成功的价值创造过程需要能够立即识别问题，快速反应和持续实施解决措施。这一理念需要被深深地嵌入到日常工作中，并且可以通过在您的组织中建立一个额外的功能来实现。班组管理就是，在员工和主管之间持久监控的过程从而不断推动车间持续改进的一 系列行为。深度发展的班组长，他的硬技能和软能力是使他成为一个具有解决问题能力的优秀领导专家的前提。
Successful value creation processes require an immediate identification of problems, short reaction times and the continuous implementation of solutions. This philosophy is to be deeply embedded into day-to-day operations and can be achieved by establishing an additional function within your organisation. The so-called Hancho, who acts between employees and the supervisor, is responsible for permanently monitoring processes and thus for constantly driving the CIP on the Shop Floor. A profound development of the Hancho’s hard and soft skills is the prerequisite for him to become an expert in problem-solving and an excellent leader.

• 2020-11-20 | 09:30 - 17:00
• Stabilus (Jiangsu) Ltd.

PMC计划与物控是工厂运营管理的中枢。在生产计划和物料控制层面上，PMC人员是所有生产部门上司！而对于众多企业，尤其是中国成长型企业，PMC生产计划与物料控制的组织、运作与流程成了企业最薄弱的环节。

• 2020-11-06 | 09:15 - 16:45
• European Chamber Nanjing Office

当今互联网时代，海量信息的高速传播；企业决策者面临着大量真伪难辨，对错难分，是非难断的信息，而信息作为决策的基础，直接影响着决策质量。信息对于决策之重要，差之毫厘，谬以千里。对每个人来说，健康医疗、投资理财、商业决策，科研教育等等重要领域重大问题均需要一套适合新时代的决策和思考模型。
对于企业决策者来说，政策形势，行业前沿、客户关系、商业谈判、市场舆论、产品技术、生产质量等领域都需要更高、更快、更缜密、更训练有素的决策能力。本课程以淘金式思维（critical thinking又译作批判性思维）为核心，从辨明信息开始，为需要做出大量决策的管理者和领导者，提供更为理性，更为有力，更为深入的信息思维模式。避免在决策上造成重大损失，力求通过最小投入产生最大效益，从而在竞争激烈商战中脱颖而出，抢得先机。

• 2020-10-16 | 09:15 - 16:45
• European Chamber Nanjing Office

The European Chamber Nanjing is pleased to invite you to join the training on lean production together with experiencing the production line operation at Staufen's newly opening Lab in Kunshan.

• 2020-09-25 | 09:00 - 17:00
• Staufen Lean Lab诗道芬精益实验室

Purchasing cost analysis, and cost management are most important tasks of purchasing people. How to achieve transparent purchasing cost? How to get reasonable price to achieve a win-win situation with the suppliers, without directly bargaining and damaging the relationship with suppliers? Through this course, we will address these problems. This course, which is designed for purchasing engineers, supervisors, managers etc.will help trainees systematically understand the purchasing cost analysis and the use of relevant tools, so as to realize transparent purchasing cost and achieve the target of purchasing cost reduction. Combined with case studies and practices, trainees will not only learn the theories, but also know how to apply the tools to tackle the real problems they have met or will do.

• 2020-09-11 | 09:00 - 17:00
• Innosapace Nanjing

Laws and regulations in China are becoming more and more each day, change often and affect a company in most possible ways. Especially since the beginning of this year through the introduction of the Corporate Social Credit System they also have got direct implications onto businesses in terms of (possible) market restriction and advantages.

• 2020-08-28 | 14:45 - 16:10
• Zoom Webinar

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

Affected by the epidemic, economies around the world have been hard hit, forcing many companies to face difficult HR challenges. In these uncertain times, companies must efficiently allocate their human resources by adjusting their internal organization structure and salary structure in order to guarantee long term sustainable development. However, the tasks involved in these adjustments, such as downsizing and salary reduction, are not your common everyday tasks done by your HR team. Many companies lack experience dealing with these types of matters and can open themselves up to legal risks if not handled properly.

受新冠病毒的影响，全球各地的经济都遭受了沉重打击。许多企业都面临着人力资源方面的挑战。在这些不确定的时期，企业必须通过调整内部组织结构和薪资结构来有效地分配以及解决当下所面临的困难和挑战，以确保企业的长期可持续发展。然而，企业所面临或涉及的的挑战以及需要作出的调整计划，仅靠企业本身的人力资源团队无法支撑以及满足其所需。许多企业缺乏处理此类事件的经验，如若企业处理不当，或将会面临法律风险。

• 2020-07-23 | 14:30 - 16:30
• Huaihai Human Resources Service Industry Park

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