Design Change Model for Effective Scheduling Change Propagation Paths

1. School of mechanical engineering, Southwest Jiaotong University, China Design Change Model for Effective Scheduling Change Propagation Paths Zhang Haizhu Email: zhanghaizhull@163.com

2. Table of Contents Introduction 1 Design change model and propagation analysis 2 Case study —High speed train’s bogie 3 Conclusions 4

3. Introduction The global competition in the market place for products motivates manufacturing firms to quickly develop products with improved performance and quality at lower costs. Design changes are key driving factors of product evolution. Understanding how and why changes propagate during the engineering design process is critical because most products and systems emerge from predecessors and do not through clean sheet design. An effective and controlled design change is helpful to satisfy customer requirements, reduce product defects, improve product quality, and promote product innovation.

4. Table of Contents Introduction 1 Design change model and propagation analysis 2 Case study —High speed train’s bogie 3 Conclusions 4

5. Design change model and propagation analysis The reasons for design change

6. Design change model and propagation analysis Relationships of change dependency analysis, change processing analysis and change executing.

7. Design change model and propagation analysis Design change modeling Design change initiate layer Modeling? Requirements Structure Design change executive layer

8. Design change model and propagation analysis The design change model based on PDS-Behavior-Structure (P-B-S) relations

9. Design change model and propagation analysis The research methods of change propagation path Complex product systems • Multi-disciplinary coupling relationships • The linkage parameters space is large Searching ? Guide the design change Change propagation path

10. Design change model and propagation analysis Searching of change propagation path

11. Table of Contents Introduction 1 Design change model and propagation analysis 2 Case study —High speed train’s bogie 3 Conclusions 4

12. Case study —High speed train’s bogie …… P-B-S design change model

13. Case study —High speed train’s bogie Multi-disciplinary behaviour Matrix(DSM)

14. Case study —High speed train’s bogie Relationship weighting—Rough set Vehicle dynamics important degree of suspension parameters calculation results c1, c2, c3 and c5——Non-core design parameters c4 and c7 ——Core design parameters c7> c4> c2> c5> c1> c6> c3 Rough set mutual information Path2 Path1

15. Table of Contents Introduction 1 Design change model and propagation analysis 2 Case study —High speed train’s bogie 3 Conclusions 4

16. Conclusions • It facilitates designers to assess the scope of each proposed change accurately. • (2) Based on this model, the multi-disciplinary behavior matrix analysis is applied to search change propagation paths effectively. • (3) By using the rough set based space reduction tool, the design process becomes more efficient. • (4) This method can be used in multi-disciplinary engineering design projects with some domain knowledge support. • In the future, this design change model may be extended to support change propagation risk assessment and change propagation prediction.

17. Thank You !