{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T06:55:33Z","timestamp":1781592933240,"version":"3.54.5"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.engappai.2026.115277","type":"journal-article","created":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T03:00:03Z","timestamp":1780369203000},"page":"115277","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P1","title":["Resilient scheduling method combining preventive maintenance for distributed heterogeneous flexible job shop problems with machine failures and rescheduling"],"prefix":"10.1016","volume":"179","author":[{"given":"Rui","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enzhuang","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5796-3479","authenticated-orcid":false,"given":"Xixing","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanqing","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanming","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongtao","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yibing","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.engappai.2026.115277_bib1","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101643","article-title":"A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based preventive maintenance and dynamic repairman assignment","volume":"89","author":"An","year":"2024","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.engappai.2026.115277_bib2","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/BF02023073","article-title":"Routing and scheduling in a flexible job shop by tabu search","volume":"41","author":"Brandimarte","year":"1993","journal-title":"Ann. Oper. Res."},{"key":"10.1016\/j.engappai.2026.115277_bib3","series-title":"Directorate General for Research and Innovation (DG RTD) of the European","article-title":"Industry 5.0: towards a sustainable, human-centric and resilient European industry","author":"Breque","year":"2021"},{"key":"10.1016\/j.engappai.2026.115277_bib4","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.112697","article-title":"A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines","volume":"170","author":"Deng","year":"2025","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.engappai.2026.115277_bib5","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jmsy.2023.01.004","article-title":"Flexible job shop scheduling problem under industry 5.0: a survey on human reintegration, environmental consideration and resilience improvement","volume":"67","author":"Destouet","year":"2023","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.engappai.2026.115277_bib6","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1016\/j.jmsy.2022.08.010","article-title":"Time-based resilience metric for smart manufacturing systems and optimization method with dual-strategy recovery","volume":"65","author":"Feng","year":"2022","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.engappai.2026.115277_bib7","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.101938","article-title":"Solving machine overload for re-scheduling of dynamic flexible job shop by adaptive tripartite game theory-based genetic algorithm","volume":"96","author":"Feng","year":"2025","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.engappai.2026.115277_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2025.107243","article-title":"Dynamic flexible job shop scheduling based on multi-dimensional space collaborative guidance evolution","volume":"184","author":"Guo","year":"2025","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.engappai.2026.115277_bib9","article-title":"Logistics, Multi-objective optimisation for permutation flow shop rescheduling problems with mixed blocking constraints","volume":"12","author":"Holguin Jimenez","year":"2025","journal-title":"Int. J. Syst. Sci.: Operations Logistics"},{"key":"10.1016\/j.engappai.2026.115277_bib10","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/BF01719451","article-title":"Tabu search for the job-shop scheduling problem with multi-purpose machines","volume":"15","author":"Hurink","year":"1994","journal-title":"Operations. Res. Spektrum"},{"key":"10.1016\/j.engappai.2026.115277_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107211","article-title":"An effective MCTS-based algorithm for minimizing makespan in dynamic flexible job shop scheduling problem","volume":"155","author":"Li","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.engappai.2026.115277_bib12","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1016\/j.jmsy.2025.04.001","article-title":"A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem","volume":"80","author":"Li","year":"2025","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.engappai.2026.115277_bib13","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2025.103085","article-title":"Integrated dynamic scheduling method for hybrid flow shop with machine preventive maintenance based on cooperative multi-agent deep reinforcement learning","volume":"97","author":"Liu","year":"2026","journal-title":"Robot. Comput. Integrated Manuf."},{"key":"10.1016\/j.engappai.2026.115277_bib14","doi-asserted-by":"crossref","first-page":"2028","DOI":"10.1080\/00207543.2020.1797207","article-title":"Production planning and scheduling in multi-factory production networks: a systematic literature review","volume":"59","author":"Lohmer","year":"2021","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.engappai.2026.115277_bib15","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.jmsy.2020.06.010","article-title":"Smart manufacturing process and system automation \u2013 a critical review of the standards and envisioned scenarios","volume":"56","author":"Lu","year":"2020","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.engappai.2026.115277_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2025.111361","article-title":"Integrated optimization of dynamic flexible job shop scheduling with AGV breakdowns and multi-site equipment maintenance on the demand side","volume":"208","author":"Lu","year":"2025","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.engappai.2026.115277_bib17","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113721","article-title":"An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers","volume":"160","author":"Luo","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.engappai.2026.115277_bib18","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/j.eswa.2018.11.007","article-title":"Heuristics for scheduling jobs in a permutation flow shop to minimize total earliness and tardiness with unforced idle time allowed","volume":"119","author":"Schaller","year":"2019","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.engappai.2026.115277_bib19","doi-asserted-by":"crossref","first-page":"5488","DOI":"10.1080\/00207543.2021.1962017","article-title":"Scheduling in a no-wait flow shop to minimise total earliness and tardiness with additional idle time allowed","volume":"60","author":"Schaller","year":"2021","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.engappai.2026.115277_bib20","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.129469","article-title":"Integrated modeling and scheduling for stochastic flexible job shops considering machine degradation and production dynamics","volume":"297","author":"Shangguan","year":"2026","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.engappai.2026.115277_bib21","first-page":"1","article-title":"Deep reinforcement learning with double Q-Learning","volume":"30","author":"Van Hasselt","year":"2016","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"10.1016\/j.engappai.2026.115277_bib22","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2024.109163","article-title":"Joint optimization of flexible job shop scheduling and preventive maintenance under high-frequency production switching","volume":"269","author":"Wang","year":"2024","journal-title":"Int. J. Prod. Econ."