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...

Celý popis

Uloženo v:
Podrobná bibliografie
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-021-04242-6