Reliability-oriented extended importance measures in uncertain inventory systems for mechanical products

Dui, Hongyan; Li, Ceng; Chen, Liwei

doi:10.1177/1687814019828438

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…Dui et al 14 proposed a new method for resilience management of multi-node systems after multi-node failure caused by natural disasters or man-made accidents based on importance measures and applied it to analyze the recovery sequence of in wind power generation system (WPGS) with multi-node failure. Dui et al 15 popularized and applied composite importance, mean absolute deviation, and differential importance measures to the three-echelon inventory system, and identified the key parameters of the inventory system, to achieve the minimal cost and optimal inventory system. With the development of importance measure analysis, importance measure analysis is gradually applied to the reliability research of complex systems such as manufacturing system.…”

Section: Introductionmentioning

confidence: 99%

Integrated availability importance measure analysis for multi‐state manufacturing system based on proportional hazards model

Jia

Yuhong

2022

Quality & Reliability Eng

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Availability is a comprehensive reflection of the overall performance for a manufacturing system, so it is necessary to evaluate the impact of component changes on the availability of a manufacturing system. However, most of the existing importance measures are based on reliability change or state degradation to measure the relative importance of components, which cannot be comprehensively analyzed for multi-state manufacturing systems. The availability of a multi-state manufacturing system is influenced by time and state. Therefore, considering the synergistic effect of time and state, this paper proposes an Integrated Availability Importance Measure (IAIM) based on proportional hazards model combining with component state probability and state transition rate. This measure fully examines the time parameters, state parameters and maintenance impact of multi-state systems, and can comprehensively evaluate the relative importance of multi-state coherent system components, provide theoretical basis for further developing the availability maintenance strategy, and indicate the improvement direction for further improving the reliability of multi-state manufacturing systems. A numerical example is given to prove its feasibility, and the influence of related parameters is investigated by sensitivity analysis. Finally, a real-world case study is used to illustrate its applicability.

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Section: Introductionmentioning

confidence: 99%

Integrated availability importance measure analysis for multi‐state manufacturing system based on proportional hazards model

Jia

Yuhong

2022

Quality & Reliability Eng

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“…A suitable recovery action guarantees the operation of system and reduces the loss caused by system failures. [1][2][3] In fact, the modes of different recovery actions usually have unique characteristics. [4][5][6][7] Cui et al 8 classified roughly the existing recovery modes into two categories: maintenance action and self-healing effect.…”

Section: Introductionmentioning

confidence: 99%

Reliability modeling and maintenance optimization for the two-unit system with preset self-repairing mechanism

Zhao

Huang

Sun

2019

Proceedings of the Institution of Mechanical Engineers, Part O:

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In this article, the reliability model and the opportunistic maintenance optimization model are formulated for the preset self-repairing mechanism which is artificially designed and applied to many engineering systems. The preset self-repairing mechanism is first introduced into the reliability model, and a series system consisting of two units is built to describe the proposed model. One unit in the system is subject to external shocks and has the preset self-repairing mechanism, the other does not have the recovery mechanism and its lifetime distribution follows exponential distribution. For the system, the analytical expression of reliability is derived, and a maintenance optimization model taking the long-run average cost per unit time as objective function is established. The decision parameters of the maintenance policy are preventive and opportunistic degradation levels. Besides, a preventive maintenance policy is proposed for comparison with the opportunistic maintenance policy. Finally, the numerical examples are provided to obtain the optimal decision parameters and demonstrate the effectiveness of opportunistic maintenance policies.

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Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT

Dui,

Wu,

et al. 2024

Front. Eng. Manag.

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Reliability-oriented extended importance measures in uncertain inventory systems for mechanical products

Cited by 5 publications

References 21 publications

Integrated availability importance measure analysis for multi‐state manufacturing system based on proportional hazards model

Integrated availability importance measure analysis for multi‐state manufacturing system based on proportional hazards model

Reliability modeling and maintenance optimization for the two-unit system with preset self-repairing mechanism

Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT

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