Name
Abstract | ||
|---|---|---|
In concurrent design (CCD), multiple design teams execute their tasks simultaneously and then exchange information to update their designs. The process then iterates until the termination criterion is met. When properly controlled and executed, CCD can be an effective method to shorten the time in product development for complex and large-scale projects thanks to its parallel nature. In this note, we propose a coordinate optimization framework to model and control team coordination through information sharing in CCD. It can be shown that under a certain convexity assumption, CCD converges to a globally optimal design if the information sharing intensity is smaller than a certain threshold. Numerical experiments substantiate the theoretical results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/tac.2018.2872196 | IEEE Transactions on Automatic Control |
Keywords | Field | DocType |
Charge coupled devices,Optimization,Linear programming,Convergence,Task analysis,Elevators,Information management | Convergence (routing),Information management,Mathematical optimization,Convexity,Concurrent engineering,Optimal design,Linear programming,Information sharing,Mathematics,New product development | Journal |
Volume | Issue | ISSN |
64 | 7 | 0018-9286 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yijie Peng | 1 | 32 | 12.59 |
| Edward Huang | 2 | 64 | 7.87 |
| Jie Xu | 3 | 81 | 11.71 |
| Zhongshun Shi | 4 | 19 | 7.48 |
| Chun-Hung Chen | 5 | 21 | 6.85 |