A note on decision making method for product acceptance based on process capability indices C pk and C pmk

Lepore, Antonio; Palumbo, Biagio; Castagliola, Philippe

doi:10.1016/j.ejor.2017.12.032

Cited by 47 publications

(27 citation statements)

References 13 publications

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“…As the foundation of process capability evaluation, the quantity and quality of sample data play a key role for the precision of evaluation results. Lepore et al 1 proposed the decision making method for product acceptance based on process capability indices. Wu et al 2 optimized variables sampling inspection scheme for resubmitted lots based on the process capability index.…”

Section: Sample Data Selecting and Collectingmentioning

confidence: 99%

Machine capability sigma level evaluation and allocation method

Zhang

Ran

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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The concept of process capability has been widely used in production management and quality control. However, applying traditional process capability evaluation method to machine capability cannot eliminate the influence of other process factors other than machine. To solve the problem, we propose the sigma machine capability evaluation method in this paper. First, multivariate statistical analysis methods are used to analyze the influence of all factors. Second, we deleted the non-normal data through sample fitting. Then, on the basis of normal distribution, we used the sample variance as the evaluation index to calculate the sigma levels of single characteristic and multiple characteristic parts. Last, we applied the sigma evaluation method and the traditional one to conduct a case study and compare their results, which proves the feasibility and superiority of the sigma level evaluation method.

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Section: Sample Data Selecting and Collectingmentioning

confidence: 99%

Machine capability sigma level evaluation and allocation method

Zhang

Ran

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Therefore, we only need the right side of the upper formula to be minimal, as shown below: The application and statistical inference of process capability indices have received great attention [27][28][29][30]. For many of the products, consumers want the life of the product to be as long as possible.…”

Section: R   mentioning

confidence: 99%

Bayesian Reliability Analysis of Exponential Distribution Model under a New Loss Function

Ren¹

2018

IJPE

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Loss function is an important content in Bayes statistical inference. The task of this article is to study the reliability analysis of the exponential model based on a new proposed symmetric loss function. The new proposed loss function is established on the basis of the LINEX asymmetric loss function. Firstly, the Bayes estimation of the parameter is derived under the prior distribution of the parameter based on non-information Quasi prior distribution, and then the admissibility of the estimators are also discussed. Furthermore, this paper puts forward a novel testing procedure to evaluate the lifetime performance of exponential products based on the new derived Bayes estimator. Finally, Monte Carlo statistical simulation and an applicable example are used to illustrate that the new proposed Bayes estimators and testing procedure are effective and feasible.

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“…As a result, they have been widely applied to gauge the relationship between process performance and product specifications. [2][3][4][5] Furthermore, faced with today's intense competition and diverse customer demands, companies must continuously introduce innovative and sophisticated products, which means that products generally have multiple quality characteristics that may include smaller-the-better (STB), larger-the-better (LTB), and nominal-the-best (NTB) quality characteristics at the same time. Many researchers have indicated that the process quality of every quality characteristic must reach requirements in order for the quality of the entire product to reach customer requirements, and only then is the product considered a good product.…”

Section: Introductionmentioning

confidence: 99%

Analyzing processing quality of machine tools via processed product: Example of ball valve processing machine

Chen

Huang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part E:

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Machine tools are fundamental equipment in industrial production, and their processing quality exerts a direct impact on the quality of the component product that they process. Thus, machine tool manufacturers develop various machine tools depending on market needs and processing functions, and the processed component products generally possess multiple smaller-the-better, larger-the-better, and nominal-the-best quality characteristics at the same time. For this reason, this study employed the widely used process capability indices, [Formula: see text], [Formula: see text], and [Formula: see text] to develop a model that can evaluate the process quality of component products and analyze the processing quality of various machine tools. We first converted the process capability indices into functions of the accuracy and precision indices and constructed a multi-characteristic quality analysis chart that can identify the reason for poor process quality in a quality characteristic. Furthermore, considering the fact that the process capability indices can only be estimated, which may lead to misjudgment in the evaluation of process quality, we derived the [Formula: see text] upper confidence limits of indices and the coordinates formed by the corresponding accuracy and precision indices. Manufacturers can then evaluate the process quality levels of the quality characteristics based on where the coordinates falls in the multi-characteristic quality analysis chart. This can more reliably assist manufacturers in monitoring the processing quality of their machine tools and providing feedback to the machine tool manufacturers for machine improvement.

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A note on decision making method for product acceptance based on process capability indices C pk and C pmk

Cited by 47 publications

References 13 publications

Machine capability sigma level evaluation and allocation method

Machine capability sigma level evaluation and allocation method

Bayesian Reliability Analysis of Exponential Distribution Model under a New Loss Function

Analyzing processing quality of machine tools via processed product: Example of ball valve processing machine

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