Dziuban, Stephen T. (1993, ASQC) Logicon RDA; Colorado Springs, CO
Statistical problem solving is essential to manufacturing a competitive product, and training should give employees the qualifications, motivation, and experiences to make improvements. A process improvement course for non-statisticians should teach what statistical tools to use, how to use software, and how to use the tools to improve processes. Vital to this is a step by step problem solving approach that analyzes real problems. The course should cover techniques the participants will need in the sequence in which they will be used. For example, a trainer could set up a scenario using actual industrial data; show how software supports the statistical technique; and brainstorm process improvement opportunities on these data. Training should simulate real operations. Therefore, because modern problems are solved on computers, the course should provide extensive access to computers and appropriate software. It is best that a participant handles problems from start to finish, and that the problem solving be interactive. Simulation software can help with this, and an example shows how a simulated factory is used to model various process improvement studies. In one organization this training led to identification of one factor that was causing 74% of the variability in their product.
Empowerment,Human resources (HR),Manufacturing,Process improvement,Statistical process control (SPC)