Manufacturing IE Intern: Lean & Data-Driven Improvement

SoLa Impact, LLC

Los Angeles (CA)

On-site

USD 26,000 - 37,000

Full time

4 days ago
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Benefits offered by this job

Paid vacation
Medical insurance
Dental insurance
Life insurance
Paid holidays

Job summary

Model/Z is seeking an Industrial Engineering Intern to support manufacturing operations with focus on efficiency, process improvement, and optimization. You will work with production, manufacturing engineering, quality, and supply chain to analyze processes, identify bottlenecks, and develop data-driven solutions to improve safety, quality, delivery and cost.

Ideal candidates study Lean, time studies, capacity analysis, line balancing, standard work, process mapping, and production data analysis

Qualifications

  • Bachelor's degree in Industrial Engineering or related field is required.
  • AutoCAD experience preferred and familiarity with layouts.
  • Strong data analysis and process improvement skills.

Responsibilities

  • Assist Manufacturing Engineers to establish practices for fast, high-quality output.
  • Support layout and flow to enable efficient product flow and scale over time.
  • Assist with test activities, BOM development, and design integration.
  • Develop work instructions and MES routing workflows.
  • Help design tools, jigs, and fixtures to speed processes.
  • Conduct time/processing studies to set standards and labor needs.
  • Support shop floor with issue resolution and feedback.
  • Collaborate with Engineering, Quality, Procurement and Production to meet goals.
  • Complete additional tasks and projects as assigned.

Skills

Excel data analysis
Problem solving
Time studies
Capacity planning
Line balancing
Process mapping
Production data analysis
Lean manufacturing
Analytical thinking

Education

Bachelor's Degree in Industrial Engineering
Systems/Operations Engineering related
AutoCAD knowledge

Tools

AutoCAD
Excel
Power BI

Job description

Model/Z is seeking an Industrial Engineering Intern to support manufacturing operations with focus on efficiency, process improvement, and optimization. You will work with production, manufacturing engineering, quality, and supply chain to analyze processes, identify bottlenecks, and develop data-driven solutions to improve safety, quality, delivery and cost.

Ideal candidates study Lean, time studies, capacity analysis, line balancing, standard work, process mapping, and production data analysis

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