Abstract
Since the censored characteristics are unmonitored effectively in the manufacturing process, the produced product tends to have an unexpected high infant failure rate. Thus, this paper analyzes the associated relationship between product reliability and censored quality characteristics in manufacturing process firstly, and the dynamic and universal control demands for censored characteristics are presented. In view that traditional CEV-based control charts are usually confined to some specific types when dealing with censored characteristics, which greatly restrict the wide application of censored control charts in the high-quality manufacturing process, the convergent CEV technique based on the principle of asymptotic reduction is proposed to be better applied in the analysis of censored characteristics. And novel design procedures and simple but practical performance indicator in the form of the most dangerous alarm distance for censored characteristics of Weibull distribution are put forward. Finally, the validity of the proposed method is verified by a case study of monitoring a censored characteristic relative to lifetime of some aeronautical bearings, and the result proves that the sensitivity of the proposed control chart increased 79.96% compared to traditional CEV chart and is proved to be applicable to monitoring mixed censored characteristics affecting product reliability in manufacturing process.
Highlights
To meet the demand of high reliability and long life of the product, targeted analysis, assurance, and optimization for reliability are required to be carried out in the lifecycle of design, manufacture, and usage
The validity of the proposed method is verified by a case study of monitoring a censored characteristic relative to lifetime of some aeronautical bearings, and the result proves that the sensitivity of the proposed control chart increased 79.96% compared to traditional conditional expected value (CEV) chart and is proved to be applicable to monitoring mixed censored characteristics affecting product reliability in manufacturing process
The rest of the paper is organized as follows: Section 2 presents the principle of monitoring censored characteristics in the manufacturing process for assurance of product reliability; Section 3 proposes the asymptotic reduction method for statistical processing of censored data; Section 4 presents design scheme based on the convergent CEV
Summary
To meet the demand of high reliability and long life of the product, targeted analysis, assurance, and optimization for reliability are required to be carried out in the lifecycle of design, manufacture, and usage. Due to the detection technology and time and cost constraints, censored characteristics that contain incomplete information are widely present in the manufacturing process, which constitutes the overall product quality data together with the normal (uncensored) characteristics [7, 8] Deviation of both types of characteristics transfers and restricts the produced quality and reliability in the manufacturing process. The rest of the paper is organized as follows: Section 2 presents the principle of monitoring censored characteristics in the manufacturing process for assurance of product reliability; Section 3 proposes the asymptotic reduction method for statistical processing of censored data; Section 4 presents design scheme based on the convergent CEV. The variations of censored and normal KQCs (Key Quality Characteristics) [26] have a negative impact on the reliability of manufactured products
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