Management / Process Management

Statistical Process Control (SPC).

Statistical Process Control (SPC) training introduces participants to the world of advanced methods for monitoring and improving manufacturing processes. In an intensive workshop, participants learn practical applications of statistical tools in quality control, with a focus on process variation analysis and control card interpretation. The program combines statistical theory with practical examples of the use of Minitab software, enabling immediate application of the knowledge gained in an industrial environment.

Issues

Analysis of the variability of the production process
Methods of statistical description of data
Normal distribution and its applications
Process and machine capability indicators
Construction and interpretation of control cards
Measurement Systems Analysis (MSA)
Sampling and data collection techniques
Detecting trends and patterns in the process
Statistical methods for assessing stability
Analysis of special causes
Application of Minitab
Data-driven process optimization

Benefits

A thorough understanding of statistical methods of process control allows effective identification and elimination of sources of variability in production processes
Practical knowledge of process data analysis techniques leads to accurate operational decisions based on statistical facts
Mastery of the methodology for constructing and interpreting control charts enables early detection of process disturbances and prevention of production of nonconforming products
The acquired knowledge of process capability indicators translates into effective planning of improvement activities and process optimization
The ability to use Minitab in practice increases the efficiency of daily work with process data
A deeper understanding of statistical methods leads to a significant reduction in costs associated with process shortages and variability

Who is this training for?

Quality engineers responsible for stabilizing production processes

Technologists involved in optimizing process parameters

Process improvement specialists implementing quality control systems

Production managers interested in reducing process variability

Quality department employees performing process capability analysis

Operations managers responsible for process efficiency

Production data analysts using statistical methods

Prerequisites

Basic knowledge of mathematical statistics Experience in working with production processes Ability to interpret numerical data Knowledge of basic quality concepts

Training program

Variability. Basic statistical analysis of data (statistical description of variability) - Process definition. - Variability - reducing variability is improving quality. - Random and special causes of variability, the concept of stable (under control) and deregulated (out of control) process. - Techniques for recording and analyzing variability - statistical analysis of data. - Statistical description of variability - determination and interpretation of descriptive parameters (mean, median, interval, moving interval, standard deviation, skewness, kurtosis, etc.), histogram construction (selection of the number of intervals), normal distribution.

Process/machine capability - Calculation and interpretation of process capability coefficients by basic strategy (Cp, Cpk, Pp, Ppk). - Calculation and interpretation of machine capability coefficients Cm, Cmk. - Evaluation of process/machine capability in case of distributions other than normal distribution. - Process capability in case of alternative evaluation. - GRR Destructive testing (ANOVA Nested) - Exercise and discussion panel - Using Minitab as a calculation example.
Process flow charts, control charts as tools for process monitoring and improvement. - Process flow charts vs. control charts. - Shewhart control cards. - General principles of Shewhart control cards (three-sigma of the card, methods of card construction, errors of inference, adaptation of the card to the process). - Construction of Shewart's control cards for measurable characteristics (stabilization method i.e. on the basis of initial process data, design method i.e. on the basis of quality conditions imposed on the process) - mean value and spread card, mean value and standard deviation card, median and spread card, single observation and moving spread card). - Calculation of process capability coefficients Cp, Cpk on the basis of control cards for measurable characteristics. - Principles of optimal card selection and use: sample size selection, sampling frequency, sampling methods, criteria for identification of process upset (principles of reading control cards) - signals, trends, series, periodicity, role and importance of warning lines - Control cards for attribute evaluation: fraction of nonconforming units p, number of nonconforming units np, number of nonconformities c, number of nonconformities per unit u. - Exercise and discussion panel - Using Minitab as a calculation example.

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Statistical Process Control (SPC). we recommend: Basic knowledge of mathematical statistics Experience in working with production processes Ability to interpret numerical data Knowledge of basic quality concepts.

What is the format and duration of this training?

The training lasts 1 day and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Quality engineers responsible for stabilizing production processes; Technologists involved in optimizing process parameters; Process improvement specialists implementing quality control systems.