Program Overview
This course equips automotive OEM manufacturing teams with the knowledge and skills to harness IoT technologies for enhanced traceability, real-time monitoring, and predictive maintenance. Designed for maintenance, methods and plant machine manufacturing professionals, the program blends conceptual insights with practical applications. Participants will explore IoT ecosystems, learn to implement traceability solutions, and analyze real-world use cases from top automotive OEMs. With interactive exercises and hands-on demos, this course empowers teams to design and deploy IoT strategies that optimize operations and drive data-driven decision-making in manufacturing.
Features
- Understand IoT's role in enhancing traceability and operational efficiency in manufacturing.
- Apply IoT for real-time monitoring, predictive maintenance, and process optimization.
- Gain hands-on experience with IoT tools, devices, and data analytics platforms.
- Develop actionable IoT implementation strategies tailored to manufacturing needs.
Target audiences
- Quality & Maintenance Teams
- Methods Team
- Manufacturing Professionals
Curriculum
- 8 Sections
- 32 Lessons
- 2 Days
Expand all sectionsCollapse all sections
- Introduction to IoT and Traceability5
- 1.1Overview of IoT in Manufacturing
- 1.2Importance of traceability in automotive manufacturing
- 1.3Key IoT components: sensors, devices, connectivity, and platforms
- 1.4Benefits of IoT in maintenance and plant operations
- 1.5Group discussion: Identify current challenges in traceability and brainstorm how IoT can address them
- IoT Architecture and Data Flow4
- Traceability Solutions with IoT3
- IoT for Predictive Maintenance4
- Setting Up IoT Devices and Sensors4
- Analytics and Insights with IoT Data4
- Real-World IoT Use Cases4
- Building an IoT Roadmap for Your Plant4
Instructor
