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- W3139110091 abstract "In industry, the durations of reliability experiments are usually fixed in advanced, which could lead to suboptimal results. A constrained optimization problem is stated in order to determine the best inspection time for reliability testing. The decision criterion is based on Weibull failure counts, whereas the constraints are related to the reliability and risk levels imposed by the producer and the consumer. The optimal reliability sampling plan provides the best strategy to determine the acceptability of lots and production processes. Minimum-cost inspection times, as well as the required number of test units and the maximum number of failures allowed, are derived by solving mixed integer nonlinear programming problems. An approximation of the minimum feasible acceptance number is first provided in closed-form. An efficient step-by-step procedure is then proposed in order to find the optimal reliability test plan for lot sentencing. In most cases, only a few iterations are needed to reach the optimal solution. For illustrative purposes, the suggested methodology is applied to the manufacturing of turbine engine combustors, systems of components and lawn mower motors." @default.
- W3139110091 created "2021-03-29" @default.
- W3139110091 creator A5045225985 @default.
- W3139110091 date "2021-06-01" @default.
- W3139110091 modified "2023-10-02" @default.
- W3139110091 title "Optimal durations of Weibull reliability tests based on failure counts" @default.
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- W3139110091 doi "https://doi.org/10.1016/j.cie.2021.107247" @default.
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