Statistical process control (SPC), MSA and capability 2

This is an advanced course and the second of three within the topic of measurement system analysis, control charts and process capability indices. This module build on the Statistical process control (SPC), MSA and capability 1 module, which is the introductory module within this topic and is a prerequisite for this module. It focuses on more applied statistical tools needed for analysing process performing and controlling processes. The classical textbook approach from module 1 has its limitations and may not be sufficient when working with data heavy real world challenges.

You will learn to choose the right control chart for different scenarios, even in the case of non-normal distributed processes with either batch to batch or systematic sources of variation in subgroups. You will also learn to choose the right capability index suitable for any distribution of data and state of control. The course focuses on a unified approach, demonstrating a control chart and a capability index that can be used in any scenario.

Target group

This course is relevant if you are working with qualification of measurements and production processes, process performance, production trending and batch release. You want to be able to use the statistical tools behind Measurement System Analysis, Control Charts and Process Capability Indices independently in real life challenges.

If you are participating in a Six Sigma Green Belt or Black Belt course, this module will be voluntary. The covered tools will become useful when working with data analysis on your DMAIC project.

Your benefits

After participating in this course, you will be able to 

  • Decide on a sufficient sample size for data-based decisions
  • Link acceptance quality limit
  • AQL with severity risk and verification level
  • Understand why AQL based ISO sampling plans do not make sense
  • Perform a measurement systems analysis with inhomogeneous variance
  • Use the right control chart for different scenarios and data set e.g. non-normal distributed data, attribute data, systematic variation in sub-groups and batch differences
  • Analyse process performance and capability with non-normal distributed data

This course incorporates theory with practical exercises and active participation with the intent of providing you with an operational toolbox of applied data analysis within measurement system analysis, control charts and process capability indices.

 Content

  • Variance component with confidence intervals
  • MSA - Kappa test
  • MSA - precision tolerance ratio with inhomogeneous variance
  • Predictions intervals on standard deviations
  • Control chart - non-normal distributed data
  • Control chart - with batch difference
  • Control chart - with systematic variations
  • Control chart - attribute data
  • Capability for non-normal distributed data
  • ISO 2859 and 3951 statistics
  • Linking AQL severity risk and verification level

Software

The preferred software for this course is JMP from SAS and the instructors will demonstrate all of the exercises in JMP. You are also welcome to use Minitab for the exercises where it is possible and will still be able to receive assistance from our instructors.

However, even if you are currently not a JMP user, we recommend you to install JMP on your computer before participating in the advanced courses, since some of the exercises will only be possible to perform with JMP.

Advanced courses

This is an advanced course and the second of three within the topic of measurement system analysis, control charts and process capability indices. The next level module in within this topic is the following.

The module Statistical process control (SPC), MSA and capability 1 is the introductory module within this topic and is a prerequisite for this module.

If you want to devote more focus on the development of performance and processes, you can get inspiration from methodical courses, such as Process and Risk Management or Analyse and Design Processes.

Furthermore, you have the opportunity to continue your education as a Six Sigma Green Belt or Black Belt, and become more competent and able to optimise, lead and develop processes.

Practicalities

Venue: NNE's headquarters, Bredevej 2, 2830, Virum, Denmark

Price: DKK 6,000 + VAT (includes course materials, refreshments and lunch)

Language of instruction: The course will be held in English unless all participants speak and understand Danish

Duration: 1 day

Course dates in 2018

  • March 1
  • May 17
  • September 6
  • November 15

 

Sign up for the course