Logistics 4.0: Visualization and Digital Process Management

Course overview

Logistics + Digitalization + Robotics + Quality Management This training course provides knowledge about modern logistics systems and their digital transformation. Topics such as robotics programming, IT integration, and quality documentation are covered to enhance efficiency and transparency in logistics. Module 1: Basics of Logistics Module 2: Introduction to Programming Robotic Systems with ROS Module 3: Basics of Error Reporting Systems and Quality Documentation Basics of Logistics Introduction to Logistics Systems: Overview of basic logistics concepts, functions, and the importance of logistics in industrial value chains. Processes & Networks: Fundamentals of material and information flows, logistics concepts, and control models in the context of Industry 4.0. Planning & Organization: Logistics planning, load carrier management, route planning, and container management as strategic elements of modern logistics. IT & Digitalization: Basics of logistics IT, automation, data analysis, and future technologies such as digital twins and smart logistics. Safety & Regulations: Initial insights into protective regulations, packaging basics, customs processes, and legal aspects in logistics. Introduction to Programming Robotic Systems with ROS ROS Basics: Structure, middleware functionality, and communication mechanisms. Programming: Creation and management of nodes, topics, and services. Simulation Tools: Use of Gazebo and Rviz for visualization and testing of robotics applications. Use Cases: Control of autonomous vehicles and gripping systems in logistics. Basics of Error Reporting Systems and Quality Documentation Error Capture: Digital reporting systems for deviations in incoming goods. Documentation: Protocols, inspection reports, and digital tracking. Quality Management: Integration into existing QM systems and ERP. Transparency: Seamless traceability for audits and supplier feedback. Upon completion of the training, participants will be able to optimize digital logistics processes, program robotic systems, and effectively integrate error reporting systems into quality management systems.

Upcoming dates

• 2026-09-29T22:00:00.000Z · 2026-11-09T23:00:00.000Z · München · Combined Learning
• 2026-09-29T22:00:00.000Z · 2026-11-09T23:00:00.000Z · Wuppertal · Combined Learning
• 2026-09-29T22:00:00.000Z · 2026-11-09T23:00:00.000Z · Wiesbaden · Combined Learning
• 2026-09-29T22:00:00.000Z · 2026-11-09T23:00:00.000Z · Ulm, Donau · Combined Learning
• 2026-09-29T22:00:00.000Z · 2026-11-09T23:00:00.000Z · Saarbrücken · Combined Learning