A state-specific joint size, maintenance, and inventory policy for a k-out-of-n load-sharing system subject to self-announcing failures
Making optimal decisions for system size and its components’ replacement and spare parts’ replenishment is crucial for the normal operation of a k-out-of-n system whose components deteriorate over time. This task is challenging when the components have load-dependent deterioration rates and the syst...
Saved in:
| Published in | Reliability engineering & system safety Vol. 257; p. 110855 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.05.2025
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0951-8320 |
| DOI | 10.1016/j.ress.2025.110855 |
Cover
| Abstract | Making optimal decisions for system size and its components’ replacement and spare parts’ replenishment is crucial for the normal operation of a k-out-of-n system whose components deteriorate over time. This task is challenging when the components have load-dependent deterioration rates and the system is subject to self-announcing failures. In this paper, we develop a Semi-Markov decision process (SMDP) based reinforcement learning (RL) framework for designing a joint size and state-specific maintenance and inventory policy for such systems. The proposed policy outperforms the threshold-based policies in minimizing the system's overall cost rate. First, we identify the form of the state-specific policy that determines the number of components to be replaced and replenishment levels at aperiodic decision epochs. Second, we develop an SMDP-based framework for modeling the state transition process and overall cost rate of the system. The structural properties of the optimal policy are obtained, based on which we narrow the search space. Last, we propose a Dueling Double Deep Q-Network (D3QN) algorithm with invalid action masking to alleviate the dimensionality explosion issue caused by the large search space. A case study of a feedwater pump system illustrates the proposed policy's efficiency. |
|---|---|
| AbstractList | Making optimal decisions for system size and its components’ replacement and spare parts’ replenishment is crucial for the normal operation of a k-out-of-n system whose components deteriorate over time. This task is challenging when the components have load-dependent deterioration rates and the system is subject to self-announcing failures. In this paper, we develop a Semi-Markov decision process (SMDP) based reinforcement learning (RL) framework for designing a joint size and state-specific maintenance and inventory policy for such systems. The proposed policy outperforms the threshold-based policies in minimizing the system's overall cost rate. First, we identify the form of the state-specific policy that determines the number of components to be replaced and replenishment levels at aperiodic decision epochs. Second, we develop an SMDP-based framework for modeling the state transition process and overall cost rate of the system. The structural properties of the optimal policy are obtained, based on which we narrow the search space. Last, we propose a Dueling Double Deep Q-Network (D3QN) algorithm with invalid action masking to alleviate the dimensionality explosion issue caused by the large search space. A case study of a feedwater pump system illustrates the proposed policy's efficiency. |
| ArticleNumber | 110855 |
| Author | Cheng, Yao Zhao, Sangqi Li, Yang Wei, Yian |
| Author_xml | – sequence: 1 givenname: Sangqi orcidid: 0009-0002-7945-0313 surname: Zhao fullname: Zhao, Sangqi organization: Department of Industrial and Manufacturing System Engineering, the University of Hong Kong, 999077, Hong Kong – sequence: 2 givenname: Yian orcidid: 0000-0002-8186-8797 surname: Wei fullname: Wei, Yian organization: Department of Industrial and Manufacturing System Engineering, the University of Hong Kong, 999077, Hong Kong – sequence: 3 givenname: Yao orcidid: 0000-0001-7285-8696 surname: Cheng fullname: Cheng, Yao email: yaocheng@hku.hk organization: Department of Industrial and Manufacturing System Engineering, the University of Hong Kong, 999077, Hong Kong – sequence: 4 givenname: Yang orcidid: 0009-0007-4368-9732 surname: Li fullname: Li, Yang organization: School of Business, Singapore University of Social Science, 599494, Singapore |
| BookMark | eNp9kM1KAzEUhbOoYFt9AVd5ADMmmcn8gJtS_IOCG12HTH404zQpSaYwvoCvbUpdu7r3wD2Xc74VWDjvNAA3BBcEk_puKIKOsaCYsoIQ3DK2AEvcMYLakuJLsIpxwBhXHWuW4GcDYxJJo3jQ0hor4eCtSzDab30L9yLv2gknsxBOQeuO2iUfZnjwo5UzND5AAb-QnxLyBjk4eqFQ_BTBug8Y55j0HsapH7RMMHkY9WiQcM5PTp4ujLDjlPNegQsjxqiv_-YavD8-vG2f0e716WW72SFJGUmoadu6IbQjTHYVFrQWuWVdKlLSnnW4Kvu-pKWsW4ZplkqoplJlLQjtlaGiK9eAnv_K4GMM2vBDsHsRZk4wP-HjAz_h4yd8_Iwvm-7PJp2THa0OPEqrMxRlQ-7Flbf_2X8Bzrp-Kg |
| Cites_doi | 10.1016/j.ress.2014.06.018 10.1016/j.ress.2024.110116 10.1155/2017/3493687 10.1080/0740817X.2015.1125041 10.1016/j.ress.2024.110466 10.1016/j.ress.2020.106994 10.1016/j.ress.2024.110401 10.1016/j.ejor.2023.01.011 10.1016/j.ejor.2011.07.031 10.1016/j.ress.2019.106600 10.1016/j.cie.2022.108094 10.1016/j.cie.2019.01.032 10.1080/0740817X.2011.590442 10.1109/TII.2024.3383492 10.1016/j.ress.2024.110628 10.1016/j.ress.2023.109640 10.1016/j.ejor.2016.07.047 10.1108/13552510810909984 10.1016/j.ress.2021.107544 10.1016/j.ress.2021.108181 10.1080/0740817X.2015.1122253 10.1016/j.ress.2021.108078 10.1016/j.ress.2021.108197 10.1016/j.ress.2022.108541 10.1109/TASE.2024.3516049 10.1109/TR.2023.3273617 10.1016/j.ress.2020.107251 10.1016/j.ress.2023.109709 10.1016/j.ress.2017.03.007 10.1016/j.ejor.2020.08.016 10.1016/S0004-3702(99)00052-1 10.1016/j.ress.2023.109921 10.1016/j.ress.2020.106854 10.1007/s10479-019-03371-3 10.1016/j.ejor.2018.08.029 10.1016/j.ress.2006.09.015 10.1016/j.ress.2024.110199 10.1109/TR.2010.2055917 10.1080/00207543.2014.988892 10.1016/j.ress.2022.108643 10.1016/j.ress.2022.109063 10.1016/j.ress.2023.109628 10.1016/j.ress.2022.108615 10.1016/j.ress.2023.109214 10.1016/j.ress.2022.108321 10.1016/j.ejor.2017.03.019 10.1016/j.ress.2022.108613 10.1016/j.ress.2023.109845 10.1109/TR.2020.2969236 10.1016/j.ejor.2007.12.012 10.1016/j.ress.2023.109780 10.1109/TR.2017.2728625 10.1016/j.ress.2021.107512 10.1016/j.ress.2017.05.034 10.1109/TNNLS.2023.3274290 10.1016/j.ress.2011.07.004 10.1016/j.ress.2021.108006 10.1016/j.ress.2021.107451 |
