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Computational Intelligence and Neuroscience
Volume 2014, Article ID 240828, 13 pages
http://dx.doi.org/10.1155/2014/240828
Research Article

Modeling Design Iteration in Product Design and Development and Its Solution by a Novel Artificial Bee Colony Algorithm

1College of Computer Science & Information Engineering, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China
2Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China

Received 18 June 2014; Accepted 21 August 2014; Published 6 November 2014

Academic Editor: Qiang Cheng

Copyright © 2014 Tinggui Chen and Renbin Xiao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Due to fierce market competition, how to improve product quality and reduce development cost determines the core competitiveness of enterprises. However, design iteration generally causes increases of product cost and delays of development time as well, so how to identify and model couplings among tasks in product design and development has become an important issue for enterprises to settle. In this paper, the shortcomings existing in WTM model are discussed and tearing approach as well as inner iteration method is used to complement the classic WTM model. In addition, the ABC algorithm is also introduced to find out the optimal decoupling schemes. In this paper, firstly, tearing approach and inner iteration method are analyzed for solving coupled sets. Secondly, a hybrid iteration model combining these two technologies is set up. Thirdly, a high-performance swarm intelligence algorithm, artificial bee colony, is adopted to realize problem-solving. Finally, an engineering design of a chemical processing system is given in order to verify its reasonability and effectiveness.