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From 123-CBT Computer Based Training
Tools for Planning and Managing Six Sigma Project Opportunities
In many situations your results are only as good as the tools you use. Knowing which tools to use, and how to apply them effectively, is the key to any endeavor's success. This assertion holds true for process and quality improvement strategies, and Six Sigma and quality improvement teams throughout the world use a set of management and planning tools to analyze and understand a variety of issues.
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Tools for Planning and Managing Six Sigma Project Opportunities
Using Six Sigma Analysis Tools and Metrics for Project Decisions
Six Sigma is a business improvement methodology that begins by comparing the current state of a company's products and processes to their desired levels. The goal of the Define phase in the Six Sigma DMAIC methodology is to identify improvement opportunities that have the maximum potential for return on time, money, and resource investments. Knowing what projects to select for improvement requires
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Modeling and Analyzing Processes in Six Sigma
"If you can't describe what you are doing as a process, you don't know what you are doing," says W. Edwards Deming, a well-known American quality advocate, statistician, and educator. During the Measure stage of the Six Sigma methodology, you need to identify and map processes and procedures for problem areas identified during the Define stage, and present them to the Six Sigma team for a closer
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Statistics and Probability in Six Sigma
Six Sigma bases its analysis and findings on the facts and figures at hand. Statistical studies and probability are the key tools that Six Sigma teams use to measure and analyze issues that are identified in the early stages of Six Sigma projects. This course explores basic statistical concepts that apply to Six Sigma. It distinguishes between enumerative and analytical statistics and population
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Data Classification and Collection in Six Sigma
"Measure what is measurable, and make measurable what is not so" said Galileo Galilei, the famous Italian physicist, mathematician, astronomer, and philosopher. Measuring the key characteristics in your current processes is a very significant step in any Six Sigma improvement journey. As such, sample data from existing processes needs to be identified, collected, presented, and analyzed.
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Summarizing and Presenting Data in Six Sigma
Six Sigma teams use measures of central tendency and dispersion to reveal key facts about process data and the existing processes. They summarize data and put forth the relationships between various data components for further analysis. The teams then present these relationships in easy-to-understand graphical forms that facilitate comparison and help to identify possible trends. This course deals
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Probability Distributions and Measurement Systems Analysis in Six Sigma
Probability distributions are an essential part of descriptive statistics that Six Sigma teams can use to assist in fitting collected data into various types of distributions. Probability distributions help to ascertain specific probability values in the distribution and lead the Six Sigma teams down the hypothesis testing roadmap to the next stage of the Six Sigma DMAIC process. Of course, all
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Measuring Process Capability and Performance in Six Sigma
Businesses exist to meet the needs of the customers they serve. As such, you must listen to the voice of your customers and build processes that deliver products and services to them. It is also necessary to review processes to ensure they remain within the targets and specifications set by your customers. Measuring the capability and performance of a process is an important activity in Six Sigma
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Six Sigma and Lean in the Organization
Six Sigma is a highly disciplined, data-driven improvement program that helps companies focus on eliminating defects in any process and delivering near-perfect products and services. Six Sigma has been globally accepted as a profitable and winning business strategy. More and more companies are embracing Six Sigma in a time when competition and sluggish markets have left operational efficiency and
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Design for Six Sigma in the Organization
Design for Six Sigma (DFSS) is often called the future of Six Sigma, as it is emerging as a strategy that better serves the current innovation initiatives of many industries. DFSS uses a "pay me now or pay me later" approach by spending more effort and time on process or product design up front to avoid spending time and effort in those areas later. Whereas Six Sigma just focuses on improving
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Processes and Customer Analysis in Six Sigma Projects
A process is a means of creating and delivering products and services needed by customers. According to Takashi Osada, Japanese author and quality pioneer, "if the process is right, the results will take care of themselves." By Six Sigma standards, a "right process" is one that creates and delivers precisely what the customer needs. By this logic, no Six Sigma effort can start without having a
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Hypothesis Tests for Variances Proportions ANOVA and Chi-Square in Six Sigma
The hypothesis test is one of the most important tools used in the Analyze stage of the Six Sigma DMAIC methodology. A hypothesis test helps to determine whether or not an observed relationship or difference truly exists between inputs and outputs identified in the earlier stages of the process. Six Sigma teams are interested in determining whether this relationship or difference is due to random
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Design of Experiments and Validation of Solutions in Six Sigma
"We are, I think, in the right road of improvement, for we are making experiments," said Benjamin Franklin. In the Improve stage of the DMAIC process, Six Sigma teams design and conduct experiments to study the nature of relationships between input variables and the response variable(s). They do this by controlling and changing the input variables and observing the effects on the response
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Statistical Process Control and Control Plans in Six Sigma
In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, you need to make sure that the improved processes are controlled to sustain the process improvement gains. Statistical process control (SPC) provides tools which can be used to ensure that the processes are continuously monitored, that results are evaluated through the use
