...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Procedia Manufacturing >Teaching Smart Production: An Insight into the Learning Factory for Cyber-Physical Production Systems (LVP)
【24h】

Teaching Smart Production: An Insight into the Learning Factory for Cyber-Physical Production Systems (LVP)

机译：教学智能生产：网络物理生产系统（LVP）的学习工厂的见解

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Increasing global competition among producing companies necessitates a further specialization and continuous enhancement of products, manufacturing processes and business models. The current advances in these areas are highly influenced by the digitization, which might not only change the work environment within a factory but might also change entire value-added chains. Therefore, producing companies express their demand for learning environments, which address ongoing developments regarding digitization and Industry 4.0. This paper presents the concept for the learning factory for cyber-physical production systems (LVP). Based on a production scenario, which includes manufacturing as well as assembly, the learning environment demonstrates how recent technologies can be used to cope with high numbers of product variants and small lot sizes. The technologies utilized within the LVP include interactive assistance systems for workers, real-time business intelligence and simulation tools for single processes and for the overall material flow. The learning factory shows the technical implementation of these technologies as well as their impact on the organization of the production system. By attending one of the interactive training sessions, participants can experience the various advantages of intelligent production systems.
机译：生产企业之间日益激烈的全球竞争需要进一步专业化并不断增强产品，制造流程和商业模式。这些领域的最新进展受到数字化的极大影响，这不仅可能改变工厂内的工作环境，而且可能会改变整个增值链。因此，生产公司表达了他们对学习环境的需求，这些需求解决了有关数字化和工业4.0的持续发展。本文介绍了用于网络物理生产系统（LVP）的学习工厂的概念。基于包括制造和装配在内的生产场景，学习环境演示了如何使用最新技术来应对大量的产品变体和小批量。 LVP中使用的技术包括用于工人的交互式辅助系统，用于单个流程和整个物料流的实时商业智能和模拟工具。学习工厂将展示这些技术的技术实施及其对生产系统组织的影响。通过参加其中一个交互式培训课程，参与者可以体验智能生产系统的各种优势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号