Computational Intelligence Techniques for New Product Design (Studies in Computational Intelligence, 403)

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. Front Matter....Pages 1-12 Integrated Product Design....Pages 1-24 Computational Intelligence Technologies for Product Design....Pages 25-57 Determination of Importance of Customer Requirements Using the Fuzzy AHP Method....Pages 59-77 An Enhanced Fuzzy AHP Method with Extent Analysis for Determining Importance of Customer Requirements....Pages 79-93 Development of Product Design Models Using Classical Evolutionary Programming....Pages 95-109 Development of Product Design Models Using Fuzzy Regression Based Genetic Programming....Pages 111-128 Generalized Fuzzy Least Square Regression for Generating Customer Satisfaction Models....Pages 129-143 An Enhanced Neuro-fuzzy Approach for Generating Customer Satisfaction Models....Pages 145-162 Optimization of Customer Satisfaction Using an Improved Simulation Annealing....Pages 163-176 An Enhanced Genetic Algorithm Integrated with Orthogonal Design....Pages 177-197 A Nonlinear Fuzzy Regression for Developing Manufacturing Process Models....Pages 199-212 Rule Extraction from Experimental Data for Manufacturing Process Design....Pages 213-228 Conclusion and Future Work....Pages 229-236 Back Matter....Pages 0--1 Using computational intelligence in product design is a fast-growing and promising research area in computer sciences and industrial engineering. These assembled papers from the CIMA 2010 workshop cover the full spectrum of topics in this exciting field.