Statistical Process Control (SPC) and Quality Control (QC)

The terms Statistical Process Control (SPC) and Quality Control (QC) are often (erroneously) used to mean the same thing. Quality Control has traditionally been used to “inspect in” the quality of a product or process after the product has been produced. For example sampling goods as they come off the factory line or chemicals as they come out of a reacting vessel to identify when processes are not working correctly.
SPC is a technique where the input parameters in a process are controlled, as it is these which ultimately control the quality of the product. For this reason statistically designed experiments form an important part of any SPC programme ensuring the key process parameters are identified in advance and maintained in control using other SPC techniques.
There is a range of tools used in SPC, nearly all with a foundation in statistics, which apply an understanding of variation and how it behaves in real processes. The goal is to keep the variation, which always exists in processes, within the bounds determined by the demands of our customer.
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Tools commonly used in SPC include:

Fishbone or Ishikawa diagrams
Control Charts
Checksheets
Pareto Diagrams
Designed Experiments
Process Capability Studies
Sampling Plans

 

INTRODUCTION

QUALITY IMPROVEMENT

SIX SIGMA

PRIMME METHOD

PROJECT MANAGEMENT

STATISTICAL SUPPORT

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