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Advanced Multiresponse Process Optimisation

An Intelligent and Integrated Approach

  • Tatjana V. Šibalija
  • Vidosav D. Majstorović

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Tatjana V. Šibalija, Vidosav D. Majstorović
    Pages 1-20
  3. Tatjana V. Šibalija, Vidosav D. Majstorović
    Pages 21-63
  4. Tatjana V. Šibalija, Vidosav D. Majstorović
    Pages 165-260
  5. Tatjana V. Šibalija, Vidosav D. Majstorović
    Pages 261-283
  6. Tatjana V. Šibalija, Vidosav D. Majstorović
    Pages 285-289
  7. Back Matter
    Pages 291-298

About this book

Introduction

This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.

Keywords

Artificial Intelligence Techniques Complex Manufacturing Processes Multiresponse Optimisation Multivariate Statistical Methods Taguchi's Robust Parameter Design

Authors and affiliations

  • Tatjana V. Šibalija
    • 1
  • Vidosav D. Majstorović
    • 2
  1. 1.Faculty of Information TechnologyMetropolitan UniversityBelgradeSerbia
  2. 2.Faculty of Mechanical EngineeringUniversity of BelgradeBelgradeSerbia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-19255-0
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-19254-3
  • Online ISBN 978-3-319-19255-0
  • Buy this book on publisher's site