Abstract: Disclosed is a computer-implemented method of generating a plurality of selectable design experiments in a design of experiments (DOE) process for analyzing at least one data set from a process to determine a relationship of a plurality of process factors of interest to a process output of interest. The method entails receiving as user input into a computing apparatus, a base number of trials and a number of center point trials. From the computing apparatus, a graphical user interface is generated on a display connected with the computing apparatus. This includes presenting a display containing a plurality of experiment each defined, at least partially, by a combination of number of replicates (replicates count) and effect size. The display further includes a predicted power value for each combination of replicates count and effect size.

Abstract: A computing system is disclosed having one or more processors, a display, and a memory coupled to the one or more processors. In this computing system, the memory stores program instructions executable by the one or more processors to display a graphical user interface on the display. The graphical user interface includes at least one user interface data object associated with a stored data set and displaying visual attributes corresponding to properties of the data set, including an attribute corresponding to data type.

Abstract: A method for measuring and reducing the cost of complexity in producing products or providing a service by comparing selected non-value added steps in the manufacturing or service process with the number of different products or services provided, so as to provide the non-value added cost of the product or service for various selected complexities. The number of products required to be processed or held in inventory for a particular demand, or the number of different specific services required for a particular demand of the service is determined by comparing the number of different product part numbers, or service categories offered, with selected non-value added steps in the respective processes. Mathematical analyses are derived from equations of motion of process improvement including the first derivative of process velocity.