Industrial Engineering Intern: Lean & Data-Driven Manufacturing

Texas Instruments

Dallas (TX)

Sur place

USD 25 000 - 36 000

Plein temps

14 jours+

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Résumé du poste

Texas Instruments in Dallas / Richardson / Sherman, TX is seeking an Industrial Engineering Intern to support manufacturing operations and Lean initiatives. You will work alongside experienced Industrial Engineers, participate in 5S activities, and analyze cycle times using Factory Physics concepts.

Opportunities exist to develop simple applications and automate data extraction to drive throughput improvements.

Qualifications

  • Pursuing a bachelor’s degree in Industrial Engineering or related field.
  • Familiar with 5S and Lean manufacturing concepts.
  • Ability to analyze data and report findings clearly.
  • Willingness to collaborate with cross-functional teams and engineers.

Responsabilités

  • Support FAB capacity modeling activities.
  • Assist in equipment throughput analysis in clean room environments.
  • Participate in production scheduling and dispatching rule development.
  • Gather information to understand capacity and production impact.
  • Collect and validate performance data from automation and system logs.
  • Assist in automating data extraction and manufacturing processes.
  • Extract and analyze large data sets for throughput impact.
  • Work in teams and collaborate with colleagues from different functions.
  • Basic coding opportunity to develop applications supporting manufacturing needs.

Connaissances

5S & Lean manufacturing
Data analysis
Report generation
Team collaboration
Basic coding

Formation

Pursuing a bachelor’s degree in Industrial Engineering

Description du poste

Texas Instruments in Dallas / Richardson / Sherman, TX is seeking an Industrial Engineering Intern to support manufacturing operations and Lean initiatives. You will work alongside experienced Industrial Engineers, participate in 5S activities, and analyze cycle times using Factory Physics concepts.

Opportunities exist to develop simple applications and automate data extraction to drive throughput improvements.

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