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Title: AI-based methodology of integrating affective design, engineering, and marketing for defining design specifications of new products
Authors: Kwong, CK 
Jiang, H 
Luo, XG 
Issue Date: Jan-2016
Source: Engineering applications of artificial intelligence, Jan. 2016, v. 47, p. 49-60
Abstract: In the early stage of product design, particularly for consumer products, affective design, engineering, and marketing issues must be taken into considerationand they are commonly performed respectively by product designers, engineers, and marketing personnel. However, they have different concerns and focuses with regard to the new product design. Thus, these three processes are commonly conducted separately, leading to a sub-optimal and even sub-standard design. Such scenario indicates the need to incorporate the concerns of the three processes in the early stage of product design. However, no study has explored the incorporation of the concerns of the three processes into the product design. In this paper, an artificial intelligence (AI)-based methodology for integrating affective design, engineering, and marketing for defining design specifications of new products is proposed by which the concerns of the three processes can be considered simultaneously in the early design stage. The proposed methodology mainly involves development of customer satisfaction and cost models using fuzzy regression, generation of product utility functions using chaos-based fuzzy regression, formulation of a multi-objective optimization model and its solving using a non-dominated sorting genetic algorithm-II (NSGA-II). A case study was conducted for electric iron design to evaluate the effectiveness of the proposed methodology.
Keywords: Affective design
Chaos optimization algorithm
Fuzzy regression
Marketing
NSGA-II
Publisher: Pergamon Press
Journal: Engineering applications of artificial intelligence 
ISSN: 0952-1976
EISSN: 1873-6769
DOI: 10.1016/j.engappai.2015.04.001
Rights: © 2015 Elsevier Ltd. All rights reserved.
© 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Kwong, C. K., Jiang, H., & Luo, X. G. (2016). AI-based methodology of integrating affective design, engineering, and marketing for defining design specifications of new products. Engineering Applications of Artificial Intelligence, 47, 49-60 is available at https://doi.org/10.1016/j.engappai.2015.04.001
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