Quality

Statistical Methods for Product and Process Monitoring

SPL | 4 days

Overview

Wherever products and processes are tested and monitored, the use of statistical methods is necessary to make decision-relevant statements. This course is designed for practitioners who have to work with test data on site. They learn the theoretical background of statistical methods to the extent necessary for practical implementation.

Requirements

Basic mathematical knowledge

Target group

Foremen, group leaders, skilled workers and contact persons involved in the provision of products and services, as well as employees from manufacturing and service companies.

Content
  • Introduction to Statistics
  • Basics of probability
  • Hypergeometric Distribution, Binomial Distribution, Poisson distribution, Normal Distribution
  • Parameters of the Frequency Distribution
  • Error band and confidence interval
  • Sampling
  • Statistical Process Control (Control Card Technique)
  • Process capability
  • Exercises
Note
  • The use of a notebook(with Microsoft Excel®) is recommended for the practical exercises during training. Notebooks will not be provided. If a notebook is not available, a smartphone or calculator with the statistical functions "mean value " and "variance s" are also possible.
  • This course can be credited to replace the course Statistical Methods for Decision making (QME) in the series of courses Quality Management (QM).

Events

Statistical Methods for Product and Process Monitoring
22.05.2023 to 25.05.2023
TECHCENTER Linz-Winterhafen
Hafenstrasse 47-51
4020 Linz
 2.588,00Regular price
excl. 20% VAT
Statistical Methods for Product and Process Monitoring
13.11.2023 to 16.11.2023
Hotel Ibis Styles Graz Messe
A.R.F. Projekt Baugesellschaft m.b.H.
Waltendorfer Gürtel 8-10
8010 Graz
 2.588,00Regular price
excl. 20% VAT

Please note that deviations from the new course program may arise in terms of content and participation fees.

Our experts

Impartial. Competent. Trustworthy.

Team

Ms. Dr. Anni Koubek

Executive Vice President Innovation, Business Development Certification Quality

Network partner

Portraintfoto von Johann Russegger

Mr. Johann Russegger, MBA

Network partner, Product Expert Trainings Integrated Management System, Quality

Network partner

Mr. Michael Lucyshyn

Network partner, Product Management Six Sigma and Statistics

Network partner

Ms. Dr. Eugenia Soboleva, MBA

Network partner, Product Expert Laboratories

+43 732 34 23 22