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Six Sigma Black Belt
Six Sigma Deployment
Six Sigma Define Phase
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Black Belt Analyze Phase
Black Belt Improve Phase
Black Belt Control Phase
Black Belt Lean Phase
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Business Strategy and Operations

Six Sigma Black Belt - Improve Phase

The Improve Phase training cd consists of multiple titles which helps the practitioner to generate solutions, select the best solution, and implement it to improve the performance of processes.

Six Sigma is a registered Trademark of Motorola Corporation, and all right, title, and interest in Six Sigma belongs to Motorola.

Target Audience:
Candidates for black belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project.

Curriculum Includes:

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Six Sigma Black Belt - The Improve Phase Training Curriculum CD

sk6sigimprove

$169.00

Design of Experiments (DOE)

By the time they reach the Six Sigma Improve phase, organizations have a solid understanding of how and why their processes fail to meet customers' expectations. Organizations use the Design of Experiments (DOE), a key methodology of the Six Sigma Improve phase, to quantify with statistical precision the factors that are causing this gap. Well-designed experiments result in effective process redesign, and ultimately, improved organizations. This course explains how to design and implement efficient and effective improvement experiments.

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Design and Analysis

In the Six Sigma Improve phase, organizations are aiming to evaluate which process inputs have the most significant impact on the process output. Only by effective experimental design and subsequent analysis can organizations pinpoint areas for improvement. This course will enable you to choose between process methods, determine the most effective process, and take into account all of the necessary factors by designing and analyzing full factorial experiments, fractional factorial experiments, and experiments for special cases, such as Plackett-Burman, Box-Behnken, and Central Composite Design (CCD).

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Taguchi and Quality Improvement

Well-designed experiments result in effective process design or redesign, and ultimately, improved organizations. The Taguchi Method is a technique for designing and performing experiments to investigate processes where the output depends on many variables. The Taguchi Method allows the Six Sigma teams to avoid the tedious and costly task of running a process using all possible combinations of variables. By systematically choosing certain combinations of variables, the Taguchi Method makes it possible to separate their individual effects. Unlike traditional Design of Experiments, the Taguchi Method focuses on optimizing design parameters to minimize variation BEFORE optimizing design to hit mean target values for output parameters.

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Experimenting for Process Improvement

The Improve phase of the Six Sigma DMAIC methodology concerns locating the optimal conditions of a process. Many improvement techniques used in Six Sigma concentrate on the impact of single factors on response or yield. In order to achieve breakthrough improvements, however, it is necessary to determine how multiple interacting factors impact response. This course introduces the sophisticated statistical tools used to optimize performance during the Improve phase. You will learn about Response Surface Methodology (RSM) and how it is used to model the impact of interacting factors on response. Evolutionary Operations, Central Composite Designs, the Box-Behnken model, and mixture designs are all introduced as methods for modeling, predicting, and optimizing response.

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