This course begins with an ice-breaker story and explores the differences between Kaizen, Lean, and Six Sigma, followed by an understanding of the DMAIC Roadmap and the role of a Six Sigma Yellow Belt individual. You'll delve into the Define phase, capturing the voice of the customer, distinguishing needs from wants, and translating voices to requirements. In the Measure phase, you'll identify eight types of waste, employ a data collection plan, practice sampling techniques, and get introduced to Minitab. The Analyze Phase covers brainstorming root causes, prioritizing them, and using graphical tools like Pareto charts and histograms. The Improve Phase teaches solution-generation techniques such as brainstorming and assumption-busting. Finally, the Control Phase includes control charts and differentiating between common and special causes. By the course's end, you'll execute a Six Sigma Yellow Belt project, master Lean and Six Sigma tools, perform analysis using Minitab, and identify root causes. This course is designed for professionals seeking to enhance their process improvement skills and achieve Six Sigma Yellow Belt certification. A basic understanding of business processes and data analysis is recommended.
How Do You Classify Data?
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Skills You'll Learn
Project Management, Customer Insights, Lean Six Sigma, Process Analysis, Six Sigma Methodology, Kaizen Methodology, Waste Minimization, Data-Driven Decision-Making, Process Improvement, Data Collection, Minitab, Root Cause Analysis, Process Mapping, Pareto Chart, Sampling (Statistics), Solution Design, Statistical Process Controls, Quality Assessment, Lean Manufacturing, Brainstorming
From the lesson
Measure: Identify the Data Types
In this module, we will explore the different types of data used in Six Sigma. You'll learn how to classify data, understand the importance of data-driven decision-making, and evaluate data classification techniques through practical examples.
Taught By
Packt - Course Instructors