| ContentType | Journal Article |
| Copyright | 2025 |
| Copyright_xml | – notice: 2025 |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.ress.2025.110855 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| ExternalDocumentID | 10_1016_j_ress_2025_110855 S0951832025000584 |
| GroupedDBID | --K --M .~1 0R~ 123 1B1 1~. 1~5 29P 4.4 457 4G. 5VS 7-5 71M 8P~ 9JN 9JO AABNK AACTN AAEDT AAEDW AAFJI AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXKI AAXUO ABEFU ABFNM ABJNI ABMAC ABMMH ABTAH ABWVN ABXDB ACDAQ ACGFS ACIWK ACNNM ACRLP ACRPL ADBBV ADEZE ADMUD ADNMO ADTZH AEBSH AECPX AEIPS AEKER AENEX AFJKZ AFRAH AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AIEXJ AIKHN AITUG AKRWK ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU AOMHK ASPBG AVARZ AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HVGLF HZ~ IHE J1W JJJVA KOM LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PRBVW Q38 R2- RIG ROL RPZ SDF SDG SES SET SEW SPC SPCBC SSB SSO SST SSZ T5K TN5 WUQ XPP ZMT ZY4 ~G- AATTM AAYWO AAYXX ACLOT ACVFH ADCNI AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP APXCP CITATION EFKBS EFLBG ~HD |
| ID | FETCH-LOGICAL-c251t-7886712915c940a26a02563d132b59043bb323c68502904dad74d36a12bdf2a93 |
| IEDL.DBID | .~1 |
| ISSN | 0951-8320 |
| IngestDate | Wed Oct 01 06:56:24 EDT 2025 Sat Mar 08 15:44:16 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Self-announcing failures Dueling double deep Q-Network (D3QN) algorithm Joint size, Maintenance, and Inventory Policy State-specific policy Load-sharing system |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c251t-7886712915c940a26a02563d132b59043bb323c68502904dad74d36a12bdf2a93 |
| ORCID | 0009-0007-4368-9732 0000-0001-7285-8696 0009-0002-7945-0313 0000-0002-8186-8797 |
| ParticipantIDs | crossref_primary_10_1016_j_ress_2025_110855 elsevier_sciencedirect_doi_10_1016_j_ress_2025_110855 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | May 2025 2025-05-00 |
| PublicationDateYYYYMMDD | 2025-05-01 |
| PublicationDate_xml | – month: 05 year: 2025 text: May 2025 |
| PublicationDecade | 2020 |
| PublicationTitle | Reliability engineering & system safety |
| PublicationYear | 2025 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Fan (bib0046) 2022; 225 Yun, Kim, Yamamoto (bib0036) 2012; 44 Endharta, Ko (bib0039) 2020; 69 Zhang, Zeng (bib0010) 2017; 262 Wang, Hu, Wang, Kong, Zhang (bib0009) 2015; 53 Zheng, Lin, Xia, Liu, Pan (bib0026) 2023; 308 Wang, Zhu (bib0027) 2021; 290 Sutton, Precup, Singh (bib0057) 1999; 112 Zhu, Jaarsveld, Dekker (bib0033) 2020; 193 Pliego Marugán, Pinar-Pérez, García Márquez (bib0045) 2024; 252 Wang, Schaul, Hessel, Hasselt, Lanctot, Freitas (bib0058) 2016 Wang, Qiu, Wang (bib0014) 2021; 205 Wang, Chu, Mao (bib0017) 2009; 194 Yu, Chu, Châtelet, Yalaoui (bib0052) 2007; 92 Hao, Zhu (bib0037) 2024; 20 Hao, Zhu, Kuo (bib0041) 2024; 73 Wang (bib0031) 2012; 216 Cheng, Wei, Liao (bib64) 2022; 218 (bib0056) 2003 Wang, Zhao, Xiang (bib0035) 2022 Vu, Do, Fouladirad, Grall (bib0005) 2020; 198 Wei Y., Cheng Y., Liao H. Fleet Service Reliability Analysis of Self-Service Systems Subject to Failure-Induced Demand Switching and a Two-Dimensional Inspection and Maintenance Policy. IEEE Trans Autom Sci Eng. 2024. Zhou, Li, Lin (bib0042) 2022; 217 Ferreira Neto, Virgínio Cavalcante, Do (bib0047) 2024; 249 Zheng, Su, Wang, Pan (bib0028) 2024; 241 Bjarnason, Taghipour, Banjevic (bib0022) 2014; 131 . Cheng, Liao, Huang (bib60) 2021; 210 Yan, Lei, Wang, Han, Si, Li (bib0015) 2020; 202 Zhang, Zhao, Song, Qiu (bib0016) 2022; 168 Wang (bib0029) 2011; 96 Cai, Yin, Zhang, Chen (bib0019) 2017; 2017 Rausch, Liao (bib0007) 2010; 59 Misra (bib0004) 2008 Wang, Chu, Mao (bib0020) 2008; 14 Bjarnason, Taghipour (bib0021) 2016; 48 Qi, Huang (bib0023) 2024; 247 Zahedi-Hosseini, Scarf, Syntetos (bib0030) 2017; 168 Zheng, Zhao, Hu, Ren (bib0051) 2023; 232 Hamida, Goulet (bib0050) 2023; 235 Liu, Xie, Kuo (bib0003) 2016; 48 Lee, Yeo, Bae (bib0049) 2024; 241 Zhang, Liu, Xiang, Xiahou (bib0040) 2024; 251 Mohammadi, He (bib0044) 2022; 225 Salari, Makis (bib0053) 2020; 287 Li R., Wu J., Li Y., Cheng Y. Periodnet: Noise-robust fault diagnosis method under varying speed conditions. IEEE Trans Neural Netw Learn Syst 2023. Bülbül, Bayındır, Bakal (bib0054) 2019; 129 Liu, Yang, Pei, Liao, Pohl (bib0024) 2019; 273 Oakley, Wilson, Philipson (bib0006) 2022; 222 Zhu, van Jaarsveld, Dekker (bib0034) 2022; 219 Zhang, Liao, Zeng, Shi, Zhao (bib0011) 2021; 209 Zheng, Ye, Wang, Pan (bib0032) 2021; 210 Oszczypała, Konwerski, Ziółkowski, Małachowski (bib0002) 2024; 242 Olde Keizer, Teunter, Veldman (bib0025) 2017; 257 Moghaddass, Zuo (bib0038) 2011 Liu, Wang, Liu (bib0001) 2024; 241 (bib0055) 2003 Wang, Yang, Ma, Peng (bib0008) 2021; 216 Wei, Cheng (bib62) 2025; 255 Nguyen, Do, Grall (bib0018) 2017; 168 Wang, Gao, Li, Liu (bib0013) 2024; 243 Liu, Li, Yao, Hu, Xie (bib0048) 2024; 244 Cheng, Elsayed (bib63) 2017; 66 Yang, Qiu, Zhu, Cui, Chen, Chen (bib0043) 2022; 225 Zhao, Smidts (bib0059) 2022; 224 Zhang, Zeng, Gan (bib0012) 2018; 35 Yang (10.1016/j.ress.2025.110855_bib0043) 2022; 225 Bülbül (10.1016/j.ress.2025.110855_bib0054) 2019; 129 Sutton (10.1016/j.ress.2025.110855_bib0057) 1999; 112 Rausch (10.1016/j.ress.2025.110855_bib0007) 2010; 59 Wang (10.1016/j.ress.2025.110855_bib0008) 