About the role
Intern Project Description(s):
- Conduct MOST time and motion study, and compare to existing time study data for one or more operations.
- Review & analyze cell-specific downtime and maintenance data for applicability of several analysis paradigms:
o Hidden Markov Model for key equipment failures.
o Seasonality for performance of machines.
- Plan and execute a Design Of Experiments study for internal die resync hardness testing.
- Identify opportunities for dashboard automation.
- Analyze and create a dashboard tracking the impact of Preventative Maintenance on machine tool life.
Project Supervisor:
Saamir Rahman
Special Skills or Experience Needed:
MOST training, some statistics and DOE awareness.
Number of Students Preferred:
1
Will this internship be paid, or unpaid? If paid, please indicate rate.
Paid, $20/hr. 8-12 hrs/week, ideally onsite but that could be every other week as needed.
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