When to Utilize Design of Experiments (DOE)Įxperimental design or Design of Experiments can be used during a New Product / Process Introduction (NPI) project or during a Kaizen or process improvement exercise.

So what can be done to predict how a set of changes will likely affect the process output? Design of Experiments (DOE) is a statistical tool available to engineers that can be used to evaluate single changes or multiple changes to a process at once and predict the resulting change to the output of the process. If you have multiple changes occurring at one time you could be multiplying your risk. They must evaluate every change and how it could affect the process output. Engineers must use various analysis tools and statistical methods to reduce risk in a design or process. Product validation testing and prototype production runs are effective, but costly and in many cases problems are detected late in the development process. The amount of new content can be equated to the level of risk in the design or process. Every time we change a design or process we introduce new content. With new products come new or changed processes. In addition, a great number of manufacturers are constantly developing new products to gain a foothold in other markets.

Many companies today are frequently re-designing their products in an attempt to make their product stand out from the crowd. If you look at many industries today you see similar products being offered by multiple manufacturers. Introduction to Design of Experiments (DOE)

What is the meaning of doe