【GAMI Open Course】Lean Six Sigma Black Belt Training

• Most of us master several quality tools in the enterprise. Fragmented application of tools is not effective or even wrong, and it is a prerequisite for the application of certain tools if you do not know how to contact them. Six Sigma Black Belt training can help participants master the relevant quality theories and tools systematically and comprehensively to solve quality problems more effectively.
• Everyone needs continuous improvement. Not only quantitative change, but also qualitative change is needed. Six Sigma emphasizes breakthrough improvement. Participants enter the class with a problem, and by the end of the course, the project is closed, the company is profitable, and the individual grows and continues to improve.
• Get the systematic training of GAMI Six Sigma Black Belt, and have a better chance to pass the CQC exam. Also, there are abundant cases to develop your vision.

• 在企业里我们大都掌握几种质量工具，零散的工具应用效果不好，甚至出错，⽐如不知道如何联系某些工具应用的前提条件。六西格玛黑带培训可以帮助学员系统全面的掌握相关的质量理论和工具，更有效的解决质量难题。
• 每个⼈都需要持续改进。不仅需要量变，更需要质变。六西格玛强调突破性改进。学员带着问题进⼊课堂，课程结束，项⽬结案，企业获利，个人成长，持续进步。
• 获得GAMI六西格玛黑带系统培训，更大机会能力通过中质协考试。更有丰富案例开拓视野。

Speakers 主讲老师

Mr. Sun / 孙老师

• Zhejiang University, MBA / 浙江大学，MBA工商管理硕⼠
• Certified Six Sigma Black Belt Trainer, China Association for Quality (Management CAQ-BBJS-M0078) / 中国质量协会注册六西格玛黑带认证培训教师（管理类CAQ-BBJS-M0078）
• Certified Six Sigma Black Belt Trainer (Statistics CAQ-BBJS-S0089), China Association for Quality / 中国质量协会注册六西格玛黑带认证培训教师（统计类CAQ-BBJS-S0089）
• Former QMS registered auditor of China Certification and Accreditation Association / 中国认证认可协会前QMS注册审核员

Schedule 具体行程

Feb 27 – Mar 3 / 2月27日 – 3月3日

Mar 27 – Mar 31 / 3月27日 – 3月31日

10 days on-site training + 1 pre-test online Q&A / 共10天现场培训+1次考前线上问答

Outline 大纲

• Six Sigma Management in the Organization / 六西格玛管理在组织中的开展
• The Development of Six Sigma Management and Continuous Improvement / 六⻄格玛管理和持续改进的发展
• The Core Concept of Six Sigma Management / 六⻄格玛管理的核⼼理念
• Organization and Promotion of Six Sigma Management / 六⻄格玛管理的组织和推进
• Overview of Six Sigma Methodology / 六⻄格玛⽅法论的概述
• Six Sigma Improvement Model DMAIC / 六⻄格玛改进模式DMAIC
• Six Sigma and Process Management / 六⻄格玛和过程管理
• Systematic Analysis of Business Processes / 业务流程的系统分析
• Stakeholder Analysis / 利益相关⽅分析
• Cost of Quality / 质量成本
• Process Key Metrics / 过程关键指标
• Level Comparison / ⽔平对⽐
• Financial Gains / 财务收益
• Define Phase / Define 阶段
• Customer Identification and Customer Voice / 顾客识别和顾客声⾳
• Key Customer Needs / 关键顾客需求
• Six Sigma Project Selection / 六⻄格玛项⽬选择
• Define the Scope of the Project / 界定项⽬范围
• Project Form and Plan / 项⽬⽴项表和计划
• Team Building and Management / 团队建设和管理
• Project Management Tools / 项⽬管理⼯具
• Basic Statistical Knowledge / 基本统计知识
• Measure Phase / Measure 阶段
• Common Distribution / 常⽤分布
• Minitab Applications / Minitab 应⽤
• Central Limit Theorem / 中⼼极限定理
• Measurement System Analysis (MSA) / 测量系统分析(MSA)
• Process Capability Index Cp, Cpk, PPM, DPMO, DPU, Process Sigma Level, Straight-through Rate, etc. / 过程能⼒指数Cp、Cpk 、PPM、 DPMO、DPU、过程⻄格玛⽔平、直通率等
• Point and Interval Estimation / 点估计和区间估计
• Analyze Phase / Analyze 阶段
• Hypothesis Testing / 假设检验
• Variance Analysis / ⽅差分析
• Columnar Tables and Chi-square Tests / 列联表和卡⽅检验
• Correlation Analysis Regression Analysis / 相关分析回归分析
• Lean Analysis Tools / 精益分析⼯具
• Lean Sandbox Simulation / 精益沙盘模拟
• Creative Thinking Tools / 创造性思维⼯具
• Improve Phase / Improve 阶段
• Fundamentals of Experimental Design / 试验设计基础
• Terminology / 术语
• Experimental Design Principles / 试验设计原理
• Pilot Program / 试验计划
• One-way Experimental Design / 单因⼦试验设计
• Full Factorial Experimental Design / 全因⼦试验设计
• Two-level Partial-cause Experimental Design / 两⽔平部分因⼦试验设计
• Response Surface Design and Analysis / 响应曲⾯设计与分析
• Control Phase / Control 阶段
• Control Plan / 控制计划
• Commonly Used Control Charts / 常⽤控制图
• Special Control Charts / 特殊的控制图
• Lean Control Tools / 精益控制⼯具
• Six Sigma Summary and Project Review / 六⻄格玛总结与项⽬评审
• Six Sigma Project Evaluation Methodology / 六⻄格玛项⽬评价⽅法
• Six Sigma Improved by Industry 4.0 / 工业4.0背景下的六西格玛管理
• KDD Method / KDD知识发现方法
• Case Study: Data Integration in Python / 案例分析：Python数据集成
• Knime Introduction / Knime介绍
• Machine Learning in QM / 质量管理中的机器学习