2021; 216 10.1016/j.ress.2025.110855_bib65 Wang (10.1016/j.ress.2025.110855_bib0020) 2008; 14 Zheng (10.1016/j.ress.2025.110855_bib0032) 2021; 210 Wang (10.1016/j.ress.2025.110855_bib0058) 2016 Zhao (10.1016/j.ress.2025.110855_bib0059) 2022; 224 10.1016/j.ress.2025.110855_bib61 Cai (10.1016/j.ress.2025.110855_bib0019) 2017; 2017 Fan (10.1016/j.ress.2025.110855_bib0046) 2022; 225 Lee (10.1016/j.ress.2025.110855_bib0049) 2024; 241 (10.1016/j.ress.2025.110855_bib0056) 2003 Bjarnason (10.1016/j.ress.2025.110855_bib0022) 2014; 131 Mohammadi (10.1016/j.ress.2025.110855_bib0044) 2022; 225 Nguyen (10.1016/j.ress.2025.110855_bib0018) 2017; 168 Yan (10.1016/j.ress.2025.110855_bib0015) 2020; 202 Zhu (10.1016/j.ress.2025.110855_bib0033) 2020; 193 Liu (10.1016/j.ress.2025.110855_bib0003) 2016; 48 Wang (10.1016/j.ress.2025.110855_bib0035) 2022 Zheng (10.1016/j.ress.2025.110855_bib0051) 2023; 232 Hamida (10.1016/j.ress.2025.110855_bib0050) 2023; 235 Wei (10.1016/j.ress.2025.110855_bib62) 2025; 255 Hao (10.1016/j.ress.2025.110855_bib0037) 2024; 20 (10.1016/j.ress.2025.110855_bib0055) 2003 Cheng (10.1016/j.ress.2025.110855_bib60) 2021; 210 Wang (10.1016/j.ress.2025.110855_bib0029) 2011; 96 Qi (10.1016/j.ress.2025.110855_bib0023) 2024; 247 Ferreira Neto (10.1016/j.ress.2025.110855_bib0047) 2024; 249 Zhu (10.1016/j.ress.2025.110855_bib0034) 2022; 219 Yun (10.1016/j.ress.2025.110855_bib0036) 2012; 44 Liu (10.1016/j.ress.2025.110855_bib0024) 2019; 273 Oszczypała (10.1016/j.ress.2025.110855_bib0002) 2024; 242 Wang (10.1016/j.ress.2025.110855_bib0031) 2012; 216 Yu (10.1016/j.ress.2025.110855_bib0052) 2007; 92 Misra (10.1016/j.ress.2025.110855_bib0004) 2008 Zhou (10.1016/j.ress.2025.110855_bib0042) 2022; 217 Cheng (10.1016/j.ress.2025.110855_bib64) 2022; 218 Wang (10.1016/j.ress.2025.110855_bib0027) 2021; 290 Zheng (10.1016/j.ress.2025.110855_bib0026) 2023; 308 Pliego Marugán (10.1016/j.ress.2025.110855_bib0045) 2024; 252 Zhang (10.1016/j.ress.2025.110855_bib0016) 2022; 168 Salari (10.1016/j.ress.2025.110855_bib0053) 2020; 287 Oakley (10.1016/j.ress.2025.110855_bib0006) 2022; 222 Liu (10.1016/j.ress.2025.110855_bib0048) 2024; 244 Wang (10.1016/j.ress.2025.110855_bib0014) 2021; 205 Vu (10.1016/j.ress.2025.110855_bib0005) 2020; 198 Wang (10.1016/j.ress.2025.110855_bib0009) 2015; 53 Zhang (10.1016/j.ress.2025.110855_bib0012) 2018; 35 Endharta (10.1016/j.ress.2025.110855_bib0039) 2020; 69 Zahedi-Hosseini (10.1016/j.ress.2025.110855_bib0030) 2017; 168 Liu (10.1016/j.ress.2025.110855_bib0001) 2024; 241 Wang (10.1016/j.ress.2025.110855_bib0017) 2009; 194 Olde Keizer (10.1016/j.ress.2025.110855_bib0025) 2017; 257 Moghaddass (10.1016/j.ress.2025.110855_bib0038) 2011 Zhang (10.1016/j.ress.2025.110855_bib0010) 2017; 262 Zhang (10.1016/j.ress.2025.110855_bib0011) 2021; 209 Hao (10.1016/j.ress.2025.110855_bib0041) 2024; 73 Bjarnason (10.1016/j.ress.2025.110855_bib0021) 2016; 48 Zheng (10.1016/j.ress.2025.110855_bib0028) 2024; 241 Zhang (10.1016/j.ress.2025.110855_bib0040) 2024; 251 Wang (10.1016/j.ress.2025.110855_bib0013) 2024; 243 Cheng (10.1016/j.ress.2025.110855_bib63) 2017; 66 |
| References_xml | – volume: 168 year: 2022 ident: bib0016 article-title: Joint optimization of condition-based maintenance and spares inventory for a series–parallel system with two failure modes publication-title: Comput Ind Eng – volume: 290 start-page: 514 year: 2021 end-page: 529 ident: bib0027 article-title: Joint optimization of condition-based maintenance and inventory control for a k-out-of-n:f system of multi-state degrading components publication-title: Eur J Oper Res – volume: 216 start-page: 127 year: 2012 end-page: 139 ident: bib0031 article-title: A stochastic model for joint spare parts inventory and planned maintenance optimisation publication-title: Eur J Oper Res – volume: 224 year: 2022 ident: bib0059 article-title: Reinforcement learning for adaptive maintenance policy optimization under imperfect knowledge of the system degradation model and partial observability of system states publication-title: Reliab Eng Syst Saf – volume: 242 year: 2024 ident: bib0002 article-title: Reliability analysis and redundancy optimization of k-out-of-n systems with random variable k using continuous time Markov chain and Monte Carlo simulation publication-title: Reliab Eng Syst Saf – volume: 308 start-page: 1220 year: 2023 end-page: 1232 ident: bib0026 article-title: Joint condition-based maintenance and spare provisioning policy for a k-out-of-n system with failures during inspection intervals publication-title: Eur J Oper Res – volume: 2017 year: 2017 ident: bib0019 article-title: Joint optimization of preventive maintenance and spare parts inventory with appointment policy publication-title: Math Probl Eng – volume: 14 start-page: 387 year: 2008 end-page: 401 ident: bib0020 article-title: An optimum condition-based replacement and spare provisioning policy based on Markov chains publication-title: J Qual Maint Eng – volume: 257 start-page: 209 year: 2017 end-page: 222 ident: bib0025 article-title: Joint condition-based maintenance and inventory optimization for systems with multiple components publication-title: Eur J Oper Res – volume: 112 start-page: 181 year: 1999 end-page: 211 ident: bib0057 article-title: Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning publication-title: Artif Intell – volume: 59 start-page: 507 year: 2010 end-page: 516 ident: bib0007 article-title: Joint production and spare part inventory control strategy driven by condition based maintenance publication-title: IEEE Trans Reliab – volume: 193 year: 2020 ident: bib0033 article-title: Spare parts inventory control based on maintenance planning publication-title: Reliab Eng Syst Saf – volume: 131 start-page: 203 year: 2014 end-page: 215 ident: bib0022 article-title: Joint optimal