Scheduling Model and Algorithm for Collaborative Product Design Based on MD
Authors
Xiaolei Wang, Meiliang He, Quan Xu
Corresponding Author
Xiaolei Wang
Available Online October 2015.
- DOI
- 10.2991/icitmi-15.2015.13How to use a DOI?
- Keywords
- Collaborative product design, Scheduling model, Matching degree, Genetic algorithm
- Abstract
In order to improve the efficiency of collaborative product design, project task and team should be allocated and scheduled reasonably. Firstly, the matching degree between task and team was defined. Then, trading-off project duration and cost, multi-objective scheduling model of collaborative product design based on matching degree was established, and the improved genetic algorithm was redesigned to solve the scheduling model. Through an example of collaborative design, the feasibility and validity of the proposed model and algorithm were verified. Simulation result shows that the algorithm has advantages in precision and convergence speed.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaolei Wang AU - Meiliang He AU - Quan Xu PY - 2015/10 DA - 2015/10 TI - Scheduling Model and Algorithm for Collaborative Product Design Based on MD BT - Proceedings of the 4th International Conference on Information Technology and Management Innovation PB - Atlantis Press SP - 64 EP - 69 SN - 2352-538X UR - https://doi.org/10.2991/icitmi-15.2015.13 DO - 10.2991/icitmi-15.2015.13 ID - Wang2015/10 ER -