{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T08:17:44Z","timestamp":1783066664227,"version":"3.54.6"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100025517","name":"Big Data Computing Center, Southeast University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100025517","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72071044"],"award-info":[{"award-number":["72071044"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72571061"],"award-info":[{"award-number":["72571061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72371095"],"award-info":[{"award-number":["72371095"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering &amp; System Safety"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.ress.2026.113023","type":"journal-article","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:17:23Z","timestamp":1781223443000},"page":"113023","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P1","title":["Joint optimization of opportunistic maintenance and spare parts replenishment for asset fleets under imperfect condition monitoring"],"prefix":"10.1016","volume":"277","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2898-0632","authenticated-orcid":false,"given":"Yifan","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yicheng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziqiang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2026.113023_bib0001","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1016\/j.ejor.2022.05.020","article-title":"A hybrid repair-replacement policy in the proportional hazards model","volume":"304","author":"Zheng","year":"2023","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2026.113023_bib0002","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1002\/nav.22201","article-title":"Structured replacement policies for a system subject to random mission types","volume":"71","author":"Zheng","year":"2024","journal-title":"Naval Res Logist (NRL)"},{"key":"10.1016\/j.ress.2026.113023_bib0003","first-page":"235","article-title":"Maintenance optimization considering the mutual dependence of the environment and system with decreasing effects of imperfect maintenance","author":"Gan","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0004","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.ejor.2007.12.012","article-title":"A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure","volume":"194","author":"Wang","year":"2009","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2026.113023_bib0005","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1016\/j.ejor.2017.03.019","article-title":"Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems","volume":"262","author":"Zhang","year":"2017","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2026.113023_bib0006","first-page":"247","article-title":"Joint optimization of maintenance and spares inventory policy for a series-parallel system considering dependent failure processes","author":"Qi","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.108197","article-title":"Critical project planning and spare parts inventory management in shutdown maintenance","volume":"219","author":"Zhu","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0008","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1080\/24725854.2022.2127164","article-title":"A stochastic programming model for jointly optimizing maintenance and spare parts inventory for IoT applications","volume":"55","author":"Shi","year":"2023","journal-title":"IISE Trans"},{"key":"10.1016\/j.ress.2026.113023_bib0009","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.actaastro.2023.10.028","article-title":"Data-driven joint optimization of maintenance and spare parts provisioning for deep space habitats: a stochastic programming approach","volume":"214","author":"Rozas","year":"2024","journal-title":"Acta Astronaut"},{"key":"10.1016\/j.ress.2026.113023_bib0010","first-page":"8","article-title":"A multi-stage stochastic programming approach for overhaul and supply chain planning of modular physical assets: case study","volume":"26","author":"Asghari","year":"2026","journal-title":"Oper Res"},{"key":"10.1016\/j.ress.2026.113023_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111464","article-title":"A multi-stage stochastic programming for joint condition-based replacement and spare parts ordering towards complex manufacturing system with uncertain lead times","volume":"264","author":"Ding","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0012","doi-asserted-by":"crossref","first-page":"1220","DOI":"10.1016\/j.ejor.2023.01.011","article-title":"Joint condition-based maintenance and spare provisioning policy for a K-out-of-N system with failures during inspection intervals","volume":"308","author":"Zheng","year":"2023","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2026.113023_bib0013","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.ejor.2016.07.047","article-title":"Joint condition-based maintenance and inventory optimization for systems with multiple components","volume":"257","author":"Olde Keizer","year":"2017","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2026.113023_bib0014","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.ejor.2020.08.016","article-title":"Joint optimization of condition-based maintenance and inventory control for a k-out-of-n:f system of multi-state degrading components","volume":"290","author":"Wang","year":"2021","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2026.113023_bib0015","first-page":"210","article-title":"Joint optimization of condition-based maintenance and spare parts orders for multi-unit systems with dual