inspection and inventory for a k-out-of-n system publication-title: Reliab Eng Syst Saf – volume: 66 start-page: 997 year: 2017 end-page: 1011 ident: bib63 article-title: Optimal sequential ALT plans for systems with mixture of one-shot units publication-title: IEEE Trans Reliab – start-page: 279 year: 2003 end-page: 305 ident: bib0056 article-title: Semi-Markov decision processes publication-title: A first course in stochastic models – reference: Li R., Wu J., Li Y., Cheng Y. Periodnet: Noise-robust fault diagnosis method under varying speed conditions. IEEE Trans Neural Netw Learn Syst 2023. – volume: 216 year: 2021 ident: bib0008 article-title: Joint optimization of multi-window maintenance and spare part provisioning policies for production systems publication-title: Reliab Eng Syst Saf – volume: 53 start-page: 4511 year: 2015 end-page: 4527 ident: bib0009 article-title: A prognostics-based spare part ordering and system replacement policy for a deteriorating system subjected to a random lead time publication-title: Int J Prod Res – volume: 48 start-page: 638 year: 2016 end-page: 650 ident: bib0021 article-title: Periodic inspection frequency and inventory policies for a k-out-of-n system publication-title: IIE Transactions – volume: 247 year: 2024 ident: bib0023 article-title: Joint optimization of maintenance and spares inventory policy for a series-parallel system considering dependent failure processes publication-title: Reliab Eng Syst Saf – start-page: 1 year: 2011 end-page: 6 ident: bib0038 article-title: Optimal design of a repairable k-out-of-n system considering maintenance publication-title: , 24-27 Jan. 2011 – volume: 198 year: 2020 ident: bib0005 article-title: Dynamic opportunistic maintenance planning for multi-component redundant systems with various types of opportunities publication-title: Reliab Eng Syst Saf – volume: 168 start-page: 249 year: 2017 end-page: 261 ident: bib0018 article-title: Joint predictive maintenance and inventory strategy for multi-component systems using Birnbaum's structural importance publication-title: Reliab Eng Syst Saf – volume: 194 start-page: 184 year: 2009 end-page: 205 ident: bib0017 article-title: A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure publication-title: Eur J Oper Res – volume: 232 year: 2023 ident: bib0051 article-title: A repair-replacement policy for a system subject to missions of random types and random durations publication-title: Reliab Eng Syst Saf – volume: 209 year: 2021 ident: bib0011 article-title: Optimal condition-based opportunistic maintenance and spare parts provisioning for a two-unit system using a state space partitioning approach publication-title: Reliab Eng Syst Saf – volume: 225 year: 2022 ident: bib0044 article-title: A deep reinforcement learning approach for rail renewal and maintenance planning publication-title: Reliab Eng Syst Saf – start-page: 233 year: 2003 end-page: 277 ident: bib0055 article-title: Discrete-time Markov decision processes publication-title: A first course in stochastic models – volume: 96 start-page: 1535 year: 2011 end-page: 1541 ident: bib0029 article-title: A joint spare part and maintenance inspection optimisation model using the delay-time concept publication-title: Reliab Eng Syst Saf – volume: 241 year: 2024 ident: bib0001 article-title: A condition-based maintenance policy with non-periodic inspection for k-out-of-n: g systems publication-title: Reliab Eng Syst Saf – reference: Wei Y., Cheng Y., Liao H. Fleet Service Reliability Analysis of Self-Service Systems Subject to Failure-Induced Demand Switching and a Two-Dimensional Inspection and Maintenance Policy. IEEE Trans Autom Sci Eng. 2024. – volume: 210 start-page: 107544 year: 2021 ident: bib60 article-title: Optimal degradation-based hybrid double-stage acceptance sampling plan for a heterogeneous product publication-title: Reliab Eng Syst Saf – volume: 168 start-page: 306 year: 2017 end-page: 316 ident: bib0030 article-title: Joint optimisation of inspection maintenance and spare parts provisioning: a comparative study of inventory policies using simulation and survey data publication-title: Reliab Eng Syst Saf – volume: 219 year: 2022 ident: bib0034 article-title: Critical project planning and spare parts inventory management in shutdown maintenance publication-title: Reliab Eng Syst Saf – volume: 241 year: 2024 ident: bib0049 article-title: A stochastic track maintenance scheduling model based on deep reinforcement learning approaches publication-title: Reliab Eng Syst Saf – volume: 262 start-page: 479 year: 2017 end-page: 498 ident: bib0010 article-title: Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems publication-title: Eur J Oper Res – volume: 222 year: 2022 ident: bib0006 article-title: A condition-based maintenance policy for continuously monitored multi-component systems with economic and stochastic dependence publication-title: Reliab Eng Syst Saf – volume: 202 year: 2020 ident: bib0015 article-title: Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions publication-title: Reliab Eng Syst Saf – volume: 225 year: 2022 ident: bib0043 article-title: Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning publication-title: Reliab Eng Syst Saf – volume: 273 start-page: 561 year: 2019 end-page: 574 ident: bib0024 article-title: Replacement and inventory control for a multi-customer product service system with decreasing replacement costs publication-title: Eur J Oper Res – volume: 129 start-page: 239 year: 2019 end-page: 250 ident: bib0054 article-title: Exact and heuristic approaches for joint maintenance and spare parts planning publication-title: Comput Ind Eng – volume: 243 year: 2024 ident: bib0013 article-title: Joint optimization of performance-based contracting, condition-based maintenance and spare