Preparing future workforce ready for industry 4.0 @ Oakland University
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Fourth Industrial Revolution has already made its mark, specially in Michigan state. Industry 4.0 is the buzz word everybody is interested in. Oakland University has been helping students attain skills that prepare them for Industry 4.0. Learn about the courses, taught at Industrial and Systems Engineering department, that teaches many PLM software as listed below; - Teamcenter - Plant Simulation - Process Simulate - Jack This presentation focuses more on how students use Plant Simulation and Jack as a problem solving tool.
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Preparing future workforce ready for industry 4.0 @ Oakland University
- 1. Preparing future workforce ready for Industry 4.0 (Focus: Plant Simulation and Jack Simulation)
- 2. Industrial & Systems Engineering @ Oakland University (OU)
- 3. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 3 Author / Department Industrial & Systems Engineering @ Oakland University (OU) • Industrial and Systems Engineering B.S.E. • Industrial and Systems Engineering M.S. • Engineering Management M.S. • Systems Engineering M.S. • Systems Engineering Ph.D. • Productivity Improvement Certificate
- 4. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 4 Author / Department Industry 4.0 Tools Teamcenter Jack Plant Simulate Process Simulate - Robotics MindSphere SIMATIC IT
- 5. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 5 Author / Department Hands-on Course Plant Simulation • PLM Applications – Throughput Simulation Process Simulate - Robotics • PLM Applications – Robotics Jack • PLM Applications – Ergonomics Teamcenter • PLM Applications – Product Data Management • PLM Applications – Change Management • PLM Applications – Manf. Process Planning
- 6. Lab Assignments for Undergrad Students
- 7. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 7 Author / Department Assignments & Manuals Model Building Statistical Analysis of data Conclusion/ Decision Collect Output data Learning Roadmap
- 8. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 8 Author / Department Modelling In Jack
- 9. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 9 Author / Department Simulation
- 10. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 10 Author / Department Result Analysis
- 11. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 11 Author / Department Static Model Dynamic Models Dice roll model Service type model Manufacturing line Model Building In Plant Simulation
- 12. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 12 Author / Department Data collection and statistical analysis Manufacturing line model Buffer analysis experiment design Results: • Output Data • Statistical Analysis • Conclusion
- 13. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 13 Author / Department Learning Outcomes 1 2 3 4 5 When is DES appropriate? • Stochastic, Dynamic and Discrete behavior • Complex systems Representing randomness in DES model • Probability distribution represent the randomness in a process Model building including Simtalk Verification and validation of model Report visualization and statistical analysis Ability to think as problem solver6
- 14. Future Direction for ISE @ OU
- 15. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 15 Author / Department Future Direction 1 2 3 Process simulate human replacing jack simulation 3D visualization of models New plant simulation models/lab assignments • More exposure to Simtalk • Simulation of more complex systems
- 16. Unrestricted © Siemens AG 20XX YYYY-MM-DDPage 16 Author / Department About Speaker Umang Tuladhar M.S. in Industrial and Systems Engineering Oakland University Graduate Teaching Assistant
- 17. Questions?
Notas do Editor
- Applicable to both Jack and Plant Sim Report Submission
- Sum of outcomes of 2 dices that has 4 faces Bank or Resturant Flow Line