This paper presents a degradation-based model to jointly determine the optimal burn-in, inspection, and maintenance decisions, based on degradation analysis and an integrated quality and reliability cost model. Degradation modeling plays an important role in reliability prediction and analysis for many highly reliable components and equipment, when the failures can rarely be observed. Unlike traditional applications, quality and reliability must be considered simultaneously for devices subject to degradation, because quality inspection decisions often impact anticipated reliability and failure-time distributions. This paper presents an integrated model to jointly optimize quality and reliability for devices subject to degradation, with a fo...
International audienceHealth monitoring data are vital for failure prognostic and maintenance planni...
Correlation between the quality degradation of a product and maintenance of a machine is often estab...
This paper presents a maintenance optimization framework for systems suffering from nonlinear contin...
This paper presents a degradation-based model to jointly determine the optimal burn-in, inspection, ...
Integrated quality and reliability models should be developed to improve system performance simultan...
A degradation-based model for joint optimization of burn-in, quality inspection, and maintenance: a ...
Motivated by the two-phase degradation phenomena observed in light displays (e.g., plasma display pa...
[[abstract]]Today, many products are designed and manufactured to function for a long period of time...
[[abstract]]Burn-in test is a manufacturing process applied to products to eliminate latent failures...
[[abstract]]Burn-in is a widely used method to improve the quality of products or systems after they...
[[abstract]]Burn-in test has been widely used by many manufactures of electronic products to elimina...
As an alternative to traditional life testing, degradation tests can be effective in assessing produ...
In this paper, we develop a maintenance model for systems subjected to multiple correlated degradati...
This paper develops an optimization model to investigate the lengths of the optimal burn-in and warr...
Frequently, the degradation path of brightness of a light display characterizes incomplete burn-in i...
International audienceHealth monitoring data are vital for failure prognostic and maintenance planni...
Correlation between the quality degradation of a product and maintenance of a machine is often estab...
This paper presents a maintenance optimization framework for systems suffering from nonlinear contin...
This paper presents a degradation-based model to jointly determine the optimal burn-in, inspection, ...
Integrated quality and reliability models should be developed to improve system performance simultan...
A degradation-based model for joint optimization of burn-in, quality inspection, and maintenance: a ...
Motivated by the two-phase degradation phenomena observed in light displays (e.g., plasma display pa...
[[abstract]]Today, many products are designed and manufactured to function for a long period of time...
[[abstract]]Burn-in test is a manufacturing process applied to products to eliminate latent failures...
[[abstract]]Burn-in is a widely used method to improve the quality of products or systems after they...
[[abstract]]Burn-in test has been widely used by many manufactures of electronic products to elimina...
As an alternative to traditional life testing, degradation tests can be effective in assessing produ...
In this paper, we develop a maintenance model for systems subjected to multiple correlated degradati...
This paper develops an optimization model to investigate the lengths of the optimal burn-in and warr...
Frequently, the degradation path of brightness of a light display characterizes incomplete burn-in i...
International audienceHealth monitoring data are vital for failure prognostic and maintenance planni...
Correlation between the quality degradation of a product and maintenance of a machine is often estab...
This paper presents a maintenance optimization framework for systems suffering from nonlinear contin...