parts inventory for degrading production systems publication-title: Reliab Eng Syst Saf – volume: 48 start-page: 699 year: 2016 end-page: 709 ident: bib0003 article-title: Reliability modeling and preventive maintenance of load-sharing systemswith degrading components publication-title: IIE Trans – start-page: 1 year: 2022 end-page: 25 ident: bib0035 article-title: Optimum design and replacement policies for k-out-of-n systems with deviation time and cost publication-title: Ann Oper Res – volume: 69 start-page: 1465 year: 2020 end-page: 1479 ident: bib0039 article-title: Economic design and maintenance of a circular k-out-of-n: g balanced system with load-sharing units publication-title: IEEE Trans Reliab – volume: 92 start-page: 1627 year: 2007 end-page: 1634 ident: bib0052 article-title: Reliability optimization of a redundant system with failure dependencies publication-title: Reliab Eng Syst Saf – volume: 251 year: 2024 ident: bib0040 article-title: Reinforcement learning in reliability and maintenance optimization: a tutorial publication-title: Reliab Eng Syst Saf – start-page: 1995 year: 2016 end-page: 2003 ident: bib0058 article-title: Dueling network architectures for deep reinforcement learning publication-title: International conference on machine learning – volume: 255 start-page: 110628 year: 2025 ident: bib62 article-title: An optimal two-dimensional maintenance policy for self-service systems with multi-task demands and subject to competing sudden and deterioration-induced failures publication-title: Reliab Eng Syst Saf – volume: 249 year: 2024 ident: bib0047 article-title: Deep reinforcement learning for maintenance optimization of a scrap-based steel production line publication-title: Reliab Eng Syst Saf – volume: 44 start-page: 55 year: 2012 end-page: 67 ident: bib0036 article-title: Economic design of a load-sharing consecutive k-out-of-n:f system publication-title: IIE Trans – volume: 287 start-page: 351 year: 2020 end-page: 377 ident: bib0053 article-title: Joint maintenance and just-in-time spare parts provisioning policy for a multi-unit production system publication-title: Ann Oper Res – volume: 210 year: 2021 ident: bib0032 article-title: Joint optimization of condition-based maintenance and spare parts orders for multi-unit systems with dual sourcing publication-title: Reliab Eng Syst Saf – volume: 241 year: 2024 ident: bib0028 article-title: Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm publication-title: Reliab Eng Syst Saf – volume: 205 year: 2021 ident: bib0014 article-title: Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system publication-title: Reliab Eng Syst Saf – volume: 20 start-page: 9308 year: 2024 end-page: 9319 ident: bib0037 article-title: Redundancy design and preventive maintenance for a load-sharing multiasset system considering uncertain environmental conditions publication-title: IEEE Trans Industr Inform – volume: 235 year: 2023 ident: bib0050 article-title: Hierarchical reinforcement learning for transportation infrastructure maintenance planning publication-title: Reliab Eng Syst Saf – volume: 73 start-page: 131 year: 2024 end-page: 141 ident: bib0041 article-title: Optimization of condition-based maintenance with multiple times of component reallocation using markov decision process publication-title: IEEE Trans Reliab – volume: 252 year: 2024 ident: bib0045 article-title: A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs publication-title: Reliab Eng Syst Saf – year: 2008 ident: bib0004 article-title: Handbook of performability engineering – volume: 244 year: 2024 ident: bib0048 article-title: Maintenance optimization of multi-unit balanced systems using deep reinforcement learning publication-title: Reliab Eng Syst Saf – volume: 218 start-page: 108181 year: 2022 ident: bib64 article-title: Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes publication-title: Reliab Eng Syst Saf – reference: . – volume: 35 start-page: 394 year: 2018 end-page: 420 ident: bib0012 article-title: Joint optimization of condition-based maintenance and spare part inventory for two-component system publication-title: J Ind Product Eng – volume: 225 year: 2022 ident: bib0046 article-title: A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning publication-title: Reliab Eng Syst Saf – volume: 217 year: 2022 ident: bib0042 article-title: Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning publication-title: Reliab Eng Syst Saf – volume: 131 start-page: 203 year: 2014 ident: 10.1016/j.ress.2025.110855_bib0022 article-title: Joint optimal inspection and inventory for a k-out-of-n system publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2014.06.018 – volume: 247 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0023 article-title: Joint optimization of maintenance and spares inventory policy for a series-parallel system considering dependent failure processes publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2024.110116 – volume: 2017 year: 2017 ident: 10.1016/j.ress.2025.110855_bib0019 article-title: Joint optimization of preventive maintenance and spare parts inventory with appointment policy publication-title: Math Probl Eng doi: 10.1155/2017/3493687 – volume: 48 start-page: 699 issue: 8 year: 2016 ident: 10.1016/j.ress.2025.110855_bib0003 article-title: Reliability modeling and preventive maintenance of load-sharing systemswith degrading components publication-title: IIE Trans doi: 10.1080/0740817X.2015.1125041 – volume: 252 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0045 article-title: A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2024.110466 – volume: 202 year: 2020 ident: 10.1016/j.ress.2025.110855_bib0015 article-title: Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2020.106994 – volume: 251 