Industrial Engineering Intern — Lean & Data Analytics

118-WW TMG MFG OPS; South Portland (ME); On-site; USD 25,000 - 30,000; Full time

Job summary

118-WW TMG MFG OPS is seeking an Industrial Engineering Intern to help evaluate and support manufacturing operations. You will work side-by-side with experienced Industrial Engineers on 5S and Lean activities, and you will identify cycle-time improvements using Factory Physics theories and standard software to analyze performance gaps.

Responsibilities include capacity modeling, throughput analysis in the clean room, production scheduling, data collection and validation, automated data

Qualifications

• Currently pursuing a B.S. in Industrial Engineering, Systems Engineering, Manufacturing Engineering, or Operations Research.
• Minimum 3.0/4.0 GPA.
• Ability to work in clean room environment wearing smock.

Responsibilities

• Support FAB capacity modeling activities
• Assist equipment throughput analysis in clean room environment
• Participate in production scheduling and dispatching rules development
• Gather information required to understand capacity analysis and production impact
• Collect and validate operational performance data via strong analytic methods on automation and system logs to analyze throughput impact of various process requirements
• Support automating data extraction and manufacturing processes
• Extract and analyze large data sets
• Work in teams and collaborate effectively with people in different functions
• Basic coding opportunity to develop applications supporting manufacturing needs

Skills

Analytical skills

Problem solving

Verbal communication

Written communication

Teamwork

Time management

Initiative

Adaptability

Education

B.S. in Industrial/Systems/Manufacturing Engineering

Job description

118-WW TMG MFG OPS is seeking an Industrial Engineering Intern to help evaluate and support manufacturing operations. You will work side-by-side with experienced Industrial Engineers on 5S and Lean activities, and you will identify cycle-time improvements using Factory Physics theories and standard software to analyze performance gaps.

Responsibilities include capacity modeling, throughput analysis in the clean room, production scheduling, data collection and validation, automated data