每个企业都有自己的KPI指标，希望自己的生产运营达到更好的质量、更好的交期以及更低的成本。但是在现实的运营过程中，总是会遇到不同的挑战，客户的需求波动越来越大，每个产品的型号变化也越来越多，传统的产线就很难满足客户当前的需求等，于是，大部分的企业就会考虑以精益的方式来设计新产线或者优化传统产线，在这个过程中，很多精益的原则就需要导入到产线设计中，但是在实际的执行过程中，由于缺乏系统的方法论以及实际的指导方针，导致执行结果参差不齐。

• 2020-08-20 | 09:00 - 17:00
• GAMI全球先进制造研究所

As one method in the wide field of Artificial Intelligence, Machine Learning is a data analytics technique based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Growing volumes of available data as well as cheaper and more powerful computational processing allow a deeper understanding of manufacturing processes, which can lead for example to an earlier identification of risks or a better fulfillment of customer demands. Through the application of Machine Learning, it will be possible to gain even bigger insights to the captured data, since it enables a generation of models that can analyze bigger, more complex data and deliver faster, more accurate results. Today, Machine Learning applications can be found in various areas: From financial services for credit scoring and algorithmic trading over biology for tumor detection or drug testing to manufacturing industry for predictive maintenance through image and pattern recognition.
In order to learn more about Machine Learning to get familiar with a methodology how to implement Machine Learning projects and to get insights from case studies in industry, the European Chamber Nanjing chapter co-organized with GAMI to hold a 1.5 days training together with their partners wbk, amtc and Solomon on July 21 and July 23, 2020. This will include an online and an onsite session, to share with you knowledge and know-how on Machine Learning.

• 2020-07-23 | 09:15 - 17:00
• KIT China Branch, SUZHOU

As one method in the wide field of Artificial Intelligence, Machine Learning is a data analytics technique based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Growing volumes of available data as well as cheaper and more powerful computational processing allow a deeper understanding of manufacturing processes, which can lead for example to an earlier identification of risks or a better fulfillment of customer demands. Through the application of Machine Learning, it will be possible to gain even bigger insights to the captured data, since it enables a generation of models that can analyze bigger, more complex data and deliver faster, more accurate results. Today, Machine Learning applications can be found in various areas: From financial services for credit scoring and algorithmic trading over biology for tumor detection or drug testing to manufacturing industry for predictive maintenance through image and pattern recognition.
In order to learn more about Machine Learning to get familiar with a methodology how to implement Machine Learning projects and to get insights from case studies in industry, the European Chamber Nanjing chapter co-organized with GAMI to hold a 1.5 days training together with their partners wbk, amtc and Solomon on July 21 and July 23, 2020. This will include an online and an onsite session, to share with you knowledge and know-how on Machine Learning.

• 2020-07-21 | 13:30 - 17:30
• Zoom online

技术研究离不开数据、管理决策离不开数据，在这个一切用数据说话的年代，我们究竟用什么方法来保证原始数据的准确性？
---MSA（Measurement System Analysis）测量系统分析，只有合格的测量系统才能提供正确的数据。TÜV莱茵学院的MSA在线直播课程将从基本概念着手，介绍测量系统分析的基本方法与应用技巧，让学员学会正确使用基本的测量系统方法.

• 2020-03-20 | 09:00 - 17:00
• online

随着工业机器人产业的高速发展，对于机器人行业人才的需求量逐年提升，整个产业对专业人才的需求处于一种饥渴的状态。近年来，我国工业机器人市场快速发展，人才需求紧缺。据预测，2020年我国工业机器人市场人才需求将达750万，而人才缺口将达300万；到2025年，我国工业机器人市场人才需求将达900万，人才缺口达450万。其中仿真编程类人才更为紧缺。机器人工程师需要综合性技能，涉及到的知识点很多，本次培训将系统化介绍工业机器人知识点，结合企业实际案例进行实操，其中以仿真技术和编程知识为重点。通过本次培训，将帮助您：
• 掌握工业机器人的理论知识
• 学会robotstudio软件的基本操作
• 学会用robotstudio进行编程操作
• 学会用robotstudio进行具体工艺的应用

• 2020-03-18 - 2020-03-31 | 09:00 - 12:00
• online

通过学习TÜV莱茵学院的PPAP（Production Part Approval Process）在线直播课程，学员能了解到PPAP生产件批准程序，便于供方向分承包方传达产品质量策划要求。如何在过确认中进行提交零件和相应文件，是用来确定“供方（供应商）”是否已经正确理解了顾客的工程设计记录和规范的所有要求，并且在执行所要求的生产节拍条件下的实际过程中，具有持续满足这些要求的潜在能力.

• 2020-03-17 | 09:00 - 17:00
• online

We are pleased to share the video of TÜV Rheinland's training on the resumption of work during epidemic.

• 2020-03-02 | 00:00 - 00:00
• Video attached