基于改进MOGA的供应商选择方法以及在核电设备采购中的应用

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名

邮箱

手机号码

标题

留言内容

验证码

Supplier Selection Based on Improved MOGA and Its Applicationin Nuclear Power Equipment Procurement

1. School of Mechanical and Power Engineering, Shanghai Jiaotong University, 200030, China;
2. Department of Automation, Tsinghua University, Beijing, 100084, China

摘要: 由于核电站建设周期长、投入高,且对运营过程的安全性和经济性有很高要求。因此,可用于供应商选择的决策支撑方法较少,供应商评价流程客观性相对不高。针对这一问题,本文提出了一种客观可行的、基于改进多目标遗传算法(MOGA)的供应商选择方法。仿真试验结果表明了该方法在核电设备采购实践中的有效性和实用性。
- 核电设备 /
- 设备采购 /
- 供应商选择 /
- 遗传算法
Abstract: Considering the fact that there are few objective and available methods supporting the supplier selection in nuclear power equipment purchasing process,a supplier selection method based on improved multi-objective genetic algorithm（MOGA） is proposed.The simulation results demonstrate the effectiveness and efficiency of this method for the supplier selection in nuclear power equipment procurement process.
- Nuclear power equipment /
- Equipment procurement /
- Supplier selection /
- Multi-objective genetic algorithm