Design Change Model for Effective Scheduling Change Propagation Paths

• Published in: Chinese journal of mechanical engineering 2017-09, Vol.30 (5), p.1081-1090
• Main Authors: Zhang, Hai-Zhu, Ding, Guo-Fu, Li, Rong, Qin, Sheng-Feng, Yan, Kai-Yin
• Format: Article
• Language: English
• Subjects: Customer satisfaction; Design parameters; Domains; Electrical Machines and Networks; Electronics and Microelectronics; Engineering; Engineering Thermodynamics; Heat and Mass Transfer; High speed rail; Instrumentation; Lead time; Machines; Manufacturing; Mathematical models; Mechanical Engineering; Original Article; Power Electronics; Processes; Product development; Propagation; Requirements specifications; Scheduling; Systems design; Theoretical and Applied Mechanics; Undercarriages; 产品开发; 传播路径; 复杂产品; 工程系统设计; 模型; 行为矩阵; 设计变更; 调度
• ISSN: 1000-9345; 2192-8258
• DOI: 10.1007/s10033-017-0169-2

Changes in requirements may result in the increasing of product development project cost and lead time, therefore, it is important to understand how require- ment 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-Be- havior-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 require- ments 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.