Quality Management 4.0

Goals & Benefits

In quality management, Industry 4.0 / IoT offers a wide range of possibilities for further improving existing processes beyond known methods. In-line quality control is of particular importance here, as it uses direct feedback to upstream process steps to automatically avoid errors before they occur. As a result, OEE and quality rates are improved and operator effort is reduced.

Contents

The training imparts the theoretical basics of process data acquisition, pattern recognition and preventive error avoidance. The use of sensor technology, communication technology, analytics, etc. is taught using practical examples and exercises.

• Distinction between In-Line and Ex-Post Quality Control
• In-Line Quality Control
  • Design agile and fast quality control loops
  • Evaluate field and process data in real time
  • Detect deviations and identify cause
  • Derive measures
  • Use of mobile devices
  • Poka-yoke through augmented reality
• Ex-Post Quality Control
  • Ensure data availability
  • Evaluate data and recognize patterns
  • Six Sigma 4.0
• Success factors and challenges

Prerequisites

Basics of quality management

Target group

• Top Management
• Middle Management
• Professionals and managers from corporate development / strategy

Duration

2 days

Number of participants

5-10 participants

Price

We will be happy to provide you with an individual offer