Reliability analysis for mechanical parts considering hidden cost via the modified quality loss model

Mao, Kui; Liu, Xintian; Li, Shuangshuang; Wang, Xu

doi:10.1002/qre.2800

Cited by 18 publications

(10 citation statements)

References 37 publications

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“…As concerns the reliability of the instrument, most studies report the alpha coefficient, but this index can underestimate the true reliability when the assumptions of τ-equivalence, unidimensionality and normality in the distribution of the items are not met, as it is often the case with psychological assessment instruments [32][33][34]. A discussion on reliability can be consulted elsewhere [70][71][72][73][74].…”

Section: Discussionmentioning

confidence: 99%

Validity Evidence for the Internal Structure of the Maslach Burnout Inventory-Student Survey: A Comparison between Classical CFA Model and the ESEM and the Bifactor Models

et al. 2023

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Academic burnout is a psychological problem characterized by three dimensions: emotional exhaustion, depersonalization, and personal accomplishment. This paper studies the internal structure of the MBI-SS, the most widely used instrument to assess burnout in students. The bifactor model and the ESEM approach have been proposed as alternatives, capable of overcoming the classical techniques of CFA to address this issue. Our study considers the internal structure of the MBI-SS by testing the models most frequently referenced in the literature, along with the bifactor model and the ESEM. After determining which model best fits the data, we calculate the most appropriate reliability index. In addition, we examined the validity evidence using other variables, namely the concurrent relationships with depression, anxiety, neuroticism, and conscientiousness, and the discriminant relationships with the dimensions of engagement, extraversion, and agreeableness. The results obtained indicate that the internal structure of the MBI-SS is well reflected by the three-factor congeneric oblique model, reaching good values of reliability and convergent and discriminant validity. Therefore, when the scale is used in applied contexts, we recommend considering the total scores obtained for each of the dimensions. Finally, we recommend using the omega coefficient and not the alpha coefficient as an estimator of reliability.

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Section: Discussionmentioning

confidence: 99%

Validity Evidence for the Internal Structure of the Maslach Burnout Inventory-Student Survey: A Comparison between Classical CFA Model and the ESEM and the Bifactor Models

et al. 2023

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“…However, F 3 has a higher ranking result than F 8 using the proposed method, which is in accordance with the real circumstances since F 3 has a high occurrence frequency in the practical process. Besides, the B‐axis turntable must be disassembled when repairing failed parts and adjusting the assembly spacing between the paw and other parts, 60 which illustrates the maintenance difficulty of F 3 is similar to that of F 8 . Hence, the F 3 should have a higher risk ranking than F 8 .…”

Section: Case Studymentioning

confidence: 99%

An integrated risk assessment method using Z‐fuzzy clouds and generalized TODIM

Xiao

Huang

Zhang

2022

Quality & Reliability Eng

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As a systematic risk assessment instrument, failure mode, and effects analysis (FMEA) has been extensively applied for enhancing systems’ quality. However, the classical FMEA technique has limitations in many application scenarios. Although fuzzy logic‐based risk assessment techniques are introduced to enhance conventional FMEA, they still have limitations, for example, needing prior presumptions, neglecting decision‐makers’ bounded rationality, and lacking the capability to reflect the judgmental reliability and randomness of experts’ evaluations simultaneously. To cover these limitations, an extended FMEA method is presented in this paper by using Z‐fuzzy clouds and generalized TODIM (An acronym in Portuguese of interactive and multiple attribute decision‐making). First, a novel concept of Z‐fuzzy clouds is proposed to handle various factors of uncertainties by combining the advantages of the Z‐number theory, the interval‐valued intuitionistic fuzzy sets theory, and the cloud model theory, and the basic operations and Minkowski‐type distance measure of Z‐fuzzy clouds are also defined and discussed. Furthermore, more risk factors are added into the conventional three risk factors and to further build a multiple dimension risk factor system for better evaluating failures. Additionally, the experts’ bounded rationality and the risk factors’ interrelationships are considered by two developed weighting models. Finally, a real study case, sensitivity analysis, and several comparisons are performed to validate the effectiveness of the proposed model. Results demonstrate that the proposed model is more rational compared with the previous several methods.

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“…Jeang proposed an assembly tolerance optimization model that minimizes manufacturing cost, quality loss, maintenance cost, and scrap cost [2]. To estimate the implicit quality cost of the product more accurately, a model different from Taguchi's quadratic quality loss function and an improved quadratic, exponential quality loss function was developed [3,4]. Ho and Chen assumed that the quality characteristics obey normal distribution, log-normal distribution, and exponential distribution, etc., discussed the optimal process means of the one-sided specification limit by introducing the quadratic quality loss function [5,6].…”

Section: Introductionmentioning

confidence: 99%

Tolerance optimization of non-normal distribution characteristics for mechanical parts based on asymmetric cubic quality loss

Kai

Liu

2023

Preprint

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Purpose: The error distribution of product quality is different, not all follow the normal distribution, and sometimes there is a non-normal distribution of the product. Therefore, the triangular distributions and trapezoidal distributions are investigated based on asymmetric cubic quality loss. Design: Appropriate changes in the process mean value can effectively reduce the quality loss of the product. In order to study the optimization problem of the process mean with linear asymmetric quality loss, a mathematical model for calculating the expected quality loss considering the optimization of the process means is established. Finding: The proposed model is solved, and the analytical solution of the optimal process mean is obtained. Moreover, a numerical model of inherent reliability that conforms to the triangular distribution is introduced. Due to the existence of measurement fluctuations, it will bring fluctuation loss. The measurement loss is improved. Finally, the objective function calculates the optimal tolerance is calculated with the minimum total cost. An example is given to illustrate the effectiveness of the model.

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Reliability analysis for mechanical parts considering hidden cost via the modified quality loss model

Cited by 18 publications

References 37 publications

Validity Evidence for the Internal Structure of the Maslach Burnout Inventory-Student Survey: A Comparison between Classical CFA Model and the ESEM and the Bifactor Models

Validity Evidence for the Internal Structure of the Maslach Burnout Inventory-Student Survey: A Comparison between Classical CFA Model and the ESEM and the Bifactor Models

An integrated risk assessment method using Z‐fuzzy clouds and generalized TODIM

Tolerance optimization of non-normal distribution characteristics for mechanical parts based on asymmetric cubic quality loss

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