中国欧盟商会诚挚地邀请您参加于2020年12月11日（周五）举办的赛诺菲巴斯德深圳工厂参观活动

The European Chamber is delighted to invite you to attend the factory tour of Shenzhen Sanofi Pasteur Biological Products Co., Ltd.

• 2020-12-11 | 13:30 - 17:00
• Sanofi Pasteur Biological Products Co., Ltd

工信部国际经济技术合作中心的绿色制造和供应链专家分享 “ 什么是绿色绿色供应链管理， 为什么进行绿色供应链管理及如何进行绿色供应链管理”。同时，我们也将了解到绿色制造国际合作现状与展望。
2020年10月15日中心在武进召开第一届中欧绿建创新论坛，届时希望会员能为示范项目献计献策。

• 2020-09-18 | 15:00 - 16:30
• European Chamber Beijing Office, Office C405 & Zoom online

工信部国际经济技术合作中心的绿色制造和供应链专家分享 “ 什么是绿色绿色供应链管理， 为什么进行绿色供应链管理及如何进行绿色供应链管理”。同时，我们也将了解到绿色制造国际合作现状与展望。
2020年10月15日中心在武进召开第一届中欧绿建创新论坛，届时希望会员能为示范项目献计献策。

• 2020-09-18 | 15:00 - 16:30
• European Chamber Office Shanghai

Manufacturing companies didn't need to worry about marketing a decade ago. They produced the best possible products and hired good salespeople to sell them. And that was about it.
If manufacturers even thought about marketing, it was as sales support: organizing trade show giveaways, creating sell sheets, buying ad space in trade magazines and making sure the website looked halfway decent.
Essentially, marketing was not a focus, and it was often treated as an afterthought.
But the world of buying and selling has changed. 94% of B2B buyers are now doing their own research online before they even want to engage with a manufacturing company's salespeople.
So, ready or not, marketing has become a new necessity manufacturers.

• 2020-09-18 | 09:30 - 12:00
• Generali China Life Insurance Company Limited Guangdong Branch 中意人寿保险有限公司广东省分公司

From the previous LEAN meetings, top management involvement has been discussed and all managers need and must be involved in LEAN activities and working on it on a daily basis. Awards were communicated quite in detail and pointed out different ways in different companies.

The third LEAN discussion will be in Andritz in Foshan. Andritz starts to use LEAN tools (partial of global initiatives) a few years ago with results to have low/middle-end fruits and they are working to shape the factory digitalization (real-time “data” talk to data) to have further improvement. The factory serves more than 10 different industries with all traditional manufacturing processes (Machining, Welding, Assembling, Casting, Forging and Painting) with Project / Product / Service Operation Modules.

• 2020-09-01 | 09:30 - 15:00
• ANDRITZ China Headquarter building

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

How Kaizen philosophy has spread throughout the world and has been applied to environments inside and outside the business as well as productivity? How to solve one ‘’basic issue’’ in your company?

Kaizen, first practiced in Japanese businesses, is a concept referring to business activities that continuously improve all functions and involve all employees from the CEO to the assembly line workers. Currently, aiming to eliminate waste (lean manufacturing), we can see Kaizen has been put into use mainly in the supply chain, such as purchasing and logistics. Besides, it also applies to healthcare, psychotherapy, life coaching, government, and banking.

• 2020-07-24 - 2020-07-24 | 09:30 - 12:30
• Onsite

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

The European Chamber is delighted to invite you to a joint working group meeting on the updates of the Classified Cyber-security Protection Scheme (CCPS) and other related cyber-security laws and regulations with Mr. Wang Xinjie, CEO if Power Times and Member of the SAC/TC260, and Mr. He Ruijun, Managing editor of Joint Publishing Centre between PT Press/Taylor & Francis Group.

• 2020-06-16 - 2020-06-16 | 14:00 - 15:35
• Online - Zoom (Link to be sent upon confirmation)