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Statistical Process Control

Statistical Process Control


Statistical process control techniques are widely used in the organizations to monitor the process behaviour and applying suitable controls to maintain process within defined limits. This two days interactive course shall orient participants to the statistical process control basics - understand concepts of variation, how to judge process behaviour, and how to apply suitable controls. 
 
The objective of this training is to equip the participants with in-sight view and total exposure to the concept, requirements and practices of Statistical Process Control as referred in AIAG Manual.
 
QGS has designed two Days training to guide industry understand and deploy SPC in their newly developed processes and existing processes 

 

Key Learning:
  • Historical background and pre-requisites
  • Understanding voice of the process;
  • Concepts of Variation-Common & Special Causes, not all special causes are detrimental
  • Process behaviour-location, spread and shape, normal distribution
  • Interpreting Distribution shapes
  • Control Charts-Principal of control charts, type of control charts
  • Preparatory steps for control charts
  • Average and range control chart- Precondition, Initial data collection, Limit Calculation, Limit Validation
  • Ongoing controls
  • Process capability study-concepts of Cp, CpK, 
  • Capability Vs performance-concepts of Pp & PpK
  • Individual and moving range charts-Precondition, Initial data collection, Limit Calculation, Limit Validation
  • Ongoing controls
  • Attribute control charts (P & nP)-Precondition, Initial data collection, Limit Calculation, Limit Validation
  • Process capability study for attribute charts
  • Attribute control charts (C & U)-Precondition, Initial data collection, Limit Calculation, Limit Validation
  • Situation and process specific Control charts- Stop Light, Pre Control, DNOM chart, Standardized X Bar- R & Standardized Attribute Chart

Pedagogy:

  • Classroom training on basics & illustrative examples.
  • Practice through practical exercises (Control Plan)
  • Participants are recommended to bring Computer loaded with MS Excel for best learning.

Who Must Learn?
 
• Technical Managers / Engineers
• Design Managers
• Quality Managers
• Production Managers
• Design Engineers
• Quality Engineers
• Production Engineers
• Quality Control Executives
• Production Executives
• Quality Engg. (e.g. APQP) Team

 

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