Archive

战略管理-竞争对手与竞品分析训练营 Strategic Management Training Camp - Competitor and Competitive Product Analysis

  • 2020-08-25 | 19:30 - 21:30
  • Online - webinar link will be shared prior to the event 线上课程 - 参会链接将于会议前发送

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

移动互联网发展至今,人们获取产品信息和购买的渠道越来越丰富,行业之间的竞争越来越激烈,新媒体已经成为企业营销的主阵地。但是很多企业对新媒体的认识很不足,虽然而布局了新媒体渠道渠道但学是传统的营销思维在运营。本课程将从新媒体运营的本质说起,引导学员如何根据“社交化、本地化、移动化、个性化”消费行为特征,通过用户运营、产品分析和活动策划,持续输出引发受众兴趣的内容,并通过创意内容营销企业的产品和服务、扩大品牌的影响力。

  • 2020-07-16 | 09:15 - 16:45
  • European Chamber Nanjing Office

The European Union Chamber of Commerce in China Southwest Chapter is delighted to invite you to attend the Online Training: Project Management Practice (Chinese) on 18th June, Thursday, 2020.

中国欧盟商会西南分会诚邀您参加将于2020年6月18日(星期四)举行的线上培训《成功项目管理实战》。

  • 2020-06-18 | 09:00 - 16:30
  • Online - Zoom Platform (link will be shared prior to the event) 线上讲座 - 参会链接将于会议前发送

精益生产就是及时制造,消灭故障,消除一切浪费,向零缺陷、零库存进军。 与传统的大生产方式不同,其特色是“聚集正能量、杜绝负能量”。

价值流就是将生产过程中的投入因素人、机、料进行整合,并深入了解其中的价值所在,分清其中的正能量与负能量,尽一切可能让有价值的工作多做,标准高效地做;让一切没有价值的工作不做或尽可能地少做。

作为精益生产的起步之法,价值流分析将是一切工作的开端,什么是价值?什么是价值流?如何解读价值流图?都将是本课程的精华所在。通过本次培训将使学员具有价值判断能力,提升企业管理水平,协助完善精益生产系统,为企业永续高效经营积累更多硬实力和软实力。

  • 2020-05-29 | 09:15 - 16:45
  • European Chamber Nanjing Office

思维导图是表达发射性思维的图形思维工具,简单易学有效。思维导图运用图文并重的技巧,把各级主题信息的关系用相互隶属与相关的层级图表现出来,把关键词、图像、颜色等建立记忆链接,充分发挥了左右脑的机能,帮助人们在科学与艺术、逻辑与想象之间平衡发展,从而开启人类大脑的无限潜能。

  • 2020-05-22 | 09:30 - 15:30
  • Online - Zoom Platform (webinar link will be shared prior to the event) 线上课程 - 参会链接将于会议前发送

The European Chamber Nanjing is pleased to invite you join the factory tour to SUSPA and a one-day training on Lean Production. This training is combined with visit in SUSPA (Nanjing) Co., Ltd., company's production line will be used as a case study of this training. Besides, it possible to join Factory Tour in Suspa separately without attending the training. The training starts at 9:30 and tour starts at 14:15.

  • 2020-05-08 | 09:30 - 16:30
  • SUSPA Plant 苏世博减振系统有限公司