From scrap heap to strategy: How empowered teams turned small data into $36K per week in savings

Overview

In high-technology, low-volume medical device manufacturing, every failure carries significant cost. In this case, a 20 percent failure rate on a single component line was driving $36,000 per week in scrap.

This session shares how a cross-functional team used accessible, visual analytical tools to quickly identify root causes and reduce scrap. By combining exploratory data visualization, resampling techniques and simulation, the team developed a practical screening strategy that improved outcomes without requiring large datasets.

Beyond the technical solution, this session highlights how putting intuitive tools in the hands of engineers closest to the work accelerated decision-making and strengthened capability across the team. Participants will see how enabling practitioners—not just specialists—to analyze data can lead to faster insights, reduced risk and more effective problem-solving.

Attendees will leave with practical approaches to apply data-driven methods in complex environments, even when data is limited.

Key Learning Objectives

Apply visual and analytical tools to identify failure drivers in complex processes

Use resampling and simulation techniques to make decisions with limited data

Empower frontline teams to analyze data and solve problems more effectively

Reduce scrap and improve outcomes without waiting for large datasets