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However, the extant maintenance policies for multi\u2010component systems operating under dynamic environments often overlook the correlation between component degradation processes, which can diminish the accuracy of reliability predictions and inflate maintenance costs. This paper proposes a group maintenance policy optimization method for a k\u2010out\u2010of\u2010n system. This method accounts for stochastic degradation, environmental stress, and stochastic dependencies among component degradation processes. By modeling the drift parameter in the Wiener process as a function of environmental stress, the method effectively captures the impact of dynamic conditions. Meanwhile, a degradation interaction matrix is employed to characterize the stochastic dependence across components. An improved group maintenance policy can be formulated by incorporating stochastic dependence and opportunity maintenance. The dual particle swarm optimization algorithm is introduced to optimize the preventive maintenance policy, aiming to ensure system reliability while minimizing costs. Finally, a case study is provided and compared with other maintenance policies to demonstrate the effectiveness of the proposed\u00a0approach.<\/jats:p>","DOI":"10.1002\/qre.70003","type":"journal-article","created":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T04:20:11Z","timestamp":1750825211000},"page":"3076-3088","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Group Maintenance Optimization for a k\u2010out\u2010of\u2010n System Considering Stochastic Dependent Degradation Under Dynamic Environment"],"prefix":"10.1002","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7652-6521","authenticated-orcid":false,"given":"Yifan","family":"Song","sequence":"first","affiliation":[{"name":"School of Internet of Things Engineering Jiangnan University Wuxi China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dinghui","family":"Wu","sequence":"additional","affiliation":[{"name":"School 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