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Computational Intelligence Techniques for New Product Design

  • Conference proceedings
  • © 2012

Overview

  • Recent research on Computational Intelligence Techniques for New Product Design
  • Discusses applications of Computational Intelligence to Product Design
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 403)

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Table of contents (13 papers)

Keywords

About this book

Applying computational intelligence for product design is a fast-growing and promising research area in computer sciences and industrial engineering. However, there is currently a lack of books, which discuss this research area. This book discusses a wide range of computational intelligence techniques for implementation on product design. It covers common issues on product design from identification of customer requirements in product design, determination of importance of customer requirements, determination of optimal design attributes, relating design attributes and customer satisfaction, integration of marketing aspects into product design, affective product design, to quality control of new products. Approaches for refinement of computational intelligence are discussed, in order to address different issues on product design. Cases studies of product design in terms of development of real-world new products are included, in order to illustrate the design procedures, as well as the effectiveness of the computational intelligence based approaches to product design. This book covers the state-of-art of computational intelligence methods for product design, which provides a clear picture to post-graduate students in industrial engineering and computer science. It is particularly suitable for researchers and professionals working on computational intelligence for product design. It provides concepts, techniques and methodologies, for product designers in applying computational intelligence to deal with product design.

Authors and Affiliations

  • , Digital Ecosystems and Business, Curtin University of Technology, Perth, Australia

    Kit Yan Chan, Tharam S. Dillon

  • , Department of Industrial and Systems, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

    C.K. Kwong

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