Digital Transformation
This intensive course provides an in-depth understanding of the latest technologies and tools that help companies with their digital transformation. The program focuses on several core areas within manufacturing, logistics and process optimization, with a strong focus on integrated software solutions and digital innovations. The course is designed for professionals who want to learn how to streamline and automate business processes and make data-driven decisions to increase efficiency and productivity.
For whom
This upgrade training is designed for trainees who have already completed their Green or Black Belt training. This training is ideal for process improvers, data analysts, and project managers who want to combine their knowledge of Lean Six Sigma with digitization and data science.
Objective
This training aims to provide participants with a general knowledge of the latest technologies and methods to increase productivity in an operational environment. During the training, participants gain knowledge and skills about digital technologies such as EAS, IoT, RPA, and Predictive Analytics. After the training, participants will be able to automate processes, make data-driven decisions, and make their organization more efficient and agile in a rapidly changing environment.
Content
The following topics will be covered:
Integrated Enterprise Applications Software (EAS).
- Manufacturing Execution System (MES) & ERP: Learn how MES and ERP systems work together to optimize manufacturing processes and provide real-time supply chain visibility.
- Software Integration (APIs): Understand how APIs connect systems for efficient data flows between software applications.
- Database Types: Introduction to different database types and how they are used for data storage and management within enterprise environments.
Productivity Boosting Tools
- Process Mining (Disco): Discover how process mining helps visualize and improve business processes through data-driven insights.
- Low Code Platforms & Microsoft Power Apps: Quickly create applications without extensive programming knowledge and improve productivity using low-code platforms.
- Task Mining & Robotic Process Automation (RPA): Automate routine tasks with RPA and use task mining to identify process optimization opportunities.
- Digital Work Instructions: Digitize work instructions to reduce chances of error and ensure consistency in execution.
- ChatGPT in Continuous Improvement & Co-pilot: Meet AI solutions such as ChatGPT and learn how these tools can contribute to continuous process improvements.
- Digital Dashboards (Power BI): Visualize and analyze data with Power BI to make better, data-driven decisions.
Digital Factory
- Internet of Things (IoT): connect devices and systems together for real-time data and insights in production environments.
- 5G Private Network: Understand the benefits of a private 5G network for digitizing factories and industrial environments.
- Advanced Predictive Analytics: Use advanced data analysis techniques to recognize patterns and perform proactive maintenance and production planning.
- Real-time SPC (Statistical Process Control): Learn how real-time statistical process control helps improve quality and efficiency in manufacturing processes.
Digital Logistics
- Digital Customer Order: Digitize the entire order processing process and improve customer order efficiency.
- Track & Trace: Optimize shipment visibility and inventory management with track & trace solutions.
- Process Mining for Logistics: Analyze and improve logistics processes using process mining.
- Horizontal Integration: Understand the integration of systems and processes across business functions to create more efficient workflows.
- Blockchain in Logistics: Discover how blockchain technology can contribute to secure and transparent supply chains.
Adaptive Robust Processes
- Factory Simulation: Use simulations to model, analyze and optimize manufacturing processes.
- Digital Twin: Create digital twins of physical processes and systems to monitor and optimize performance in real time.
- Cyber Physical Systems: Learn how physical and digital systems can be integrated to support flexible and intelligent manufacturing processes.
- Configuration Systems: Understand the role of configuration systems in customizing products and streamlining manufacturing processes.
Duration
The duration of this training is 2 days.
The investment for this two-day training is €1,195 (excluding VAT).
This amount includes:
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Comprehensive handouts and training materials
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Lunch on both days
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Coffee, tea and other refreshments
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Certificate of Attendance
Participants will receive a certificate of participation.