What is a Statistical Technique!
A method to collect, analyze and interpret data relating to product and process performance. This will help to ensure consistent quality, and appropriate process controls. It is also used to promote continuous improvement. It applies to data gathered from process, shipment, inspections and marketing analysis.
You will need to establish measures for determining if a sample size is truly representative of a given population with respect to the data being collected and analyzed. An adequate sample size is necessary in order to ensure compliance with the production requirements of your company’s operation.
Random Sampling is performed on a given set of activities, in order to provide a cross sectional overview of a set of activities being looked at. Answers to these, and a lot of other questions can be found in ANSI/ASQC Z1.4, Sampling Procedures and Tables for Inspection by Attributes.
Do you have such a procedure? If not, you may want to create one. Before getting started, you will need to consider and address the following steps:
1. Determine the need for Random Sampling.
2. Coordinate what needs a Sample Inspection.
3. Define the appropriate Inspection Criteria.
4. Develop, Approve and Implement a Statistical Technique Procedure.
Sampling Plans may be Single, Double or Multiple. Inspection Levels I, II or III would need to be determined. You will start out performing Normal Inspections. Should the number of lots accepted increase or decrease; you will change to Reduced or Tightened Inspections, as applicable. Lot or batch sizes vary, depending on the total number.
If you do not have a documented statistical technique program, consider utilizing an audit consultant to assist your team, or perform this for you, so that you can focus on what’s most important to you - your customers.
At Storti Quality Consulting, we take pride in helping our customers use quality management practices to enhance results and increase profits. If you’d like to talk about Quality, please call us at 215.657.0837, send an email to ralph.storti@storticonsulting.net, or visit our website, www.storticonsulting.net.
