Six Sigma is an established standard for problem identification and solving. This Six Sigma training enriches the traditional methods by Industry 4.0 technologies. Cheaper sensors and data analytics revolutionize the Measure and Analysis phase in the DMAIC cycle. Easy-to-understand data analytics tools, such as Python, PowerBI, and Knime make Knowledge Discovery possible for everyone. Data collection by sensors and knowledge management transparency are also introduced. This training helps you integrate these methods into your own business on the way to a smart factory.
六西格玛是识别和解决问题的既定标准。 本次六西格玛培训通过工业 4.0 技术丰富了传统的 方法。 更便宜的传感器和数据分析彻底改变了 DMAIC 周期中的测量和分析阶段。 易于理解 的数据分析工具，如 Python、PowerBI 和 Knime，使每个人都可以发现知识。本课程还介绍 了传感器数据采集和知识管理透明度的方法。 本次培训帮助您将这些方法整合到自己的业务 中，助力于贵公司的智能工厂升级。
This training was developed for QM managers and engineers in manufacturing that want to improve their understanding of Six Sigma in the era of Industry 4.0. Beginners in the topic of Six Sigma are also welcome.
该培训是为希望在工业 4.0 时代提高对六西格玛的理解的质量管理工程师和管理人员开发的。 也欢迎六西格玛初学者参与此话题。
大纲 Outline：
Six Sigma 4.0 Introduction
a) Introduction of Six-Sigma
b) Introduction of Industry 4.0
Define Phase
a) Voice of Customer and Project Charter
b) Case Study: Problem Definition
Measure Phase
a) Data Collection using Sensors
b) Case Study: Analysis of Historical Data
Analysis Phase
a) KDD Method
b) Cause and Effect Diagram
c) Case Study: Data integration in Python
d) Knime Introduction
e) Machine Learning for problem Identify
Improve Phase
a) Solution Implementation Tools
b) Case Study: Solution Assessment
Control Phase
a) Control plan
b) Knowledge Management
c) Power BI
六西格玛 4.0 简介
a) 六西格玛介绍
b) 工业 4.0 数据透明性
定义阶段
a) 客户声音和项目章程
b) 案例分析：问题定义
测量阶段
a) 传感器数据采集技术
b) 案例分析：历史数据分析
分析阶段
a) KDD 知识发现方法
b) 因果图
c) 案例分析：Python 数据集成
d) Knime 介绍
e) 机器学习问题识别
改善阶段
a) 解决方案实施工具
b) 案例分析：解决方案评估
控制阶段
a) 控制计划
b) 知识管理
c) Power BI
Payment:
1. Bank transfer:
RMB Bank Account
A/C Name: 中国欧盟商会
A/C No.: 7110210182500027543
China CITIC Bank 中信银行京城大厦支行
Capital Mansion Sub Branch
No. 6, Xinyuan Nan Road
Chaoyang District, 100004 Beijing
北京市朝阳区新源南路6号京城大厦
S.W.I.F.T. Code: CIBKCNBJ100
2. Pay onsite through cash or Wechat.
Terms & Conditions:
This event has limited seating and requires registration and payment in advance. No walk-ins accepted.
Cancellation Policy:
If you cannot attend this training, please cancel your registration at least 3-working days before. If you fail to notify us of your cancellation in a timely fashion, you will be charged for event costs.
To cancel, please contact Ms. Annie Zhou at azhou@europeanchamber.com.cn.
Disclaimer免责声明:
Participants must maintain proper social distancing norms and abide by the Nanjing Municipal Government ’s Epidemic Prevention and Control Rules. If you do not follow the relevant regulations, the European Union Chamber of Commerce in China accepts no responsibility for any of your physical discomfort caused during and after the event. Thank you for your cooperation.
参与活动时，参会人应与他人保持适当距离（防疫考虑）并遵守南京市政府颁布的疫情预防控制要求（例如佩戴口罩等）。如您违反要求，中国欧盟商会对于您在活动中或者活动后的身体不适，不承担任何责任。 感谢您的理解和配合。