A graphical exploration of SPC

Article Abstract:

A X bar chart analyzes the probability structure of standard rules, which are used for identifying out-of control processes. Statistical process control (SPC) is an efficient tool for improving processes and provides information by using a small amount of data. The higher the out of control a process is, the more is the non-negative number in order to maintain stability. The mean of the X bar plotted in the chart acts as a standard against which the values of standard practices are measured. The characteristics of normal distributions are discussed.

Models, Usage, Graphic methods

---

The probability structure of rules for interpreting control charts

Article Abstract:

Information present in control charts for statistical process control (SPC) is interpreted by quality professionals using seven rules defining specific statistics whose occurrence indicates a special reason for variation in process control. The sensitivity of the rules in indicating an out of control process is high if their probability in controled processes is low. The rules have low probabilities for both symmetrical and skewed process output distribution. Methods to determine the probability of the rules and effective use of SPC are discussed.

Probabilities, Probability theory

---

Another look at "A graphical exploration of SPC."(Statistical Process Control)(response to Robert W. Hoyer and Wayne C. Ellis, Quality Progress, p. 65, May 1996 and p. 57, June 1996)

Article Abstract:

Robert W. Hoyer and Wayne C. Ellis are unfamiliar with Shewhart's basis for the control chart in the graphical exploration of Statistical Process Control. A probabilistic model which is a rough evaluation of control chart tests is incorrectly implied to be the operation of a control chart. The ability of control limits of plus or minus four-sigma to give more sensitive tests than the traditional three-sigma limits is incorrect.

Similar abstracts:

• Abstracts: Intertemporal generalization of the relationship between material requirements planning and input-output analysis
• Abstracts: How to teach others to apply statistical thinking. As&D standards' revisions to improve supplier performance. SPC: From chaos to wiping the floor
• Abstracts: Take action on customer satisfaction. Using statistics to improve satisfaction. Four steps to ensure measurement data quality
• Abstracts: Coming alive.... Another brick in the lane: working with English Heritage, Bethnal Green's City Challenge team is restoring streets, facades and interiors in an historic part of the East End
• Abstracts: Single machine scheduling using dominance relation to minimize earliness subject to ready and due times. Optimal pricing and product-planning for new multiattribute products based on conjoint analysis

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.