Process Capability Analysis

Process Capability Analysis


Capability analysis is a computational method for comparing the output of a manufacturing process to its engineered specification limits. “Process Capability Analysis” starts at the beginning of how manufacturing processes are developed and analyzed.

This set of tools can be applied to product characteristics such as its size, weight and hardness, or to process characteristics such as temperature, voltage or flow and are essential for new process development, 6-sigma projects, Statistical Process Control, and process monitoring

This course covers the basic and advanced concepts of capability analysis along with it applications and math (both in Excel and Minitab). You will learn practical tips and strategies.

In addition, you will get

  • Two Assignments for your practice and solution keys to check
  • All Analysis Practice  – Follow the Instructor step by step and do it on yourself
  • Download more than 6 practice dataset files

Basic Concepts covered:

  • Process Capability
  • Indices – Cp, Cpk, Cpm, Z Scores
  • Long term/Short term Capability
  • Interpretation & Improvement Strategies
  • Conduct Process Capability Study
    • Step by Step Procedure
    • Pre-requisites Testing – Normality and Stability
    • MS-Excel Based Calculation

Advanced Concepts

  • Decision with skewed data, outliers, non-normal, not able to identify distribution, defects & defectives data
  • Detailed Minitab based treatments
  • Types of Process Capability
    • Normal Process Capability – Observed, Overall
    • Within/Between
    • Weibull Process Capability
    • Binomial Process Capability
  • Data Transformation
    • Box-Cox Transformation
    • Johnson Transformation
    • Lambda Hyper tuning

What you’ll learn

  • Basic Concepts of Process capability – Cp, Cpk, Pp,Ppk, Cpm, Z Scores, USL, LSL
  • Step by Step Process to conduct study – Analysis in MS-Excel & Minitab
  • Process Capability Concepts – Normality, Stability, Six Pack Analysis, Long Term Vs Short Term, Observed, Expected, Overall, Within, Z Bench
  • Data Transformation Techniques – Box-Cox and Johnson Transformation, Hypertuning Lambda
  • Decisioning which Process Capability Study to perform for all practical challenging situations – Normal, Weibull, Binomial
  • Lot of Practice Files and Practical Improvement Strategies/Tips


  • Minitab (Trial Access)

Who this course is for:

  • Process Engineers & Manufacturing Managers
  • Quality Engineers
  • Supply Chain Managers
  • Business Excellence and Process Improvement Professionals across sectors

Also, if you are studying for your ASQ CQE, CQT or CQIA exams, this is essential material. 

Course Information

Estimated Time: 1.5 Hrs | 18 Lectures | Intermediate | Price: $15