},{"key":"10.1016\/j.engappai.2026.115277_bib23","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2024.102835","article-title":"A resilient scheduling framework for multi-robot multi-station welding flow shop scheduling against robot failures","volume":"91","author":"Wang","year":"2025","journal-title":"Robot. Comput. Integrated Manuf."},{"key":"10.1016\/j.engappai.2026.115277_bib24","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/TEVC.2005.851275","article-title":"A faster algorithm for calculating hypervolume","volume":"10","author":"While","year":"2006","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.engappai.2026.115277_bib25","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.101910","article-title":"A cooperative discrete artificial bee colony algorithm with Q-learning for solving the distributed permutation flowshop group scheduling problem with preventive maintenance","volume":"95","author":"Wu","year":"2025","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.engappai.2026.115277_bib26","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128280","article-title":"Dynamic scheduling for flexible job shop under machine breakdown using improved Double Deep Q-network","volume":"288","author":"Wu","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.engappai.2026.115277_bib27","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1016\/j.jmsy.2021.10.006","article-title":"Industry 4.0 and industry 5.0\u2014Inception, conception and perception","volume":"61","author":"Xu","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.engappai.2026.115277_bib28","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.130636","article-title":"Graph neural architecture for dynamic hybrid flowshop: addressing stochastic events and uncertain processing sequences","volume":"648","author":"Xu","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.engappai.2026.115277_bib29","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113230","article-title":"Self-learning brainstorm optimization for synchronization of operations and maintenance toward dual resource-constrained flexible job shops","volume":"177","author":"Yan","year":"2025","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.engappai.2026.115277_bib30","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.1007\/s10845-017-1350-2","article-title":"Review of job shop scheduling research and its new perspectives under industry 4.0","volume":"30","author":"Zhang","year":"2017","journal-title":"J. Intell. Manuf."},{"key":"10.1016\/j.engappai.2026.115277_bib31","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110484","article-title":"A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations","volume":"196","author":"Zhang","year":"2024","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.engappai.2026.115277_bib32","doi-asserted-by":"crossref","first-page":"2914","DOI":"10.1109\/TCYB.2022.3229666","article-title":"Reinforcement learning-based multiobjective evolutionary Algorithm for mixed-model multimanned assembly line balancing under uncertain demand","volume":"54","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.engappai.2026.115277_bib33","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125374","article-title":"An accelerated discrete artificial bee colony algorithm under the makespan constraint: solving the distributed blocking flow shop scheduling problem with balanced energy consumption costs","volume":"260","author":"Zhang","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.engappai.2026.115277_bib34","doi-asserted-by":"crossref","first-page":"2305","DOI":"10.1109\/TASE.2022.3212786","article-title":"A reinforcement learning driven artificial bee colony Algorithm for distributed heterogeneous No-Wait flowshop scheduling problem with sequence-dependent setup times","volume":"20","author":"Zhao","year":"2023","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.engappai.2026.115277_bib35","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.cie.2025.110861","article-title":"MILP modeling and optimization of flexible job shop scheduling problem with preventive maintenance","volume":"201","author":"Zhao","year":"2025","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.engappai.2026.115277_bib36","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110813","article-title":"Multi-objective flexible flow-shop rescheduling with rigid\u2013flexible hybrid constraints and preventive maintenance","volume":"200","author":"Zhao","year":"2025","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.engappai.2026.115277_bib37","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.112096","article-title":"A deep reinforcement learning optimization algorithm based on heterogeneous graph neural network for hybrid flow shop scheduling problem with finite transportation resources","volume":"161","author":"Zhao","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.engappai.2026.115277_bib38","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1016\/j.ress.2006.01.006","article-title":"Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation","volume":"92","author":"Zhou","year":"2007","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"10.1016\/j.engappai.2026.115277_bib39","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1007\/s10586-025-05303-2","article-title":"Dynamic scheduling for flexible job-shop with quality abnormality caused by machine fault","volume":"28","author":"Zhu","year":"2025","journal-title":"Clust. Comput."},{"key":"10.1016\/j.engappai.2026.115277_bib40","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.eswa.2024.125189","article-title":"A multi-objective genetic algorithm based on two-stage reinforcement learning for green flexible shop scheduling problem considering machine speed","volume":"258","author":"Zhuang","year":"2024","journal-title":"Expert Syst. Appl."}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626015617?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626015617?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T06:46:19Z","timestamp":1781592379000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0952197626015617"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":40,"alternative-id":["S0952197626015617"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2026.115277","relation":{},"ISSN":["0952-1976"],"issn-type":[{"value":"0952-1976","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Resilient scheduling method combining preventive maintenance for distributed heterogeneous flexible job shop problems with machine failures and rescheduling","name":"articletitle","label":"Article Title"},{"value":"Engineering Applications of Artificial Intelligence","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.engappai.2026.115277","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":"115277"}}