A Scheme for Intelligent Design of Large Scale Ship Segment Workshop Based on Fuzzy Evaluation Method
Peng Xu, Rui Xue, Wei Fu, Weibin Chen, Yan Ma
Available Online June 2016.
- https://doi.org/10.2991/mecs-17.2017.60How to use a DOI?
- Intelligent Workshop; Fuzzy Evaluation; Particle Swarm Optimization.
- The shipbuilding industry, which relates to the national defense construction and the national economy construction, is an important mainstay of our country. In recent two years, Chinese shipbuilding output takes the first place of the world, and China success in becoming the largest shipbuilding country. But our shipbuilding enterprises have great difference with Korea and Japan in production management, such as production planning, duration controlling,etc. Lack of information feedback, the production plan can not intuitively reflect the production schedule changes; the distribution of materials, equipment and workers is difficult to optimize; low management level of production dispatching; poor production efficiency and problems of controlling the construction cycle are seriously hinder Chinese shipbuilders to improve their productivity and management level and become the most powerful shipbuilding country. In this paper, based on intellectualized reconstruction of large ship flat section intelligent workshop, and according to the characteristics of the intelligent workshop, from the workshop layout, logistics facilities, process scheduling, etc are presented.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Peng Xu AU - Rui Xue AU - Wei Fu AU - Weibin Chen AU - Yan Ma PY - 2016/06 DA - 2016/06 TI - A Scheme for Intelligent Design of Large Scale Ship Segment Workshop Based on Fuzzy Evaluation Method BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.60 DO - https://doi.org/10.2991/mecs-17.2017.60 ID - Xu2016/06 ER -