System performance-based joint importance analysis guided maintenance for repairable systems

Dui, Hongyan; Li, Shumin; Xing, Liudong; Liu, Hanlin

doi:10.1016/j.ress.2019.02.021

Cited by 81 publications

(33 citation statements)

References 29 publications

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“…Basing on previous research on maintenance-scheduling integration optimization, Chansombat et al 12 proposed a new MILP model whose objective function and problem expression are more extensive than those in previous studies. Dui et al 13 proposed an extended joint integrated importance measure (JIIM) to effectively guide the selection of PM components, which could maximize gains of the system performance.…”

Section: Introductionmentioning

confidence: 99%

Mission reliability-oriented integrated scheduling optimization model by combining production planning and maintenance activities

Chen

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Machine utilization and production efficiency of manufacturing systems can be effectively improved through reasonable production scheduling. Traditionally, production scheduling and maintenance planning are considered as two independent issues, but it may lead to a suboptimal solution that is unable to maximize the productivity of the manufacturing system. Therefore, a mission reliability-oriented integrated scheduling model that considers production planning and maintenance activities is proposed. Firstly, the mission reliability that takes into account product type and equipment performance is defined to characterize production rhythm. Secondly, the maintenance strategy based on machine degradation cumulative failure and stochastic failure is proposed to guarantee the mission reliability of the machine effectively. Thirdly, an integrated scheduling model is established with the goal of minimizing total operational time, and Genetic algorithm is tailored to find the best production scheduling plan. Finally, a case study and comparative study of the cylinder head manufacturing system are presented to demonstrate the effectiveness of the proposed method. Results show that the proposed method is more suitable for production practice than the previous production scheduling strategy.

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Section: Introductionmentioning

confidence: 99%

Mission reliability-oriented integrated scheduling optimization model by combining production planning and maintenance activities

Chen

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Type 2 IM methods depend on specific state levels of elements, and thus are actually "local" methods. Examples of this kinds of methods are Griffith importance, 27,28 Wu importance, 29 and integrated importance of Si and Dui,[30][31][32][33] etc.…”

Section: Introductionmentioning

confidence: 99%

Importance measure method for error sources of degradation systems based on the present worth of expected Taguchi quality loss

Sun

Cui

et al. 2020

Quality & Reliability Eng

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Deteriorating of the error sources and the deviation of the quality characteristic (QC) of the product from the target value are ubiquitous in practice. Studying the relative contribution of the error sources to the QC deviation is helpful for improving the product performance effectively. In this study, we propose an error importance measure (EIM) method to quantify the relative contribution of error sources to the Taguchi quality loss that is caused by the QC deviation. The present worth of the expected Taguchi quality loss (ETQL) is used to characterize the deteriorating QC deviation. We use Taylor series expansion to decompose the time‐dependent ETQL and the present worth of ETQL into a series of fractions, representing the individual and the interaction contributions of the error sources. Based on the decomposition, the time‐dependent and the time‐independent EIM indices for one and a group of error sources are defined, respectively. The evaluation procedure for the EIM indices is provided and the properties are discussed. Finally, we provide a realistic application case to an aircraft wheel door mechanism to demonstrate the effectiveness of the proposed EIM method.

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“…In Dui et al (2015) this work is extended to general semi-Markov models. A similar framework is used in Dui et al (2019) coupled with a general system model expressed in terms of multi-valued decision diagrams.…”

Section: Introductionmentioning

confidence: 99%

Birnbaum Criticality and Importance Measures for Multistate Systems With Repairable Components

Huseby¹,

Kalinowska²,

Abrahamsen³

2020

Prob. Eng. Inf. Sci.

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We suggest four new measures of importance for repairable multistate systems based on the classical Birnbaum measure. Periodic component life cycles and general semi-Markov processes are considered. Similar to the Birnbaum measure, the proposed measures are generic in the sense that they only depend on the probabilistic properties of the components and the system structure. The multistate system model encodes physical properties of the components and the system directly into the structure function. As a result, calculating importance is easy, especially in the asymptotic case. Moreover, the proposed measures are composite measures, combining importance for all component states into a unified quantity. This simplifies ranking of the components with respect to importance. The proposed measures can be characterized with respect to two features: forward-looking versus backward-looking and with respect to how criticality is measured. Forward-looking importance measures focus on the next component states, while backward-looking importance measures focus on the previous component states. Two approaches to measuring criticality are considered: probability of criticality versus expected impact. Examples show that the different importance measures may result in unequal rankings.

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System performance-based joint importance analysis guided maintenance for repairable systems

Cited by 81 publications

References 29 publications

Mission reliability-oriented integrated scheduling optimization model by combining production planning and maintenance activities

Mission reliability-oriented integrated scheduling optimization model by combining production planning and maintenance activities

Importance measure method for error sources of degradation systems based on the present worth of expected Taguchi quality loss

Birnbaum Criticality and Importance Measures for Multistate Systems With Repairable Components

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