intricate":[12],"interdependencies":[13],"among":[14],"components.":[15],"To":[16],"address":[17],"limitations":[19],"of":[20,34],"static":[21],"grouping":[22],"methods,":[23],"which":[24],"lack":[25],"capacity":[27],"adapt":[29],"dynamically":[30],"in":[31,114,129],"absence":[33],"real-time":[35,57],"system":[36],"status":[37],"information,":[38],"this":[39],"study":[40],"proposes":[41],"a":[42,50],"dynamic":[43,115],"optimization":[46],"model":[47,55],"based":[48],"on":[49],"rolling":[51],"horizon":[52],"framework.":[53],"The":[54],"utilizes":[56],"monitoring":[58],"data":[59],"obtained":[60],"from":[61],"Prognostics":[62],"and":[63,124],"Health":[64],"Management":[65],"(PHM)":[66],"construct":[69],"continuously":[70],"updated":[71],"planning":[73,106],"windows.":[74],"Particle":[75],"Swarm":[76],"Optimization":[77],"(PSO)":[78],"is":[79,95],"applied":[80],"determine":[82],"optimal":[84,101],"preventive":[85],"timing":[87],"for":[88],"individual":[89],"components,":[90],"while":[91],"Dynamic":[92],"Programming":[93],"(DP)":[94],"employed":[96],"identify":[98],"globally":[100],"combination":[103],"within":[104],"each":[105],"window.":[107],"This":[108],"integrated":[109],"approach":[110],"ensures":[111],"cost":[112],"minimization":[113],"operational":[116],"environments.":[117],"Case":[118],"studies":[119],"validate":[120],"model's":[122],"effectiveness":[123],"highlight":[125],"its":[126],"practical":[127],"applicability":[128],"scenarios.":[132]},"counts_by_year":[],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2025-12-18T00:00:00"}