Introduction to Logistics 4.0 with Digital Control and Process Automation

Course overview

Control Logistics + Digitalization + Automation + AI This training course provides knowledge about modern logistics processes and their digital control. The focus is on the application of automation technologies and artificial intelligence to optimize logistics operations. Participants will learn to efficiently apply digital skills in logistics. Module 1: Introduction to Logistics Module 2: Digital Skills in Logistics Module 3: Introduction to AI-Supported Automated Goods Receipt Module 4: Basics of Control Technology Introduction to Logistics and Control Understanding logistics systems: Basic concepts, core functions, and the role of logistics in industrial value chains. Material and information flows: Basic knowledge of logistics networks and control mechanisms in the Industry 4.0 environment. Organization & Control: Strategic planning of transports, container management, and load carriers. Digital technologies: Introduction to logistics software, automation solutions, and data analytics including digital twins. Digital Skills in Logistics Digital planning tools: Use of software for project structuring, scheduling, and resource management. Virtual collaboration: Effective communication and coordination via digital platforms. Project monitoring: Use of dashboards, KPIs, and automated reporting for control. Supply chain reference: Application of digital methods for complex logistics and IT projects. Introduction to AI-Supported Automated Goods Receipt Artificial intelligence: Use of machine learning and image analysis for goods identification and inspection. Process automation: Integration into warehouse management systems and ERP to minimize manual interventions. Anomaly detection: Real-time monitoring for automatic error and deviation detection. Practical examples: Implementation in modern goods receipt facilities and best practice methods. Basics of Control Technology Basics of control: Distinction between control and regulation, building logical connections. Circuit diagrams & process controls: Development of control plans, time and step controls. PLC reference: Integration into programmable logic controllers for automated processes. Upon completion of the training, participants will be able to apply digital technologies and AI in logistics processes. They will master automation methods and can apply control technology in various industrial contexts.

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-09-12T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-12T22:00:00.000Z · Wuppertal · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-12T22:00:00.000Z · Wiesbaden · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-12T22:00:00.000Z · Ulm, Donau · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-12T22:00:00.000Z · Saarbrücken · Combined Learning