Experience

Price Industries

Manufacturing Engineering Intern | Atlanta, GA | May 2023 - Aug 2023

I supported robotic assembly optimization by combining simulation, SPC data, and practical fixture design to improve cycle time and process reliability on the manufacturing floor.

Impact Highlights

21 minutes cycle time reduction

±0.3 mm assembly tolerance maintained

What I Did

At Price Industries, I supported manufacturing engineering efforts for robotic assembly by combining modeling, data, and practical tooling to improve cycle time and reliability on the floor. I built MATLAB simulation models to optimize robotic work cell cycle times, incorporating statistical process control (SPC) data to pinpoint bottlenecks and guide improvements. These changes reduced total assembly time by 21 minutes.

To improve consistency in robotic stations, I designed and built a testing jig using first-principles engineering to ensure parts were presented with correct orientation and stability for vision-system recognition. The jig was designed to maintain assembly tolerances within ±0.3 mm while improving repeatability and reducing station-level variability. This balanced real-world manufacturing constraints with robust automation design so the cell could run faster and more reliably.

Skills & Tools

MATLAB Simulation Modeling Robotics Work Cells SPC Bottleneck Analysis Vision Systems Jig/Fixture Design First Principles Manufacturing Engineering

Process

Step 1

Discover

I used SPC trends and floor observations to identify bottlenecks and station-level variability.

Step 2

Design

I built MATLAB cycle-time simulations and designed fixtures for reliable part orientation and handling.

Step 3

Validate

I verified tolerance control and repeatability, confirming ±0.3 mm alignment capability at the station level.

Step 4

Deploy

I rolled model- and tooling-driven improvements into production to reduce cycle time and improve reliability.

Artifacts

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MATLAB Model

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Testing Jig

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SPC Bottleneck Chart

Key Takeaways

I strengthened how I combine simulation and process data to drive practical cycle-time reduction.
I improved fixture design decisions that directly affect robotic vision reliability and repeatability.
I gained stronger judgment balancing first-principles engineering with manufacturing-floor constraints.