Introduction to STATISTICAL PROCESS CONTROL TECHNIQUES.
Statistical process control (SPC) is the application of statistical methods to the monitoring and control of a process to ensure that it operates at its full potential to produce conforming product. Under SPC, a process behaves predictably to produce as much conforming product as possible with the.Introduction to Statistical Process Control A Problem Solving Process Aroach 4 Contents Contents 1 Introduction 6 1.1 Quality is the Responsibility of Everyone 6 1.2 Costs as a Function of Quality 6 2 The 7 Basic Statistical Process Control Tools 8 2.1Histogram 9 2.2 Check Sheets 15 2.3 Pareto Chart 19 2.4 Cause and Effect Diagram 24.We need specific tools that can help us make the right quality decisions. These tools come from the area of statistics and are used to help identify quality problems in the production process as well as in the product itself. Statistical Quality Control (SQC) is a set of statistical techniques intended to aid in the improvement of system quality.
In the field of quality control, the problems susceptible of statistical analysis are those of standardization, specification and inspection; thus it includes problems both of quality of design and quality of conformance. The principle applications of the statistical method to quality control are the following: To problems of quality of design.The foundation for Statistical Process Control was laid by Dr. Walter Shewart working in the Bell Telephone Laboratories in the 1920s conducting research on methods to improve quality and lower costs. He developed the concept of control with regard to variation, and came up with Statistical Process Control Charts which provide a simple way to.
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