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.

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?