Forecasting Tool
Financial planning for a manufacturing facility relies on mathematical predictions of how much material will be lost during the production process. Effective scrap rate modeling incorporates historical data and machine performance metrics to estimate the total yield of a production run. This calculation allows the factory to order the correct amount of raw material and set accurate pricing for the customer.
Variable Input
Factors such as the complexity of the design and the age of the equipment influence the likelihood of a defect occurring. In scrap rate modeling, a high layer count or a very fine pitch increases the expected loss percentage. The model also accounts for the specific tolerances of the inspection equipment, such as automated optical inspection and flying probe testers.
Budget Analysis
Variance between the predicted and actual yield is analyzed to identify the root cause of production failures. If the results from scrap rate modeling are consistently lower than reality, it indicates a need for process improvement or equipment maintenance. Reducing the gap between these figures is a primary goal for the operations manager.
This analysis ensures that the cost of wasted material does not erode the profit margin of the project. A detailed model can pinpoint which specific stage of the factory floor is responsible for the highest number of rejected parts.