An integrated methodology for assessing physical and technological life of products for reuse

Rugrungruang, Fatida; Kara, Sami; Kaebernick, H.

doi:10.1504/ijsm.2009.031365

Cited by 11 publications

(2 citation statements)

References 60 publications

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“…The benefits of moth the techniques are fused into this proposed methodology. Demonstrate the technique to estimate residual lifetime as well as reuse the capability of used electronic components [81]. The power semiconductor and capacitor are explored using physics of failure, under ageing effect, and feasibility of the multistate degraded system is analyzed [82].…”

Section: B Prognostics Of Electronic Componentsmentioning

confidence: 99%

Review of Health Prognostics and Condition Monitoring of Electronic Components

et al. 2020

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To meet the specifications of low cost, highly reliable electronic devices, fault diagnosis techniques play an essential role. It is vital to find flaws at an early stage in design, components, material, or manufacturing during the initial phase. This review paper attempts to summarize past development and recent advances in the areas about green manufacturing, maintenance, remaining useful life (RUL) prediction, and like. The current state of the art in reliability research for electronic components, mainly includes failure mechanisms, condition monitoring, and residual lifetime evaluation is explored. A critical analysis of reliability studies to identify their relative merits and usefulness of the outcome of these studies' visa -vis green manufacturing is presented. The wide array of statistical, empirical, and intelligent tools and techniques used in the literature are then identified and mapped. Finally, the findings are summarized, and the central research gap is highlighted. INDEX TERMS Reliability methods, condition monitoring, faults and failures, prognostics, diagnostics.

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Section: B Prognostics Of Electronic Componentsmentioning

confidence: 99%

Review of Health Prognostics and Condition Monitoring of Electronic Components

et al. 2020

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“…This assumption was used to estimate the remaining useful life (RUL) of the hard drives as a criterion for EoU decision making. The RUL estimation can be done by subtraction of the actual usage age of the device from the expected life of the device [37,38]. The RUL is a determinant of the quality of the product such that lower RUL indicates a higher technical obsolescence level and suggests that the product/component is more prone to failure.…”

Section: -Case Study: Personal Computersmentioning

confidence: 99%

Optimal sorting policies in remanufacturing systems: Application of product life-cycle data in quality grading and end-of-use recovery

Mashhadi

Behdad

2017

Journal of Manufacturing Systems

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The quality of used products returned back to recovery facilities is often highly uncertain. Quality grading and sorting policies are immediate solutions that are used in remanufacturing systems to handle this source of variability in incoming products. The sorting policies offered in the literature so far are mainly based on external criteria such as market trends, corporate policies and assessment of the product's physical condition. In this study, we offer a new sorting method based on both product's internal factors such as future reusability of components, product identity data, and product health status as well as external factors such as market trends. The purpose of this paper is to improve decision making in remanufacturing operations by integrating the product life cycle information, particularly product usage phase data, into determining both optimal sorting policies and End-of-Life/End-of-Use (EoL/EoU) decisions. To achieve this, two related analyses are conducted: first, a reusability index is derived for each product unit based on the reusability of its components, product features, and the product usage phase information. Second, the reusability index is used as a quality measure to derive the optimal EoU decision for each product category. Clustering algorithms are employed to identify similar products that could go through the same recovery process. A data set of hard disk drive Self-Monitoring Analysis and Reporting Technology (S.M.A.R.T.) coupled with simulated data has been analyzed to illustrate the application of the model. The proposed framework helps decision makers include product identity data in the EoU recovery decision making under the quality heterogeneity.

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Assessing Remaining Useful Lifetime of Products

Kara

2011

Wiley Encyclopedia of Operations Research and Management Science

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The requirement for reliable methodologies to assess the remaining useful life of used components has become crucial in order to implement various end‐of‐life strategies. This article presents the latest development in predicting the remaining useful lifetime of used components. It takes the physical and the technological life aspects into account for an integrated assessment. There are three main parts of this article. First, the remaining physical life of used components is derived based on the failure rate data and the statistical analysis of usage life. Secondly, the use of technology forecasting technique to predict the remaining technological life. Finally, the resulting estimations from the two aspects are combined to obtain an integrated assessment for estimating the remaining useful life of components.

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An integrated methodology for assessing physical and technological life of products for reuse

Cited by 11 publications

References 60 publications

Review of Health Prognostics and Condition Monitoring of Electronic Components

Review of Health Prognostics and Condition Monitoring of Electronic Components

Optimal sorting policies in remanufacturing systems: Application of product life-cycle data in quality grading and end-of-use recovery

Assessing Remaining Useful Lifetime of Products

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