In general usage, design of experiments (DOE) or experimental design is the design of any information-gathering exercises where variation is present, whether under the full control of the experimenter or not. In the design of experiments, the experimenter is often interested in the effect of some process or intervention (the "Factor/Treatment") on some objects (the "experimental units"), which may be people, parts of people, groups of people, plants, animals, etc. Design of experiments is thus a discipline that has very broad application across all the natural and social sciences and engineering.

Therefore, there is a need for carrying out a series of experiments to screen and identify the important factors effecting the result that requires investment for each experimental run. An effective way to screen variables is to use Super-Saturated Design (SSD). Smart Design offers you optimal SSD solutions for two level and multi-level factors. Carrying out experiments using these designs when appropriate, can help you to gain an insight about the impact of each parameter in an experimental setup and therefore facilitate quality improvement, forecasting, optimization, scheduling, supply chain management and various other applications.