Use of a field failure database for improvement of product reliability

Jones, Jeffrey Alun; Hayes, J. A.

doi:10.1016/s0951-8320(96)00088-9

Cited by 29 publications

(22 citation statements)

References 1 publication

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“…1. Content: The field databases are usually suitable for collecting information such as the proportion of failed products, the products that fail more often than the other ones, and the lifetime distribution of products 6 . For reliability analysis using a statistical approach, the failures registered in the field databases should be stored with the relevant 'time scale' or 'usage factor' 7 .…”

Section: Quality Analysis Of Reliability-oriented Field Feedback Infomentioning

confidence: 99%

The use of reliability‐oriented field feedback information for product design improvement: a case study

Magniez¹,

Brombacher

Schouten

2008

Quality & Reliability Eng

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In the innovative industry, four major trends are found to influence product quality and reliability: the increase in product complexity, the strong pressure on time to market, the increasing global economy, and the decreasing tolerance for quality problems. Thus, it becomes more difficult to anticipate all potential failures during the product development process. In this context, an efficient field feedback process should be in place to react to the unanticipated deviations in product performance. Based on a case study made in an innovative company, this paper shows that the problem is not so much in the information collection as in the inherent quality of the information and in the manner the information is processed. Therefore, a new method, presented in this paper, was developed to classify and prioritize field data and to upgrade it into information that can be used for design improvement according to the dominant classes of failures using the four-phase roller coaster model. Although this newly generated information is richer than raw field data it is not yet detailed enough to allow direct design optimization. Therefore, a second upgrading stage, based on design of experiments, was developed. It uses a method that combines physics-of-failure (bottom-up) and field information (top-down). As traditional DoE mainly deals with largely time-independent quality data obtained during the manufacturing process the approach had to be modified to deal with timedependent reliability data. Case study results show that it is a promising approach for characterizing and resolving failure mechanisms also in innovative companies.

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Section: Quality Analysis Of Reliability-oriented Field Feedback Infomentioning

confidence: 99%

The use of reliability‐oriented field feedback information for product design improvement: a case study

Magniez¹,

Brombacher

Schouten

2008

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…Michelson (1998) discussed extensively the use of reliability technology in the process industry. Jones and Hayes (1997) have proposed a methodology for collecting field data and their analysis for assessing the current reliability of a given production on line. Habchi (2002) improved the method of reliability assessment for suspended test which is performed in order to accelerate testing duration and then to obtain information quickly on the life distribution of products.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis for peach production line management

Tsarouhas

Arvanitoyannis

2011

Journal of Food Engineering

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“…Information gathered with such an approach may prove invaluable in providing an insight into equipment behaviour and highlighting problems which might otherwise remain unnoticed. Jones and Hayes (1997) reported a methodology to collect field reliability data and analysis for identifying problems in manufacturing, design and screening.…”

Section: Introductionmentioning

confidence: 99%