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0040 article-title: Reinforcement learning in reliability and maintenance optimization: a tutorial publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2024.110401 – volume: 308 start-page: 1220 issue: 3 year: 2023 ident: 10.1016/j.ress.2025.110855_bib0026 article-title: Joint condition-based maintenance and spare provisioning policy for a k-out-of-n system with failures during inspection intervals publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2023.01.011 – year: 2008 ident: 10.1016/j.ress.2025.110855_bib0004 – volume: 216 start-page: 127 issue: 1 year: 2012 ident: 10.1016/j.ress.2025.110855_bib0031 article-title: A stochastic model for joint spare parts inventory and planned maintenance optimisation publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2011.07.031 – volume: 193 year: 2020 ident: 10.1016/j.ress.2025.110855_bib0033 article-title: Spare parts inventory control based on maintenance planning publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2019.106600 – volume: 168 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0016 article-title: Joint optimization of condition-based maintenance and spares inventory for a series–parallel system with two failure modes publication-title: Comput Ind Eng doi: 10.1016/j.cie.2022.108094 – volume: 129 start-page: 239 year: 2019 ident: 10.1016/j.ress.2025.110855_bib0054 article-title: Exact and heuristic approaches for joint maintenance and spare parts planning publication-title: Comput Ind Eng doi: 10.1016/j.cie.2019.01.032 – volume: 44 start-page: 55 issue: 1 year: 2012 ident: 10.1016/j.ress.2025.110855_bib0036 article-title: Economic design of a load-sharing consecutive k-out-of-n:f system publication-title: IIE Trans doi: 10.1080/0740817X.2011.590442 – volume: 20 start-page: 9308 issue: 7 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0037 article-title: Redundancy design and preventive maintenance for a load-sharing multiasset system considering uncertain environmental conditions publication-title: IEEE Trans Industr Inform doi: 10.1109/TII.2024.3383492 – volume: 255 start-page: 110628 year: 2025 ident: 10.1016/j.ress.2025.110855_bib62 article-title: An optimal two-dimensional maintenance policy for self-service systems with multi-task demands and subject to competing sudden and deterioration-induced failures publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2024.110628 – volume: 241 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0001 article-title: A condition-based maintenance policy with non-periodic inspection for k-out-of-n: g systems publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2023.109640 – volume: 257 start-page: 209 issue: 1 year: 2017 ident: 10.1016/j.ress.2025.110855_bib0025 article-title: Joint condition-based maintenance and inventory optimization for systems with multiple components publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2016.07.047 – volume: 14 start-page: 387 issue: 4 year: 2008 ident: 10.1016/j.ress.2025.110855_bib0020 article-title: An optimum condition-based replacement and spare provisioning policy based on Markov chains publication-title: J Qual Maint Eng doi: 10.1108/13552510810909984 – volume: 210 start-page: 107544 year: 2021 ident: 10.1016/j.ress.2025.110855_bib60 article-title: Optimal degradation-based hybrid double-stage acceptance sampling plan for a heterogeneous product publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.107544 – volume: 218 start-page: 108181 year: 2022 ident: 10.1016/j.ress.2025.110855_bib64 article-title: Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.108181 – volume: 48 start-page: 638 issue: 7 year: 2016 ident: 10.1016/j.ress.2025.110855_bib0021 article-title: Periodic inspection frequency and inventory policies for a k-out-of-n system publication-title: IIE Transactions doi: 10.1080/0740817X.2015.1122253 – volume: 217 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0042 article-title: Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.108078 – volume: 219 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0034 article-title: Critical project planning and spare parts inventory management in shutdown maintenance publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.108197 – start-page: 1995 year: 2016 ident: 10.1016/j.ress.2025.110855_bib0058 article-title: Dueling network architectures for deep reinforcement learning – volume: 224 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0059 article-title: Reinforcement learning for adaptive maintenance policy optimization under imperfect knowledge of the system degradation model and partial observability of system states publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.108541 – ident: 10.1016/j.ress.2025.110855_bib65 doi: 10.1109/TASE.2024.3516049 – volume: 73 start-page: 131 issue: 1 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0041 article-title: Optimization of condition-based maintenance with multiple times of component reallocation using markov decision process publication-title: IEEE Trans Reliab doi: 10.1109/TR.2023.3273617 – volume: 205 year: 2021 ident: 10.1016/j.ress.2025.110855_bib0014 article-title: Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2020.107251 – start-page: 233 year: 2003 ident: 10.1016/j.ress.2025.110855_bib0055 article-title: Discrete-time Markov decision processes – volume: 241 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0049 article-title: A stochastic track maintenance scheduling model based on deep reinforcement learning approaches publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2023.109709 – start-page: 279 year: 2003 ident: 10.1016/j.ress.2025.110855_bib0056 article-title: Semi-Markov decision processes – volume: 168 start-page: 306 year: 2017 ident: 