Industry 4.0 digital champion program
In depth training program for managers, senior engineers in manufacturing companies who would need to demystify Industry 4.0 i.e. Fourth industrial revolution and bring that to reality by executing SMART Manufacturing projects from concept to commissioning
An engaging program is required to create champions of Industry 4.0 There is an opportunity for Learning & Development (L&D) to engage the managers for longer duration and make positive impact on their careers and leverage it for organization’s growth prospects
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Program outcome
After attending this program, the participant should be able to
- Explain the concepts of IoT, IIoT, Industry 4.0 & SMART Manufacturing Elaborate the fundamentals and building blocks of SMART Factory Narrate various Industry 4.0 applications & use cases
- Explain the terminologies and technologies deployed in Industry 4.0 applications Present business aspects of Industry 4.0 applications
- Analyze where and why to implement Industry 4.0 solutions
- Visualize all organizational aspects for Industry 4.0 implementation Visualize your own role in planning and execution of Industry 4.0 Identify challenges and opportunities of Industry 4.0
- Strategize about how to create environment in organization that supports Industry 4.0 initiatives
- Recognize ways to influence organization for Industry 4.0 implementation
- Participate and lead implementation of Industry 4.0 initiatives
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Foundation module
Engagement Model: Webinar: 1 hour; E Learning Modules ; ILT: 06 Days; Project Assignments: 03 Weeks, Demos & Practicals
Pedagogy: Webinar, E learning, Presentations, Videos, Case Studies, Tutorials, Group Discussions, Product Demonstrations, Project Assignments, Quizzes, Group Presentation, Evaluation, Study Material, Questions & Answers, Hands on Practical
Contents
- Industry 3.0 vs Industry 4.0; IoT vs IIoT
- Case studies of solutions for Maintenance, Productivity, Quality improvement
- Expectations of stakeholders of I 4.0
- I 4.0 Architectures
- Data Routes – Networking components
- Components of I 4.0 Solution (BOM)
- Linking of field side devices to the cloud account and data transfer trials
- Machine Learning – Generic Overview
- Artificial Intelligence Concepts
- Machine Learning Concepts
- Cloud basics, Cloud Platforms
- Data Storage; Analytics / Stream Analytics
- Cloud requirements for I 4.0
- Justifying the costs of cloud solutions
- Overview of Security Aspects of Industry 4.0
- Overview of blockchain
- Digital Twin concepts
- Application of I 4.0 for HR/Logistics/Purchase
- ROI justification for I 4.0 solution
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Champion module
Engagement Model: Webinar: 1 hour; E Learning Modules ; ILT: 06 Days; Project Assignments: 03 Weeks, Demos & Practicals
Pedagogy: Webinar, E learning, Presentations, Videos, Case Studies, Tutorials, Group Discussions, Product Demonstrations, Project Assignments, Quizzes, Group Presentation, Evaluation, Study Material, Questions & Answers, Hands on Practical
Contents
- Revision of Module 1 & 2
- Application based customized development
- Python Programming, Numerical Python
- Data visualization using Python, Exploratory analysis using Python
- Digital Twin Concepts
- Applications of digital twin
- End to End I 4.0 Solution
- Digital Twin experiments
- Participants working on end to end set up
- VR & AR technologies and applications
- VR & AR Demonstrations
- Deep Learning Concepts
- Introduction to Tensorflow
- Case study example of Deep Learning
- Hands on Deep Learning
- HACKATHON
- Project Presentations
- Hackathon Presentations
- Award Ceremony
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Learning objectives
- Articulate how Industry 4.0 differentiates from earlier industrial revolutions, especially Industry 3.0
- Elaborate hierarchical structure of automation and control systems Explain Industry 4.0 concepts and its architectures
- Analyze implemented automation in manufacturing systems
- Describe the concept of connected factory as a core element of Industry 4.0
- List potential challenges and opportunities of Industry 4.0
- Identify the preparation needs of Industry 4.0
- Develop and build I 4.0 applications from concept to commissioning
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Practitioner module
Engagement Model: Webinar: 1 hour; E Learning Modules ; ILT: 06 Days; Project Assignments: 03 Weeks, Demos & Practicals
Pedagogy: Webinar, E learning, Presentations, Videos, Case Studies, Tutorials, Group Discussions, Product Demonstrations, Project Assignments, Quizzes, Group Presentation, Evaluation, Study Material, Questions & Answers, , Hands on Practical
Contents
- Industry 3.0 vs Industry 4.0; IoT vs IIoT
- Data Routes – Networking components
- Components of I 4.0 Solution (BOM), Networking components
- Variety & Selection of right database for I 4.0 solution
- Communication Interface & Protocols: MQTT, HTTP, CoAP, MT Connect
- Data Connectivity and storage using other methods: Wi-Fi, BLE, OPC technology
- Machine Learning – Generic Overview
- Artificial Intelligence Concepts, Machine Learning Concepts
- Decision making algorithms overview (Neural Network, Fuzzy); Implementation of decision: Manual/Automatic/Semi automatic
- Analytics Use cases of Machine learning
- Digital Twin Concepts, Applications of digital twin
- Hands on with Machine learning algorithms
- Applying the algorithm for prediction
- Machine Vision; What is Machine vision (Generic & Industrial Applications)
- Role of Machine Vision in I4.0 context
- Machine Vision vis-à-vis other technologies (RFID & other)
- Light Guided System
- Solution architecture
- Analytics / Stream Analytics
- Detailed Solution covering Architecture, Technologies, BOM, KPIs, Results
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Highlights of program
1. Setups and software using IoT Gateways + software
2. Setups &Solutions including Edge Gateways and Cloud Based Software
3. Setup showcasing End to End I 4.0 Solution
4. Condition Based Monitoring Setup
5. Blended Learning
6. eLearning Modules
7. Pre Course Assessments via LMS
8. During Course Assessments
9. Demonstration & Hands on Practical on Hardware & Software
10. International Speakers via Webinars
11. Lab using Cloud & Other Platforms
12. Mentoring by Experts who have mentoring experience for various manufacturing industries
13. Optional Mentoring & Consultancy engagement possible during Real Life Project Execution
14. Faculty who have themselves developed I 4.0 products and already implemented I 4.0 Solutions across industries.
15. Faculty having 30 plus years’ industry & academia experience
16. Co-learning sessions
17. Project Assignments
18. HACKATHON