Production Process Improvement & OEE

In automotive manufacturing, process performance is a system problem. A change to a fixture, tool, work instruction, or inspection method can affect cycle time, scrap, uptime, and the operator’s ability to build the part consistently.

This case study reflects the process-engineering work I do in a production environment: turning shop-floor observations and production data into practical improvements that the team can sustain.

The problem

The first step is making the gap visible. I use time studies, cycle-time tracking, scrap reports, and production feedback to identify where a line is losing capacity or quality. This helps separate a true process constraint from a symptom such as missing tooling, an unclear work instruction, or an inconsistent setup.

Improvement workflow

Map the process and establish a baseline for cycle time, downtime, scrap, and first-time quality.
Identify bottlenecks and high-scrap operations through data review and direct observation.
Work with production and planning to confirm priorities, tooling, documentation, and material availability.
Use 8D analysis and corrective actions to address root causes instead of repeatedly containing the same defect.
Review PFMEA risks and update risk priority numbers when process results change.
Improve fixtures, tools, and tool holders in SolidWorks with manufacturability and operator access in mind.
Maintain process documentation through engineering change requests and production feedback.

What I learned

The most useful improvement is one that survives the handoff to production. That means combining engineering analysis with clear documentation, practical tooling, and communication with the people who run the process every day. It also means measuring the result after implementation so a good idea becomes a repeatable standard.

This work connects design engineering to the metrics that matter on the floor: availability, performance, quality, cost per piece, and the stability of the process over time.