SPC, or statistical process control, is a framework embedded with the statistical tools used to monitor, control, and improve processes.
Conceptually, it applies the statistical technique to control the processes to improve their reliability and predictability.
What is data?
Data is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things.
Any and every piece and form of information.
What is Data Analysis?
The collection of structured data – preferably of samples – arranging and visualising data, fitting a statistical model to the data and inferring or predicting the population’s behaviour or the future.
Data Analysis helps in solving business problems using limited structured data and statistics. Data analysis could be done using simple spreadsheets like MS – Excel or analysis software like Minitab, JMP, etc.
Principles of SPC
1. Every process has variations
2. Operators were reacting to every variation from the target measurement by adjusting the process (say machine setting).
3. Those adjustments cause more deterioration – making processes worse instead of improving them.
4. Continuous measurement of such parameters will help operators to understand the process variations.
5. Once the process owners understand its inherent variations, they can decide when to adjust a process and leave it untouched.
Course Objectives
Understanding the basics of Statistics
Central tendency
Dispersion of data
Populations and Samples
Descriptive and Inferential Statistics
Understanding the Measurement System, Variations in Measurement Systems and analysing it
Interpreting data to understand the voice of the process
Understanding the differences between common cause and special cause variation
Analysing process variation
Understanding the characteristics of a normal distribution and how to use a normal curve in estimating the proportion of product that meets specifications
Concluding using data
Getting to know how control charts and histograms aid in assessing process capability and how to use sample data in estimating population characteristics
Understanding the need and method of calculating the capability of processes
Utilising SPC
Types of control charts
How to monitor processes using control charts
Use of variable control charts
Course Structure
The 2 day workshop is designed in a way to cover the statistical tools used in different stages of SPC.
Perfectly balanced with the required amount of theory and statistics, the significance of analysis tools, hands-on with Minitab / excel with examples and exercises.
Course Contents
Day 1
Intro to Statistics
Basics of Statistics
Types of DataProperties of data – central Tendency & Dispersion
Understanding Statistics
Descriptive Statistics
Inference from Data
Probability Distributions
Inferential Statistics
Measurement System Analysis
Why MSA?
Gage R&R
Voice of Process
Understanding the Behaviour of collected data
Trends & Patterns in Data
Trend Analysis
Test for Normality
Minitab Tools
Descriptive Statistics, Gage R & R, Time Series Chart, Control Charts, Normality Test, Capability Analysis, Cp & Cpk, DPMO, Standard Normal Distribution (Z)
Day 2
Data Analysis
Basic Data Analysis Tools
Histogram
Pareto Analysis
Box Plot
Process Variation & Capability
Variation & its consequences
Variation – Stability Analysis
Process Capability
Control Charts
Chart for Individual Values
Chart for Variables (subgroup)
Specific uses of other control charts
Minitab Tools
HistogramPareto ChartBox PlotI ChartI – MR Chart, X bar R Chart, N Chart, P Chart, NP Chart, U Chart
Note: The contents can be customised based on your requirements.
To whom will it be useful?
The basic SPC training program of 2 days (this workshop) is a comprehensive training for engineers, supervisors and middle-level managers aiming to clarify statistical concepts and know-how of statistical process control (SPC) tools and techniques.
Workshop Methodology
CSense Workshop approach is based on scientifically proven methodologies of Learning, which includes
Learning by Listening – Classroom sessions.
Learning by Doing – Hands-on Support in applying the learning, pilot applications – with Minitab / Excel.
By admin
June 21, 2021
