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research-article

Exploring Effective Change Propagation in a Product Family Design

[+] Author and Article Information
Inayat Ullah

Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29 Yudao Street, Qinhaui District, Nanjing 210016, Jiangsu, China
anykhattak@yahoo.com

Dunbing Tang

Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29 Yudao Street, Qinhaui District, Nanjing 210016, Jiangsu, China
d.tang@nuaa.edu.cn

Qi Wang

Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29 Yudao Street, Qinhaui District, Nanjing 210016, Jiangsu, China
wq001115@126.com

Leilei Yin

Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29 Yudao Street, Qinhaui District, Nanjing 210016, Jiangsu, China
yllwyp@163.com

1Corresponding author.

ASME doi:10.1115/1.4037627 History: Received January 04, 2017; Revised July 31, 2017

Abstract

In today's environment, product family design (PFD) is a dominant strategy in the industry to meet the diversified design requirements. The prediction of change propagation in product family (PF) is a challenging task. Researchers have proposed numerous design change management methodologies, but they are restricted to a single artifact. This paper suggests a framework, which explores effective change propagation paths (CPPs) by considering the risk associated with design changes in the PF, with the aim to minimize the overall cost of redesign. The propagated risk, which would result in rework, is quantified in terms of change impact and propagation likelihood. Design structure matrix (DSM) based mathematical model and an algorithm are proposed to investigate the change propagation across the PF. Finally, to demonstrate the implementation of advanced mathematical model and algorithm, the PF of electric kettles is taken into consideration. The outcomes reveal that the proposed technique is appropriate for evaluating different CPPs in PF with additional information, i.e., the number of design elements and change steps involved in change propagation.

Copyright (c) 2017 by ASME
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