10.1016/j.ress.2025.110855_bib0030 article-title: Joint optimisation of inspection maintenance and spare parts provisioning: a comparative study of inventory policies using simulation and survey data publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2017.03.007 – volume: 290 start-page: 514 issue: 2 year: 2021 ident: 10.1016/j.ress.2025.110855_bib0027 article-title: Joint optimization of condition-based maintenance and inventory control for a k-out-of-n:f system of multi-state degrading components publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2020.08.016 – volume: 112 start-page: 181 issue: 1 year: 1999 ident: 10.1016/j.ress.2025.110855_bib0057 article-title: Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning publication-title: Artif Intell doi: 10.1016/S0004-3702(99)00052-1 – volume: 244 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0048 article-title: Maintenance optimization of multi-unit balanced systems using deep reinforcement learning publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2023.109921 – volume: 198 year: 2020 ident: 10.1016/j.ress.2025.110855_bib0005 article-title: Dynamic opportunistic maintenance planning for multi-component redundant systems with various types of opportunities publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2020.106854 – volume: 287 start-page: 351 issue: 1 year: 2020 ident: 10.1016/j.ress.2025.110855_bib0053 article-title: Joint maintenance and just-in-time spare parts provisioning policy for a multi-unit production system publication-title: Ann Oper Res doi: 10.1007/s10479-019-03371-3 – volume: 273 start-page: 561 issue: 2 year: 2019 ident: 10.1016/j.ress.2025.110855_bib0024 article-title: Replacement and inventory control for a multi-customer product service system with decreasing replacement costs publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2018.08.029 – volume: 92 start-page: 1627 issue: 12 year: 2007 ident: 10.1016/j.ress.2025.110855_bib0052 article-title: Reliability optimization of a redundant system with failure dependencies publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2006.09.015 – volume: 249 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0047 article-title: Deep reinforcement learning for maintenance optimization of a scrap-based steel production line publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2024.110199 – volume: 59 start-page: 507 issue: 3 year: 2010 ident: 10.1016/j.ress.2025.110855_bib0007 article-title: Joint production and spare part inventory control strategy driven by condition based maintenance publication-title: IEEE Trans Reliab doi: 10.1109/TR.2010.2055917 – volume: 53 start-page: 4511 issue: 15 year: 2015 ident: 10.1016/j.ress.2025.110855_bib0009 article-title: A prognostics-based spare part ordering and system replacement policy for a deteriorating system subjected to a random lead time publication-title: Int J Prod Res doi: 10.1080/00207543.2014.988892 – volume: 225 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0043 article-title: Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.108643 – volume: 232 year: 2023 ident: 10.1016/j.ress.2025.110855_bib0051 article-title: A repair-replacement policy for a system subject to missions of random types and random durations publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.109063 – volume: 241 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0028 article-title: Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2023.109628 – volume: 225 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0044 article-title: A deep reinforcement learning approach for rail renewal and maintenance planning publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.108615 – volume: 235 year: 2023 ident: 10.1016/j.ress.2025.110855_bib0050 article-title: Hierarchical reinforcement learning for transportation infrastructure maintenance planning publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2023.109214 – volume: 222 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0006 article-title: A condition-based maintenance policy for continuously monitored multi-component systems with economic and stochastic dependence publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.108321 – volume: 262 start-page: 479 issue: 2 year: 2017 ident: 10.1016/j.ress.2025.110855_bib0010 article-title: Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2017.03.019 – volume: 225 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0046 article-title: A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.108613 – volume: 243 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0013 article-title: Joint optimization of performance-based contracting, condition-based maintenance and spare parts inventory for degrading production systems publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2023.109845 – volume: 69 start-page: 1465 issue: 4 year: 2020 ident: 10.1016/j.ress.2025.110855_bib0039 article-title: Economic design and maintenance of a circular k-out-of-n: g balanced system with load-sharing units publication-title: IEEE Trans Reliab doi: 10.1109/TR.2020.2969236 – volume: 194 start-page: 184 issue: 1 year: 2009 ident: 10.1016/j.ress.2025.110855_bib0017 article-title: A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2007.12.012 – volume: 242 year: 2024 ident: 10.1016/j.ress.2025.110855_bib0002 article-title: Reliability analysis and redundancy optimization of k-out-of-n systems with random variable k using continuous time Markov chain and Monte Carlo simulation publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2023.109780 – volume: 66 start-page: 997 issue: 4 year: 2017 ident: 10.1016/j.ress.2025.110855_bib63 article-title: Optimal sequential ALT plans for systems with mixture of one-shot units publication-title: IEEE Trans