Table of Contents
Table of Contents
Preface
Chapter 1. A Brief Note on Quality Loss Functions Used in Quality Engineering
(Onur Köksoy, Statistics Department, Ege University, İzmir, Turkey)
Chapter 2. The Taguchi Loss and Inverted Loss Functions
(Matei Demetrescu, Adrian Stere Paris and Constantin Târcolea, Institut für Statistik and Ökonometrie, Christian-Albrechts-Universität, Kiel, Germany, and others)
Chapter 3. Physical Model of the Quality Policy
(Peter Eniko and Davorin Kramar, Difa d.o.o., Skofja Loka, Slovenia)
Chapter 4. From Taguchi’s Orthogonal Arrays to Full Factorial Designs and Back
(Zorica A. Veljković, Slobodan LJ. Radojević and Vesna K. Spasojević Brkić, University of Belgrade, Faculty of Mechanical Engineering, Belgrade, Serbia)
Chapter 5. The Quality Loss Function-Based Approach for Discrete Multiresponse Process Parameters Optimization
(Tatjana V. Sibalija, Belgrade Metropolitan University, Belgrade, Serbia)
Audience
– Researchers and scholars in applied and industrial statistics, industrial engineering, manufacturing engineering, quality engineering, control and management, engineering optimization, operations management, applied mathematics, decision making and econometrics
– Engineers and practitioners that apply statistics to solve a real industrial problems, including industrial engineers, manufacturing engineers, quality engineers and managers, production managers, data analysts and operations managers
Keywords
Taguchi’s quality loss function, Design of experiments, Process parameters optimization, Quality policy, Quality engineering