Qianmei Feng

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This paper proposes a Six Sigma based framework to deploy high product reliability commitment in distributed subcontractor manufacturing processes. The study aims to expand the Six Sigma tools in applications, where products are designed and developed under the fast time-to-market requirement. The reliability deployment is driven by two incentives: the(More)
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(More)
Industrial, manufacturing and service organizations are interested in improving their products and processes by decreasing the variation, because the competitive environment leaves little room for error. Variation is the enemy of quality which is defined and evaluated by the customers. We must deliver products and services at the ideal targets demanded by(More)
BACKGROUND Patients not attending to clinic appointments (no-show) significantly affects delivery, cost of care and resource planning. We aimed to evaluate the prevalence, predictors and economic consequences of patient no-shows. METHOD This is a retrospective cohort study using administrative databases for fiscal years 1997-2008. We searched(More)
For a component or a system subject to stochastic degradation with sporadic jumps that occur at random times and have random sizes, we propose to model the cumulative degradation with random jumps using a single stochastic process based on the characteristics of Lévy subordinators, the class of non-decreasing Lévy processes. Based on an inverse Fourier(More)
This paper develops a two-stage stochastic cost-reliability optimization model for multi-component systems subjected to uncertain stress exposure which leads to uncertain component and system degradation and wear. Optimization models are used for making decisions of system configurations to be applied in different and occasional diverse future usage(More)
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