Reliab doi: 10.1109/TR.2017.2728625 – volume: 210 year: 2021 ident: 10.1016/j.ress.2025.110855_bib0032 article-title: Joint optimization of condition-based maintenance and spare parts orders for multi-unit systems with dual sourcing publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.107512 – start-page: 1 year: 2022 ident: 10.1016/j.ress.2025.110855_bib0035 article-title: Optimum design and replacement policies for k-out-of-n systems with deviation time and cost publication-title: Ann Oper Res – volume: 168 start-page: 249 year: 2017 ident: 10.1016/j.ress.2025.110855_bib0018 article-title: Joint predictive maintenance and inventory strategy for multi-component systems using Birnbaum's structural importance publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2017.05.034 – ident: 10.1016/j.ress.2025.110855_bib61 doi: 10.1109/TNNLS.2023.3274290 – volume: 96 start-page: 1535 issue: 11 year: 2011 ident: 10.1016/j.ress.2025.110855_bib0029 article-title: A joint spare part and maintenance inspection optimisation model using the delay-time concept publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2011.07.004 – volume: 216 year: 2021 ident: 10.1016/j.ress.2025.110855_bib0008 article-title: Joint optimization of multi-window maintenance and spare part provisioning policies for production systems publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.108006 – volume: 209 year: 2021 ident: 10.1016/j.ress.2025.110855_bib0011 article-title: Optimal condition-based opportunistic maintenance and spare parts provisioning for a two-unit system using a state space partitioning approach publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.107451 – volume: 35 start-page: 394 issue: 6 year: 2018 ident: 10.1016/j.ress.2025.110855_bib0012 article-title: Joint optimization of condition-based maintenance and spare part inventory for two-component system publication-title: J Ind Product Eng – start-page: 1 year: 2011 ident: 10.1016/j.ress.2025.110855_bib0038 article-title: Optimal design of a repairable k-out-of-n system considering maintenance |
| SSID | ssj0004957 |
| Score | 2.4776332 |
| Snippet | Making optimal decisions for system size and its components’ replacement and spare parts’ replenishment is crucial for the normal operation of a k-out-of-n... |
| SourceID | crossref elsevier |
| SourceType | Index Database Publisher |
| StartPage | 110855 |
| SubjectTerms | Dueling double deep Q-Network (D3QN) algorithm Joint size, Maintenance, and Inventory Policy Load-sharing system Self-announcing failures State-specific policy |
| Title | A state-specific joint size, maintenance, and inventory policy for a k-out-of-n load-sharing system subject to self-announcing failures |
| URI | https://dx.doi.org/10.1016/j.ress.2025.110855 |
| Volume | 257 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Baden-Württemberg Complete Freedom Collection (Elsevier) issn: 0951-8320 databaseCode: GBLVA dateStart: 20110101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0004957 providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Complete Freedom Collection [SCCMFC] issn: 0951-8320 databaseCode: ACRLP dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0004957 providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection issn: 0951-8320 databaseCode: .~1 dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0004957 providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection issn: 0951-8320 databaseCode: AIKHN dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0004957 providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals issn: 0951-8320 databaseCode: AKRWK dateStart: 19880101 customDbUrl: isFulltext: true mediaType: online dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0004957 providerName: Library Specific Holdings |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV27TsMwFLUqWGBAPEV5VB7YwG3qRx5jVYEKiC5QqVvkxLZIKUnVpAMMrPw2vnmIIiEGRkexFdnWvedG55yL0IWxMNT0uSY-9znhTFESaHuXI0EdDd1upQHt8MPYHU343VRMW2jYaGGAVlnH_iqml9G6ftKrd7O3SJLeI4ADH9p_g6e_zaOgYOcedDHofnzTPGwB4DXt5OHtWjhTcbygou3CCiUbHuR-vyWntYRzs4t2aqSIB9XH7KGWTvfR9pp_4AH6HOBSEERALwmcHzzLkrTAefKur_CrBC8IMNSwA5kqnJQE82z5hhelGzC2gBVL_EKyVUEyQ1I8z6Qi-bOE5XFl8ozzVQT_anCR4VzPDZFpaiNEDG8YmQCrPT9Ek5vrp-GI1J0VSGzxTAEUQtezmb4v4oA7kroSoA9TtjSNROBwFkWMstj1hUPtUEnlccVc2aeRMlQG7AhtpFmqjxGOXa59oZWkTPDIyMDRLDZKU2YLI-2JNrpstjRcVAYaYcMsm4VwACEcQFgdQBuJZtfDH9cgtBH-j3kn_5x3irZgVDEYz9BGsVzpc4syiqhTXqMO2hzc3o_GX4RV0fE |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV07T8MwELagDMCAeIo3HtjAbepHHmNVgcqjXQCJLXJiW6RAUjXpAAMrfxtfHqJIiIHRiW1FZ-vuu-i77xA6NRaGmi7XxOc-J5wpSgJt73IkqKOh2600UDs8HLmDB379KB4XUL-phQFaZe37K59eeuv6Sae2ZmeSJJ07AAc-tP8GTX8bRxfREhfUgwys_fHN87AZgNf0k4fpdeVMRfKClLYNW5R0eKj3-y06zUWcy3W0VkNF3Ku-ZgMt6HQTrc4JCG6hzx4uK4IIFEwC6QePsyQtcJ6863P8KkEMAhQ17ECmCiclwzybvuFJKQeMLWLFEj-TbFaQzJAUv2RSkfxJwva4UnnG-SyCnzW4yHCuXwyRaWpdRAwzjEyA1p5vo4fLi_v-gNStFUhsAU0BHELXs6G-K-KAO5K6ErAPUzY3jUTgcBZFjLLY9YVD7VBJ5XHFXNmlkTJUBmwHtdIs1bsIxy7XvtBKUiZ4ZGTgaBYbpSmzmZH2xB46a0waTioFjbChlo1DOIAQDiCsDmAPicbq4Y97EFoX_8e6_X-uO0HLg_vhbXh7Nbo5QCvwpqIzHqJWMZ3pIws5iui4vFJfi2fThg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+state-specific+joint+size%2C+maintenance%2C+and+inventory+policy+for+a+k-out-of-n+load-sharing+system+subject+to+self-announcing+failures&rft.jtitle=Reliability+engineering+%26+system+safety&rft.au=Zhao%2C+Sangqi&rft.au=Wei%2C+Yian&rft.au=Cheng%2C+Yao&rft.au=Li%2C+Yang&rft.date=2025-05-01&rft.issn=0951-8320&rft.volume=257&rft.spage=110855&rft_id=info:doi/10.1016%2Fj.ress.2025.110855&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_ress_2025_110855 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0951-8320&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0951-8320&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0951-8320&client=summon |