The Optimal Burn-in: State of the Art and New Advances for Cost Function Formulation

Liu, Xin; Mazzuchi, Thomas A.

doi:10.1007/978-1-84800-113-8_6

Cited by 8 publications

(11 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides the study of optimization of burn-in and preventive maintenances, the optimal researches combined with burn-in and preventive maintenances have been discussed by many investigators [1][2][3][4][5][6][7] . Optimal model combined with burn-in and the preventive replacement under the binary system state was considered in Ref.…”

Section: Introductionmentioning

confidence: 99%

“…For defective products degrade much faster than qualified product, the defective products can be found economically on the aspect of time and cost if cut-off level and burn-in duration are properly selected. Since the early 1990s, many researchers have discussed the optimal burn-in based degradation models [1][2][3] .…”

Section: Introductionmentioning

confidence: 99%

“…Optimal model combined with burn-in and the preventive replacement under the binary system state was considered in Ref. [1]. Under the two different preventive maintenance strategies, two models combined with burn-in and preventive maintenances were developed in Ref.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal burn-in and preventive maintenance modeling with competing failure processes

Huang

Jing-lun

Ju-hong

et al. 2015

J. Shanghai Jiaotong Univ. (Sci.)

View full text Add to dashboard Cite

In this article, we assume that the product in the burn-in procedure only experiences continuous smooth degradation process, while in the field operation period the product experiences both continuous smooth degradation process and shock process. The shock process can cause the product not only traumatic failure, but also additional abrupt degradation damage. After the system reliability model and maintenance model have been proposed, the optimal burn-in setting and age replacement duration are obtained under the considering of minimizing the long run average cost rate. A numerical example with the real data is analyzed to illustrate the application of the model.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal burn-in and preventive maintenance modeling with competing failure processes

Huang

Jing-lun

Ju-hong

et al. 2015

J. Shanghai Jiaotong Univ. (Sci.)

View full text Add to dashboard Cite

show abstract

“…Most research centers on how long and under what conditions the burn-in process should be conducted to maximize cost efficiency and field reliability. Comprehensive reviews of failure-based burn-in test design have been conducted by Kuo et al [1] and Liu and Mazzuchi [9].…”

Section: Introductionmentioning

confidence: 99%

A Bayesian approach to degradation-based burn-in optimization for display products exhibiting two-phase degradation patterns

Yuan

Bae

Zhu

2016

Reliability Engineering & System Safety

View full text Add to dashboard Cite

Motivated by the two-phase degradation phenomena observed in light displays (e.g., plasma display panels (PDPs), organic light emitting diodes (OLEDs)), this study proposes a new degradation-based burn-in testing plan for display products exhibiting two-phase degradation patterns. The primary focus of the burn-in test in this study is to eliminate the initial rapid degradation phase, while the major purpose of traditional burn-in tests is to detect and eliminate early failures from weak units. A hierarchical Bayesian bi-exponential model is used to capture two-phase degradation patterns of the burn-in population. Mission reliability and total cost are introduced as planning criteria. The proposed burn-in approach accounts for unit-to-unit variability within the burn-in population, and uncertainty concerning the model parameters, mainly

show abstract

“…In the burn‐in literature, studies that consider the tradeoff between cost and reliability are very limited, and the bulk of the literature considers either cost or reliability as a single criterion for the determination of an optimal burn‐in time. Detailed literature reviews on burn‐in can be found in Block and Savits3, Kapan4, and Liu and Mazzuchi5. Examples of cost optimal burn‐in time literature are Mi6, 7, Kim and Kuo8, Yun et al 9, Sheu and Chien10, Cha11, Wu et al 12, Jiang and Jardine13, and Cha et al 14, and examples of reliability optimal burn‐in time literature are Whitbeck and Leemis15, Launer16, Mi17, Cha and Mi18, Bebington et al 19, and Kim and Kuo20.…”

Section: Introductionmentioning

confidence: 99%

Bayesian calculation of optimal burn‐in time using the joint criteria of cost and delivered reliability

Ulusoy

Mazzuchi

Perlstein³

2010

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

Burn-in is a quality control process used to minimize the warranty cost of a product by screening out defective products through prior operation for a period of time before sale. Two decision criteria used to determine the optimal burn-in time are the maximization of the reliability of the delivered product and the minimization of the total cost, which are composed of the cost of burn-in process and the cost of warranty claims. Because of uncertainty regarding the underlying lifetime distribution of the product, both the product reliability and the total cost are random variables. In this paper, the uncertainty in reliability and cost is quantified by use of Bayesian analysis. The joint distribution of reliability and cost is inferred from the uncertainty distribution of the parameters of the product lifetime distribution. To incorporate the uncertainty in reliability and cost as well as the tradeoff between them into the selection of optimal burn-in time, the joint utility function of reliability and cost is constructed using the joint distribution of reliability and cost. The optimal burn-in time is selected as the time that maximizes the joint utility function.

show abstract

The Optimal Burn-in: State of the Art and New Advances for Cost Function Formulation

Cited by 8 publications

References 31 publications

Optimal burn-in and preventive maintenance modeling with competing failure processes

Optimal burn-in and preventive maintenance modeling with competing failure processes

A Bayesian approach to degradation-based burn-in optimization for display products exhibiting two-phase degradation patterns

Bayesian calculation of optimal burn‐in time using the joint criteria of cost and delivered reliability

Contact Info

Product

Resources

About