Fundamental Ideas Behind Control Charts

Author:

Venkatesu Boya1

Affiliation:

1. Woxsen University, India

Abstract

This chapter explores control charts. When the control chart shows that the process being monitored is not in control, the analysis gained from the chart can be useful in pinpointing the causes of the variation because it could lead in the process functioning lesser effectively. A stable process that runs beyond the intended bounds of specifications must be improved by a conscious move aimed at grasping the root causes of the current performance and fundamentally enhancing it. It explores different context of control charts, and it can be helpful find the fluctuations in real time business applications.

Publisher

IGI Global

Reference12 articles.

1. Nonparametric quality control charts based on the sign statistic

2. Venkatesu, B., Abbaiah, R., & Sarada, V. S. (2019). On the Estimating the Operating Characteristic of Shewart control chart for Means using Interval estimates of Process mean and Spread. IJASRM.

3. A nonparametric control chart based on the Mann-Whitney statistic

4. MontgomeryD. C. (2020). Introduction to statistical quality control. John Wiley & Sons.

5. MittagH. J.RinneH. (1993). Statistical Methods of Quality Assurance. Chapman, and Hall/CRC.

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