A catapult. Searching optima using Factorial Designs and 2D-neural network mapping technique a tutorial

The goal of this paper is to represent the feed forward bottle neck neural network (FFBN NN) mapping technique in comparison with traditional statistical method like Factorial Design (FD). Application of both methods provides more information about studied process and enable to establish certificate limits more affectively reaching to best quality and selecting the less cost processes. The represented FFBN NN mapping technique is simple in use, not time consuming and gives 2D visualization of multiple optima in studied technological processes. A catapult design was applied to illustrate the cases and purposes where proposed method can be implemented. The FFBN NN mapping technique can be recommended for use in industries including application in Six Sigma improvement phase.