Quality Control

This book is about optimizing the parameters that affect the output. The model is needed for the best productions and less errors in outputs. In order to do this, first of all Kullback Liebler Divergence is used to identify the distance between pattern distribution and actualized distribution of an output. Secondly, Artificial Neural Network Model is proposed to find a solution to the problem and bring pattern and actualized distribution of an output to the closest position. Reader can find the way of solving the business, manufacturing, and educational problems by statistical and analytical means. This method is very important from the management point of view in order to reach the targeted outputs, productions etc.

Autorentext

Ahmet Demir was born in 1986 in Turkey. He got his PhD in Georgia in 2015. He has participated at conferences in Turkey, Thailand, Italy, Lithuania, Portugal, Bulgaria, Iraq etc. He has delivered Special seminars in Georgia and Iraq about Total Quality Management and Data Analysis.