Advanced Multiresponse Process Optimisation

1. Front Matter

   Pages i-xvii

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2. Introduction

   • Tatjana V. Šibalija, Vidosav D. Majstorović

   Pages 1-20

3. Review of Multiresponse Process Optimisation Methods

   • Tatjana V. Šibalija, Vidosav D. Majstorović

   Pages 21-63

4. An Intelligent, Integrated, Problem-Independent Method for Multiresponse Process Optimisation

   • Tatjana V. Šibalija, Vidosav D. Majstorović

   Pages 65-164

5. Implementation of the Intelligent Method for Multiresponse Process Optimisation

   • Tatjana V. Šibalija, Vidosav D. Majstorović

   Pages 165-260

6. Discussion and Future Research

   • Tatjana V. Šibalija, Vidosav D. Majstorović

   Pages 261-283

7. Concluding Remarks

   • Tatjana V. Šibalija, Vidosav D. Majstorović

   Pages 285-289

8. Back Matter

   Pages 291-298

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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.

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

• Faculty of Information Technology, Metropolitan University, Belgrade, Serbia

  Tatjana V. Šibalija

• Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia

  Vidosav D. Majstorović

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