A costly training mistake: How data-driven decisions save time and money.
Problem: Scrap rate on the Plasma Cutting line increases.
Initial solution: Manager assumes operator error and schedules costly retraining for all operators, losing production time.
The better approach: Utilize “Scrap by Operator” or “Scrap by Machine” KPIs to identify the root cause:
- Scrap by Operator: Reveals Operator #4 is responsible for 75% of the scrap, suggesting targeted retraining or reassignment.
- Scrap by Machine: Identifies Machine #3 as responsible for 90% of the scrap, prompting a focused maintenance intervention.
Benefit: Data-driven decision-making saves time, money, and avoids unnecessary production disruptions.