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01.09.2017 | Original Article | Ausgabe 5/2017

Chinese Journal of Mechanical Engineering 5/2017

Design Change Model for Effective Scheduling Change Propagation Paths

Zeitschrift:
Chinese Journal of Mechanical Engineering > Ausgabe 5/2017
Autoren:
Hai-Zhu Zhang, Guo-Fu Ding, Rong Li, Sheng-Feng Qin, Kai-Yin Yan
Wichtige Hinweise
Supported by National Natural Science Foundation of China (Grant Nos. 51305367, 51575461), and Doctoral Student Innovation Funds for Hai-Zhu Zhang from Southwest Jiaotong University, China.

Abstract

Changes in requirements may result in the increasing of product development project cost and lead time, therefore, it is important to understand how requirement changes propagate in the design of complex product systems and be able to select best options to guide design. Currently, a most approach for design change is lack of take the multi-disciplinary coupling relationships and the number of parameters into account integrally. A new design change model is presented to systematically analyze and search change propagation paths. Firstly, a PDS-Behavior-Structure-based design change model is established to describe requirement changes causing the design change propagation in behavior and structure domains. Secondly, a multi-disciplinary oriented behavior matrix is utilized to support change propagation analysis of complex product systems, and the interaction relationships of the matrix elements are used to obtain an initial set of change paths. Finally, a rough set-based propagation space reducing tool is developed to assist in narrowing change propagation paths by computing the importance of the design change parameters. The proposed new design change model and its associated tools have been demonstrated by the scheduling change propagation paths of high speed train’s bogie to show its feasibility and effectiveness. This model is not only supportive to response quickly to diversified market requirements, but also helpful to satisfy customer requirements and reduce product development lead time. The proposed new design change model can be applied in a wide range of engineering systems design with improved efficiency.

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