Management / Project Management

Statistical process control (SPC) and digital data analysis - digital tools for quality and production

The two-day workshop training (16 hours) combines the theory of statistical process control with the practical use of modern digital tools for analyzing and interpreting production data. The program covers topics ranging from the basics of statistics through advanced methods of process capability analysis to the automation of real-time data collection and processing. Participants work on real production data, using specialized SPC software, allowing for immediate translation of theory into industrial practice. Special emphasis is placed on interpreting results and making decisions based on statistical analysis.

Issues

Fundamentals of statistical process control
Data collection and validation systems
Control cards and their use
Process capability indicators
Analysis of the causes of process variability
Techniques for detecting trends and patterns
SPC data visualization tools
Automation of statistical analysis
Integration of process data
Predictive quality analysis
SPC reporting and dashboards
Data-driven decision making

Benefits

Develop practical skills for using statistical tools in daily work
Acquire the ability to interpret process data using modern digital tools
Methods for effective implementation of an SPC system in a production environment
To gain the knowledge to make decisions based on statistical analysis
Create and interpret advanced quality reports
Improve the efficiency of the quality control process through the use of automation and predictive analytics

Who is this training for?

Quality engineers responsible for monitoring production processes

Process improvement and lean manufacturing specialists

Production technologists involved in process optimization

Employees of quality control departments

Process engineers responsible for production stability

Data analysts in the area of production and quality

Production managers overseeing process efficiency

Supplier quality assurance specialists

Prerequisites

Basic knowledge of descriptive statistics
Experience working in a production environment
Ability to think logically and analytically
Knowledge of basic quality issues

Training program

Descriptive statistics and their importance in process control
Distributions of process variables and their interpretation
Digital production data collection systems

Selection of appropriate types of control cards
Implementation of control cards in information systems
Analysis of trends and patterns on control cards
Automatic detection of special signals

Indicators of process capability in a digital environment
Assessing the stability and predictability of processes
Modeling and simulation of manufacturing processes
Real-time monitoring of process capability

Integration of data from various production sources
Creating interactive SPC dashboards

Predictive process quality analysis

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) and digital data analysis - digital tools for quality and production we recommend: Basic knowledge of descriptive statistics; Experience working in a production environment; Ability to think logically and analytically.

What is the format and duration of this training?

The training lasts 2 days 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 monitoring production processes; Process improvement and lean manufacturing specialists; Production technologists involved in process optimization.