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Modelling and application of joint maintenance grouping and workload smoothing for an automotive plant.

, , , , and . Int. J. Prod. Res., 62 (8): 2832-2852 (2024)

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A Stationary Grouping Maintenance Strategy Using Mean Residual Life and the Birnbaum Importance Measure for Complex Structures., , and . IEEE Trans. Reliab., 65 (1): 217-234 (2016)Dynamic opportunistic maintenance planning for multi-component redundant systems with various types of opportunities., , , and . Reliab. Eng. Syst. Saf., (2020)Control Chart Patterns (CCPs) Forecasting Using Probabilistic Deep Learning., , , , and . ICSRS, page 125-129. IEEE, (2022)Different methods for RUL prediction considering sensor degradation., , and . Reliab. Eng. Syst. Saf., (March 2024)A Study on Health Diagnosis and Prognosis of an Industrial Diesel Motor: Hidden Markov Models and Particle Filter Approach., , , , , and . DPS, volume 635 of Advances in Intelligent Systems and Computing, page 380-389. Springer, (2017)Maintenance grouping for multi-component systems with availability constraints and limited maintenance teams., , , and . Reliab. Eng. Syst. Saf., (2015)Dynamic maintenance grouping and routing for geographically dispersed production systems., , , and . Reliab. Eng. Syst. Saf., (2019)A Study on the Impacts of Maintenance Duration on Dynamic Grouping Modeling and Optimization of Multicomponent Systems., , and . IEEE Trans. Reliab., 67 (3): 1377-1392 (2018)A predictive maintenance policy considering the market price volatility for deteriorating systems., , , and . Comput. Ind. Eng., (2021)Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function., , and . CoRR, (2023)