Best data collection strategies

A statement often heard from deployment leaders of Lean Six Sigma (LSS) and Design for Six Sigma (DFSS) goes something like this: “our people don’t need to know Design of Experiments (DOE) because almost everyone here is involved in transactional processes.”

That is an unfortunate perspective, because such knowledge deprivation will be a limiting factor in the overall success a LSS or DFSS rollout will ultimately have. Such a statement also reflects on the knowledge that a deployment leader has about DOE. Almost any LSS or DFSS leader or champion will support the fact that data collection is an integral part of all LSS and DFSS initiatives and that data collection can be expensive.

Then why would we not want the best data collection methods available for our people to use? DOE is a data collection strategy. In fact, it is one of the best data collection strategies available anywhere, because it provides more information per data point collected than almost any other method. It also allows the practitioner to evaluate the effects of factors independently. I am not sure that even established practitioners of DOE truly understand the power of being able to evaluate the effects of factors and their interactions independently from one another.
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