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

Sun, Zhongchao; Yu, Tianxiang; Cui, Weimin; Song, Bifeng

doi:10.1002/qre.2581

Cited by 5 publications

(3 citation statements)

References 46 publications

(80 reference statements)

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“…Gu et al 3 proposed a reliability dynamic core importance measure to analyze the potential of the CNC lathe subsystems for improvement. To effectively improve product performance, Sun et al 4 proposed an error importance measure (EIM) method to quantify the relative contribution of error sources to the Taguchi quality loss that is caused by the quality characteristic deviations. Cao et al 5 proposed an importance measure evaluation method based on multifunctional testability state under the two-state hypothesis to optimize the maintenance order.…”

Section: Introductionmentioning

confidence: 99%

“…proposed a reliability dynamic core importance measure to analyze the potential of the CNC lathe subsystems for improvement. To effectively improve product performance, Sun et al 4 . proposed an error importance measure (EIM) method to quantify the relative contribution of error sources to the Taguchi quality loss that is caused by the quality characteristic deviations.…”

Section: Introductionmentioning

confidence: 99%

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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%

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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“…Yazdi 29 proposed a system key event identification and optimization model based on triangular intuitionistic fuzzy number, and proved its effectiveness and superiority. Sun 30 proposed an error importance measurement method to study the contribution of different error sources to product Taguchi quality loss and obtained the key error sources affecting product quality. Bahootoroody 31 proposed a risk-based maintenance method using hierarchical Bayesian and Markov chain, and ranked the priority of system maintenance actions.…”

Section: Introductionmentioning

confidence: 99%

Meta-action unit importance identification method of electromechanical product

Liu

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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A new method to importance identification and optimization of meta-action unit for electromechanical product is proposed herein. In the present method, the influence factors and optimization factors related to the importance identification and optimization of meta-action unit were given. The weight vectors of influence factors and optimization factors were obtained by the improved EAHP (extension analytical hierarchy process), and the importance matrix and optimization weight vector of meta-action unit were also built by fuzzy theory. Then, the meta-action unit importance identification and optimization model was established according to the influence factors weight vector, optimization factors weight vector, meta-action unit importance matrix, and meta-action unit comprehensive optimization weight vector. A typical domestic electromechanical product was taken as the analysis object, and the effectiveness of the new method is verified by the comparison of various methods. The proposed method is helpful to reduce the blindness of enterprises in selecting analysis objects, and also lays a foundation for improving the reliability of electromechanical products.

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The Disperse Dyeing of Polyetherimide Fibers Using Orthogonal Array (Taguchi) Design

Kalayci,

Avinc

2024

Fibers Polym

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Polyetherimide (PEI) fibers are classified as high-performance fibers due to their notable characteristics, including chemical resistance, heat resistance, and flame resistance. However, the amorphous structure and intrinsic dyeability of polyetherimide (PEI) fibers set them apart from other high-performance fibers. The fibers possess considerable potential due to their remarkable performance features and are utilized in a wide range of industries, containing fashion and technical textiles, for varied purposes. The present work utilized the Orthogonal Array Taguchi method to systematically improve the dyeing process parameters for fabric samples made of polyetherimide (PEI). The use of a systematic methodology enabled effective experimentation and enabled the determination of the most favorable values of factors, while simultaneously reducing the utilization of resources. The study involved conducting rigorous experiments to evaluate the influence of several parameters on the color strength, tensile qualities, and washing fastness properties of the fabric samples. Furthermore, the utilization of the Taguchi approach facilitated the anticipation of these pivotal fabric properties by considering certain parameters. The objectives of this research encompass not only the progression of textile industry, but also the provision of beneficial perspectives for augmenting the caliber and efficacy of PEI fabrics in various applications.

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

Cited by 5 publications

References 46 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

Meta-action unit importance identification method of electromechanical product

The Disperse Dyeing of Polyetherimide Fibers Using Orthogonal Array (Taguchi) Design

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