sourcing","author":"Zheng","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0016","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.ins.2023.03.064","article-title":"Deep reinforce learning for joint optimization of condition-based maintenance and spare ordering","volume":"634","author":"Hao","year":"2023","journal-title":"Inf Sci (Ny)"},{"key":"10.1016\/j.ress.2026.113023_bib0017","first-page":"241","article-title":"Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm","author":"Zheng","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0018","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1080\/00207540600596882","article-title":"Optimal condition based maintenance with imperfect information and the proportional hazards model","volume":"45","author":"Ghasemi","year":"2007","journal-title":"Int J Prod Res"},{"key":"10.1016\/j.ress.2026.113023_bib0019","first-page":"207","article-title":"Optimal multi-type inspection policy for systems with imperfect online monitoring","author":"Liu","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0020","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.ress.2019.04.034","article-title":"Joint optimization of monitoring quality and replacement decisions in condition-based maintenance","volume":"189","author":"Nguyen","year":"2019","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0021","first-page":"226","article-title":"A predictive Markov decision process for optimizing inspection and maintenance strategies of partially observable multi-state systems","author":"Guo","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0022","first-page":"239","article-title":"Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: an application to railway systems","author":"Arcieri","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.108159","article-title":"A Bayesian condition-based maintenance and monitoring policy with variable sampling intervals","volume":"218","author":"Kampitsis","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0024","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.ejor.2023.05.022","article-title":"Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations","volume":"311","author":"Deep","year":"2023","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2026.113023_bib0025","unstructured":"Morato P., Papakonstantinou K., Andriotis C., Rigo P. Managing offshore wind turbines through Markov decision processes and dynamic Bayesian networks 2022."},{"key":"10.1016\/j.ress.2026.113023_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2019.04.036","article-title":"Managing engineering systems with large state and action spaces through deep reinforcement learning","volume":"191","author":"Andriotis","year":"2019","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0027","first-page":"212","article-title":"Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints","author":"Andriotis","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0028","doi-asserted-by":"crossref","unstructured":"Morato P.G., Andriotis C.P., Papakonstantinou K.G., Rigo P. Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning. 2022.","DOI":"10.1016\/j.ress.2023.109144"},{"key":"10.1016\/j.ress.2026.113023_bib0029","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1080\/24725854.2022.2062627","article-title":"Selective maintenance and inspection optimization for partially observable systems: an interactively sequential decision framework","volume":"55","author":"Liu","year":"2023","journal-title":"IISE Trans"},{"key":"10.1016\/j.ress.2026.113023_bib0030","doi-asserted-by":"crossref","first-page":"7967","DOI":"10.1007\/s10994-024-06559-2","article-title":"POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance","volume":"113","author":"Arcieri","year":"2024","journal-title":"Mach Learn"},{"key":"10.1016\/j.ress.2026.113023_bib0031","first-page":"217","article-title":"Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning","author":"Zhou","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113023_bib0032","article-title":"Soft actor-critic algorithms and applications","author":"Haarnoja","year":"2018","journal-title":"arXiv preprint"},{"key":"10.1016\/j.ress.2026.113023_bib0033","series-title":"Proceedings of the 35th International Conference on Machine Learning","first-page":"1861","article-title":"Soft actor-critic: off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume":"80","author":"Haarnoja","year":"2018"},{"key":"10.1016\/j.ress.2026.113023_bib0034","series-title":"Control system toolbox documentation","article-title":"particleFilter: particle filter object for online state estimation","year":"2026"},{"key":"10.1016\/j.ress.2026.113023_bib0035","series-title":"ECE 8540 analysis of tracking systems","article-title":"Lecture notes: particle filter","author":"Hoover","year":"2012"}],"container-title":["Reliability Engineering &amp; System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095183202600832X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095183202600832X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T07:37:23Z","timestamp":1783064243000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095183202600832X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":35,"alternative-id":["S095183202600832X"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2026.113023","relation":{},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Joint optimization of opportunistic maintenance and spare parts replenishment for asset fleets under imperfect condition monitoring","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2026.113023","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113023"}}