Titlebook: Statistical Quality Technologies; Theory and Practice Yuhlong Lio,Hon Keung Tony Ng,Ding-Geng Chen Book 2019 Springer Nature Switzerland AG

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Aura231

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Statistical System Monitoring (SSM) for Enterprise-Level Quality Control of data in production facilities. The data may come from different sources such as process parameters and quality characteristics. However, traditional statistical process control (SPC) tools were not built to take the full advantages of the data provided. Traditional SPC tools such as control char

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Sequential Monitoring of Circular Processes Related to the von Mises Distribution in location and/or scale are considered when a process has in-control and out-of-control behavior following a von Mises distribution. Results on existing cumulative sum (cusum) charts are reviewed, and new sequential changepoint methods are developed. These are compared using Monte Carlo simulation

Certainty

Time Truncated Life Tests Using the Generalized Multiple Dependent State Sampling Plans for Various ill present the design of GMDSS sampling when the failure time follows the gamma distribution, Burr type XII distribution and the Birnbaum-Saunders (BS) distribution. The necessary measures including the operating characteristics (OC) function are derived. The plan parameters of the proposed test pl

conscience

Decision Theoretic Sampling Plan for One-Parameter Exponential Distribution Under Type-I and Type-I ntial distribution. The Bayes estimator of the mean lifetime is used to define a decision function. A suitable loss function is considered to derive the Bayes risk of this DSP. A finite algorithm is provided to obtain the optimum DSP and the corresponding Bayes risk. It has been observed numerically

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