CASE STUDY 05
Solving a Quality Problem by Fixing the Supply Chain Behind It
Supplier Quality, Root-Cause Analysis & Forecasting | FDA-Regulated Medical Device
Customer complaint trend reversed | Measurable quality controls established | Supply planning and supplier coordination improved
The Challenge
Customer complaints were increasing on a well-established FDA-regulated medical device manufactured in China using specialized wood supplied by a U.S. lumber mill. Consumers reported that the wooden picks were breaking during use.
The factory blamed the lumber. The lumber mill blamed the factory. Distance, time-zone differences and a language barrier made resolving the problem even more difficult.
I decided we needed to understand both ends of the supply chain firsthand.
What We Found
I traveled first to the lumber mill and the surrounding forest where the trees were harvested and learned that raw-material selection was far more important than it appeared. Harvesting season, the portion of the tree used, growth-ring characteristics, grain direction, moisture and density all affected how the wood processed and the strength of the finished pick.
There was also a planning problem. Without an adequate annual forecast, the mill couldn't reserve enough of the appropriate winter-cut material. Additional requirements often had to be purchased on the spot market, contributing to higher costs, late deliveries, production backlogs and additional quality pressure.
What appeared to be a defective-material problem was actually a combination of raw-material selection, quality control, forecasting and supplier coordination.
What We Did
I traveled next to the manufacturing facility in Shanghai and spent a week on the production floor. Working with the factory team, we translated what we had learned into measurable requirements for critical dimensions, growth-ring characteristics, grain direction, moisture and density.
Go/no-go gauges and inspection criteria were used from incoming lumber inspection through key production stages, giving operators objective standards for evaluating material and work-in-process.
We also established a 12-month forecast each fall, allowing the lumber mill to reserve the appropriate winter-cut material for the following year's requirements. Forecasting became part of the quality-control system, not simply a purchasing tool.
The Result
Better forecasting allowed the lumber mill to plan its raw-material requirements more efficiently and reduce reliance on higher-cost spot purchases. At the factory, measurable specifications and process controls improved raw-material consistency and finished-product quality.
Most importantly, the upward customer-complaint trend was reversed, and two suppliers that had been blaming one another were now working from common requirements and a shared demand plan.