An approach that can quickly assess product reliability

2009 ◽  
Vol 26 (6) ◽  
pp. 571-578 ◽  
Author(s):  
J. Zanoff ◽  
S. Ekwaro-Osire
Keyword(s):  
Product Reliability

Multidimensional Grey Evaluation Method for Aeronautic Electronic Components & Devices Selection

2012 ◽  
Vol 214 ◽  
pp. 469-474 ◽  
Author(s):  
Xiang Fen Wang ◽  
Cheng Gao ◽  
Gui Cui Fu
Keyword(s):  
Evaluation Method ◽  
Selection Process ◽  
Development Stage ◽  
Electronic Components ◽  
Product Reliability ◽  
Product Use ◽  
Important Means

Aeronautic electronic components & devices selection is an important means to improve the aeronautic product reliability in its development stage. This paper proposes a multidimensional grey evaluation method to evaluate the electronic components & devices selection process by four indexes after the analysis of aeronautic production contractors and component manufactures. A memory selection example was presented to prove the feasibility of the proposed method. The proposed method can avoid the evaluation error effectively due to subjective factors and help to improve the product use reliability.

scholarly journals Impact of Performance-Based Contracting on Product Reliability: An Empirical Analysis

2011 ◽  
Author(s):  
Jose A. Guajardo ◽  
Morris A. Cohen ◽  
Sang-Hyun Kim ◽  
Serguei Netessine
Keyword(s):  
Empirical Analysis ◽  
Product Reliability

Reliability loss–oriented product assembling quality risk modeling approach based on reliability–quality–reliability chain

2020 ◽  
Vol 234 (10) ◽  
pp. 1355-1366 ◽  
Author(s):  
Yihai He ◽  
Anqi Zhang ◽  
Fengdi Liu ◽  
Xiao Han ◽  
Di Zhou
Keyword(s):  
System Reliability ◽  
Process Variations ◽  
Risk Modeling ◽  
Risk Priority Number ◽  
Product Reliability ◽  
Modeling Approach ◽  
Quality Risk ◽  
Work First ◽  
Fusion Framework ◽  
Operational Data

Assembling variations caused by assembling system reliability degradation are the root causes of poor-assembled product reliability, and the reliability loss is the barometer of assembling quality risks. However, few studies have integrated reliability loss with assembling quality risk analysis. Therefore, a modeling approach of assembling quality risk regarding product reliability loss is expounded in this work. First, the assembling quality risk is divided into systematic, exterior, and interior risks, and a formation mechanism of assembling quality risk is presented. Second, the fusion framework of big operational data in assembling is described, an assembling reliability–quality–reliability chain is established, and the parameters of the chain constitute assembling system reliability ( R), assembling process quality ( Q), and assembled product reliability ( R). Third, on the basis of the reliability–quality–reliability chain, the risk priority number is adopted to quantify the assembling quality risk, which is extended by quantifying the undetectable rate of the assembling system, the occurrence possibility of process variations, and the product reliability loss. Finally, an assembling quality risk of a circuit maintenance cover of a car is conducted to validate the effectiveness and advancement of the presented approach. The result shows that the proposed method can systematically quantify the assembling quality risk.

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