Lifetime performance evaluation and analysis model of passive component capacitor products

With the rise of the semiconductor industry, passive components have become a foundation of the electronics industry and propelled the development of peripheral equipment and industries. This paper focused on improving the lifetime performance of products to increase product value and achieve the gr...

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Vydáno v:	Annals of operations research Ročník 311; číslo 1; s. 51 - 64
Hlavní autoři:	Chen, Kuen-Suan, Yu, Chun-Min
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.04.2022 Springer Springer Nature B.V
Témata:	Analysis Business and Management Capacitors Clean energy Combinatorics Component reliability Confidence intervals Conservation Distribution functions Energy conservation Environmental aspects Green products Industrial development Operations research Operations Research/Decision Theory Passive components Performance evaluation Performance indices Probability density functions Product life cycle Reduction S.I.: Reliability Modeling with Applications Based on Big Data Sampling error Service life (Engineering) Service life assessment Statistical analysis Theory of Computation Taiwan Relative lifetime performance index Reliability function Fuzzy testing Capacitor Confidence interval
ISSN:	0254-5330, 1572-9338
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Abstract	With the rise of the semiconductor industry, passive components have become a foundation of the electronics industry and propelled the development of peripheral equipment and industries. This paper focused on improving the lifetime performance of products to increase product value and achieve the green production goals of energy conservation and waste reduction. We first established a relative lifetime performance index for passive component capacitors. Next, we derived the cumulative distribution function and reliability function based on the probability density function of relative lifetime to investigate the properties of the relative lifetime performance index. The results indicated that the reliability increased with the index value and that the probability of the product lifetime exceeding the minimum requirement also increased with the index value. Due to the fact that the index contains unknown parameters, using point estimates to estimate product lifetime performance may lead to misjudgment caused by sampling errors. For this reason, we propose a uniformly minimum-variance unbiased estimator for the index and derived its probability density function. In addition, we establish a fuzzy testing model based on the confidence interval to determine whether the lifetime performance of a product reaches the required performance level. Finally, we present a numerical example of passive components to demonstrate application of the proposed model. This example further demonstrates how the proposed model improves product lifetime performance, which in turn increases product value and also achieves the green objectives of energy conservation and waste reduction.
AbstractList	With the rise of the semiconductor industry, passive components have become a foundation of the electronics industry and propelled the development of peripheral equipment and industries. This paper focused on improving the lifetime performance of products to increase product value and achieve the green production goals of energy conservation and waste reduction. We first established a relative lifetime performance index for passive component capacitors. Next, we derived the cumulative distribution function and reliability function based on the probability density function of relative lifetime to investigate the properties of the relative lifetime performance index. The results indicated that the reliability increased with the index value and that the probability of the product lifetime exceeding the minimum requirement also increased with the index value. Due to the fact that the index contains unknown parameters, using point estimates to estimate product lifetime performance may lead to misjudgment caused by sampling errors. For this reason, we propose a uniformly minimum-variance unbiased estimator for the index and derived its probability density function. In addition, we establish a fuzzy testing model based on the confidence interval to determine whether the lifetime performance of a product reaches the required performance level. Finally, we present a numerical example of passive components to demonstrate application of the proposed model. This example further demonstrates how the proposed model improves product lifetime performance, which in turn increases product value and also achieves the green objectives of energy conservation and waste reduction.
Audience	Academic
Author	Yu, Chun-Min Chen, Kuen-Suan
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SubjectTerms	Analysis Business and Management Capacitors Clean energy Combinatorics Component reliability Confidence intervals Conservation Distribution functions Energy conservation Environmental aspects Green products Industrial development Operations research Operations Research/Decision Theory Passive components Performance evaluation Performance indices Probability density functions Product life cycle Reduction S.I.: Reliability Modeling with Applications Based on Big Data Sampling error Service life (Engineering) Service life assessment Statistical analysis Theory of Computation
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Title	Lifetime performance evaluation and analysis model of passive component capacitor products
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