版权说明 操作指南
首页 > 成果 > 详情

Automatic assembly cost control method of Industry 4.0 production line based on deep reinforcement learning

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Hui Zhou
作者机构:
[Hui Zhou] College of Management, Hunan City University, Yiyang 13000, China
语种:
英文
关键词:
deep reinforcement learning;Industry 40;automatic assembly;production line;cost control
期刊:
International Journal of Manufacturing Technology and Management
ISSN:
1368-2148
年:
2023
卷:
36
期:
5-6
页码:
352-367
机构署名:
本校为第一机构
院系归属:
管理学院
摘要:
Aiming at the problems of low cost closeness and poor benefit in traditional production line automatic assembly cost control method, an automatic assembly cost control method of Industry 4.0 production line based on deep reinforcement learning is proposed. The assembly cost status is represented by state value function, and the cost data is cascaded by attention model. Based on the analysis of the principle of deep reinforcement learning, a deep reinforcement learning model for automatic assembly cost control of Industry 4.0 production line is constructed by feed forward control, process contr...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com