生产-存储系统的生产装载与维护联合优化

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2025-04-24 DOI:10.1016/j.ress.2025.111182

Jianyu Liang , Xiaohong Zhang , Jianchao Zeng , Guannan Shi , Huifang Niu

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引用次数: 0

摘要

具有可调负载的生产-存储系统广泛应用于工业生产应用；然而，系统故障会影响任务成功概率。现有的大多数关于此类系统的最佳生产负荷的研究通常集中在生产系统故障后进行的维护活动的影响。通过将预防性维护（PM）活动纳入生产优化过程，可以避免突发故障，从而提高MSP。针对上述问题的挑战，本研究提出了生产负荷和PM的联合优化策略，以最大化系统MSP。在任何决策点上，下一个生产周期的最佳PM计划和负载水平都是基于库存产品的数量来确定的。建立了考虑PM影响的MSP数学模型。以某冷却水系统为例，验证了该策略和模型的有效性。结果表明，集成PM可提高负载可调系统的MSP，最大可提高2.81%。

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Joint optimization of production loading and maintenance for production-storage systems

Production-storage systems with adjustable loads are widely used in industrial production applications; however, system failures will affect mission success probability (MSP). Most existing studies on optimal production loading for such systems normally focus on the effects of maintenance activities conducted after production system failures. By incorporating preventive maintenance (PM) activities into the production optimization process, sudden failures can be avoided, thereby enhancing the MSP. To address this challenge above problems, this study proposes a joint optimization strategy for production loading and PM to maximize the system MSP. At any decision-making point, the optimal PM schedule and load level for the next production cycle are determined based on the amount of product in storage. A mathematical model was developed to calculate the MSP while considering the effects of PM. The proposed strategy and model were validated using a cooling water supply system as a case study. The results showed that integrating PM improved the MSP of the load-adjustable system, achieving a maximum increase of 2.81 %.

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.