Quantitative Evaluation of Quality Loss for Nominal-the-best Quality Characteristic

Shilpa, M.; Naidu, N. V.

doi:10.1016/j.mspro.2014.07.479

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…The estimated consumer loss (Lc) for this optimization model is Rs.3000 [17] (consumer loss involves the cost of repairing, replacement of an items and other related cost derived from customer complaints at level of 50%). The consumer tolerance (Tol) for responses in this study is estimated as difference between upper limit and nominal value.…”

Section: Description Of Parametric Optimizationmentioning

confidence: 99%

Optimization of Parameters Influencing the Quality Loss of Machine Motorized Spindle Using Design Exploration and Taguchi Methods

Ahmed

Li²,

Helal

2019

JERA

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The quality loss caused by tolerance of factors can be reduced when the nominal values of design-factors are carefully chosen. Therefore, the parametric optimization method is significant to an optimally define the Quality Loss cost (QLc). In this work, the Design Exploration (DE) and Taguchi Methods along with unforced Rotordynamic analysis have been used to find the optimal levels of factors affecting the QLc. Under definite constraints, the mathematical models are developed for an optimization problem and then utilized to develop Machine Motorized Spindle (MMS). In order to find the optimal levels of the factors, the sensitivities of factors on structural weight and First-Order-Nature-Frequency (FONF) has been analyzed using Response-Surface (RS) method, while the Taguchi method is used to find the QLc. The results found shown that there are significant enhancements in signal-to-noise ratio for structural weight and FONF. The QLc has been saved to about more than half-time by comparing to its initial values. The results also indicated that the proposed optimization approach is feasible and successful in improving dynamic characteristics and QLc saving for the MMS. Keywords: Machine Motorized Spindle, Finite Element Method, Unforced Vibration, Rotordynamic Analyses, Response Surface Method, Taguchi Quality Loss cost.

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Section: Description Of Parametric Optimizationmentioning

confidence: 99%

Optimization of Parameters Influencing the Quality Loss of Machine Motorized Spindle Using Design Exploration and Taguchi Methods

Ahmed

Li²,

Helal

2019

JERA

View full text Add to dashboard Cite

show abstract

“…Taguchi's QLF was applied to the quality evaluation of axles’ production in five different industries, which shows that it is very important to use the QLF to analyse and quantify the quality loss 12 . Based on Taylor's expansion theory, when the cubic QLF is established, the calculation results are more accurate than the quadratic QLF's.…”

Section: Introductionmentioning

confidence: 99%

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

Mao

Liu

et al. 2020

Quality & Reliability Eng

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The improvement of mechanical parts inherent reliability has an impact on the reputation and performance of the company. To estimate the inherent reliability of products more conveniently and economically, a hidden quality cost‐production cost (HQC‐PC) reliability prediction model is put forward. To estimate the hidden quality cost (HQC) of products more accurately, a quadratic exponential quality loss function model is established, which is different from Taguchi's quadratic quality loss function (QLF) and the modified QLFs. In the new quality loss model, the growth rate of quality loss on both sides of the target value is considered. Under the condition that the quality characteristic value obeys normal distribution, the general estimation formulas of HQC in the tolerance range is obtained considering sampling error and the numerical model of inherent reliability is established. The effect of different parameters on the inherent reliability of products is discussed with practical case, such as design and production parameters. Then, the appropriate process capability index (PCI) is selected according to different production processes. The relationship between the HQC‐PC reliability prediction model and PCI is derived by a numerical model of inherent reliability. A new analysis method of inherent reliability is proposed.

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A modified quality loss model of service life prediction for products via wear regularity

Liu

Mao

Wang

et al. 2020

Reliability Engineering & System Safety

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Quantitative Evaluation of Quality Loss for Nominal-the-best Quality Characteristic

Cited by 4 publications

References 10 publications

Optimization of Parameters Influencing the Quality Loss of Machine Motorized Spindle Using Design Exploration and Taguchi Methods

Optimization of Parameters Influencing the Quality Loss of Machine Motorized Spindle Using Design Exploration and Taguchi Methods

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

A modified quality loss model of service life prediction for products via wear regularity

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