ASQ - American Society for Quality

	ASQ B1-B3 Guide for Quality Control Charts Control Chart Method of Analyzing Data Control Chart Method of Controlling Quality During Production Buy ASQ Collections Online subscriptions to multiple documents on various subjects Info To speak with an IHS Subject Matter Expert call 1-888-752-0334, outside the US/Canada call 303-397-2892. More Top ASQ Standards...

ASQ B1-B3 - Guide for Quality Control Charts Control Chart Method of Analyzing Data Control Chart Method of Controlling Quality During Production

ANSI/ASQC B1-1996 - Guide for Quality Control Charts

SCOPE
This standard is intended as a guide for handling problems concerning the economic control of quality of materials, manufactured products, services, etc. It has particular reference to methods of collecting, arranging, and analyzing inspection and test records in a manner designed to detect lack of uniformity of quality.

For the sake of simplicity, the term product will be used hereafter, whether the object whose quality is being considered is a material, a semi-finished or finished product, or a service. Thus the words "manufacturer, purchaser, production process, etc." should

NSXJASQC B2-1996 - Control Chart Method of Analyzing Data

SCOPE
This standard covers the control chart* method of analyzing a collection of data, with particular reference to quality data resulting from inspections and tests of materials and manufactured products.

The control chart method of analyzing data provides a graphical summary of the data that are being analyzed.

This summary assists judgment in determining whether there is evidence of lack of control, and whether there is justification in using the summary as a basis for predicting the future performance of the processes that give rise to the data that are being analyzed-the performance, for example, of a production process.

ANSI/ASQC B3-19 - Control Chart Method of Controlling Quality During Production

SCOPE
This standard outlines the control chart method of controlling quality during production. The principles of procedure are given in general terms, and illustrations show how these principles might be applied in specific cases. A glossary of symbols and terms used in this standard is given on pages 37 and 38.

It is recommended that the manufacturer use this method for assistance in identifying and eliminating causes of trouble in repetitive processes, with the object of reducing variations in the quality of manufactured products and materials. The method is especially recommended where inspection can be performed by sampling only. Where inspection is 100 percent, the method is useful for controlling the percentage of rejections. The graphical display of continuing inspection results provides overall quality history at a glance.

The work involved in applying the method is largely engineering, based on judgment, knowledge of the processes, and technical skill in tracking down unwanted causes of variation to their source. The computations require only simple arithmetic.

Some advantages to be gained from a statistical program of quality control in the manufacturing plant are mentioned in ANSUASQC B1-1996, Guide for Quality Control Charts. In particular the following advantages are to be emphasized here:

1. Reduction in rejections
2. Prediction of impending trouble (anticipating trouble before rejections occur; speeding up production by avoiding rejections and interruptions)
3. Reduction in cost of inspection
4. Narrowing of tolerances (thus making more efficient
5. Better basis for establishing or altering specification reuse of materials) requirements.