NDLI: Bayesian evaluation approach for process capability based on subsamples

Content Provider	IEEE Xplore Digital Library
Author	Zhu Huiming Yang Jun Hao Liya
Copyright Year	2007
Description	Author affiliation: Hunan Univ., Changsha (Zhu Huiming; Yang Jun; Hao Liya)
Abstract	Process capability indices (PCIs) have been widely used to measure the actual process information with respect to the manufacturing specifications, and become the common language for process quality between the customer and the supplier. Most of existing research works for capability testing are based on the traditional frequentist point of view and statistical properties of the estimated PCIs are derived based on the assumption of one single sample. In this paper, we consider the problem of estimating and testing process capability using Bayesian statistical techniques based on subsamples collected over time from an in-control process. The posterior probability and the credible interval for the most popular index Cp under a non-informative prior are derived. The manufacturers can use the presented approach to perform capability testing and determine whether their processes are capable of reproducing product items satisfying customers stringent quality requirements when a production control plan is implemented for monitoring process stability.
Starting Page	1200
Ending Page	1203
File Size	410109
Page Count	4
File Format	PDF
ISBN	9781424415281
DOI	10.1109/IEEM.2007.4419382
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-02
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Probability Educational institutions posterior probability Manufacturing processes Bayesian methods process capability indices Production control Quality control Frequency Sampling methods Bayesian inference Monitoring credible interval Testing multiple samples
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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