کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5127581 1489054 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Monitoring the performance of Bayesian EWMA control chart using loss functions
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
Monitoring the performance of Bayesian EWMA control chart using loss functions
چکیده انگلیسی


- A Bayesian exponentially weighted moving average control chart is proposed.
- Different priors and loss functions are used to detect small to moderate shifts.
- Real life application and simulations are used to study performance of proposed chart.
- Different shift and sample sizes are used for simulation study.
- The study depicts that the proposed Bayesian control chart can be preferred.

In this article, Bayesian approach is used to develop exponentially weighted moving average (EWMA) control chart under non-informative and informative priors and loss functions for small to moderate shift detection in the process. The performance of Bayesian EWMA control chart has been evaluated using ARL and SDRL. Simulations are performed to compute the performance measures for various values of smoothing constant and sample size. Sensitivity analysis of hyper-parameters of informative (conjugate) prior is also performed. To highlight the performance of Bayesian EWMA chart, we have presented two real life applications for illustrative purpose. The recommendations are also given for the future.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 112, October 2017, Pages 426-436
نویسندگان
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