Six Sigma Black Belt with Adv. Statistics & Process Control
About this course
We will be learning the followings in each of the sections in the course:Section 1: Introduction to Certified Six Sigma Black BeltThis section provides an introduction to the Certified Six Sigma Black Belt course, offering a course overview and outline. It begins by establishing awareness and understanding the distinction between Lean and Six Sigma methodologies. The importance of organizational-wide considerations and the Voice of the Customer are emphasized to set the foundation for the subsequent lectures.Section 2: Introduction to Certified Six Sigma Black Belt ContinueContinuing from the initial lectures, this section explores decision-making within the Six Sigma framework, principles guiding Six Sigma, and the historical evolution of Six Sigma. Additionally, it introduces other improvement methods, with a specific focus on Lean principles.Section 3: Introduction to MUDAThis part concentrates on the concept of MUDA (waste) within the Six Sigma framework. The Seven Wastes (Muda) are discussed, including topics such as overproduction, correction, and the introduction of 5S (Sort, Set in order, Shine, Standardize, Sustain) combined with Just-In-Time (JIT) concepts.Section 4: Projects and ProcessesAddressing the core components of projects and processes, this section outlines the role of process owners, delves into the selection methods for projects, and explores the relationship between process quality and projects. The importance of understanding and managing various components within a process is highlighted.Section 5: Statistics and its Various FormsThis section introduces statistical concepts essential for Six Sigma practitioners. It covers basic metrics, the role of statistics in process improvement, intermediate graphical analysis, normal distributions, probability distributions, histogram creation in Excel, and methods for testing normality.<
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What you'll learn
- understand Lean and Six Sigma methodologies
- identify and eliminate waste using MUDA concepts
- select and manage Six Sigma projects effectively
- apply statistical methods for process improvement
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