With CETOL 6σ, engineers can cast a “strategic net” by using SENSITIVITY DATA. Sensitivity data identifies the most sensitive areas of an assembly. In CETOL 6σ, this would include dimensions and assembly process variation like the variation involved in welding. With knowledge of the failure condition discovered in the field, the engineer can review a current CETOL 6σ analysis, create a new analysis, or simply add a measurement to the existing analysis that represents the failure mode. The analysis can then be rerun, with sensitivity data calculated in a matter of seconds, or a couple minutes for extremely large analyses.
By ranking sensitivity data in Pareto fashion, users of CETOL 6σ can quickly identify what areas of the assembly to investigate. For the data on the right, it makes sense to begin investigating the top eight sensitivities since the next highest sensitivity is approximately 9 times smaller. Our customer is able to identify the true root cause issue more quickly and accurately, thus minimizing several important considerations including downtime for the customer, cost of repair, and avoidance of future warranty claims.
By using this process, our customer estimates a savings of over $4 million per year.