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Exploratory Data Analysis in Six Sigma
In the Analyze stage of the Six Sigma DMAIC process, you closely examine the output variable (known as y) and its possible causes or input variables (known as x's) collected in the Measure stage to get a deeper understanding of their relationships. The goal of this analysis is to narrow down the many possible x's identified earlier during the Measure stage, to a few probable ones. This analysis is
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Introduction to Hypothesis Testing and Testing for Means in Six Sigma
The Analyze phase in Six Sigma closely examines the many process inputs identified in the Measure phase to determine if they are related to outputs, and if a relationship does exist, if it is statistically significant. An important tool for this analysis is hypothesis testing. Hypothesis testing uses statistical analysis to determine if the observed relationship between two or more samples is real
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From Serebra Learning Corporation
Customer Focused Management
Sam Walton, founder of Wal-Mart, is reputed to have said, "There is only one boss the customer. And he can fire everybody in the company from the chairman on down simply by spending his money somewhere else." Effective quality management processes focus on the customer. In today's global marketplace, customers have more choices than ever before. To achieve success, it is vital for enterprises to
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Leadership
Leadership is fundamental in driving quality in an organization. A good leader's actions and words filter down to all organizational levels to create a quality culture. The concepts of organizational leadership are built on a foundation of core business elements. A clear understanding of these elements is key in developing an organization's strategic plan and vision. These core elements include:
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Team Dynamics
Effective development of teams improves the organization's quality and productivity. Team development encompasses team establishment, assignment of roles and responsibilities, and performance evaluation. Dynamic team goals and objectives must align with the organization's vision and mission. This course explores team building and team dynamics. It is aligned with the Quality Management Division of
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Developing and Deploying Strategic Plans
Successful organizations are founded on effectively developing and deploying strategic plans. Organizations must identify their primary goals and objectives based on their mission and vision statements. Other success factors include understanding market forces, internal strengths and weaknesses, stakeholders, relevant technology, and legal and regulatory factors. With these considerations, an
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Managerial Skills and Abilities
Quality management is an important factor in the success of today's organizations. Leading organizational thinkers have gone to the extent of saying that quality in an organization is determined by the quality of its management. In order to bring quality and excellence to an organization, managers need certain skills, tools, and abilities in all their functions. These skills and abilities relate
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Communication Skills and Project Management
An essential element of management is the ability to effectively communicate with people. The capacity to successfully communicate in today's global economy is a pivotal element to the success of any organization. Managers need to be aware of emerging technologies and how these affect international communication. To meet an improvement project's specified goals and objectives, a manager must also
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Quality Systems Models and Theories
The implementation of an effective quality system is a vital component of the success of any organization. Personnel at all levels in an organization must be aware of the quality mission, plan, and methodology it employs. A quality mission and plan that is well developed and properly implemented must be aligned to the corporate mission and vision statements and the strategic plan in order to be
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Problem Solving and Process Management Tools
Albert Einstein is reputed to have said, "The significant problems we face cannot be solved at the same level of thinking we were at when we created them." To solve quality and process-related problems, managers should continuously enhance their knowledge of organizational processes and quality management tools. These tools help managers find root causes of problems, an important step toward
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Measurement Assessment and Metrics
Were you ever in a situation where you started a new project and weren't sure of its effectiveness? Is your new process trending toward success or failure? These are questions that should be on the mind of every manager. An effective manager is continuously gathering, monitoring, and analyzing information as it relates to organizational performance.This course explores data analysis techniques
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Supply Chain Management
At what level are your suppliers performing? Are the relationships with your suppliers benefiting the organization? A quality-centered relationship with a supplier can play a vital role in the success of organizations, providing a competitive advantage in today's aggressive global marketplace. Without sound performance measurement and communication strategies, the relationship between you and your
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Training and Development
The most valued resource of any organization is its people. In today's corporate landscape of technological advancement, employees must be trained to align with the strategic direction of the business. Managers of quality should know that improvements in workplace productivity contribute positively to the overall well-being of the organization. This course explores the importance of investing in
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From LearningMeasure.com
QC Tools - Pareto Diagrams
This is another in a series of eight courses on the seven basic tools of quality as defined by Ishikawa. The Pareto diagram is a tool that can identify what are the most important contributors to whatever is being investigated. The Pareto diagram is a special type of histogram with a cumulative percentage overlaid on it.
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QC Tools - Histograms
This is another in a series of eight courses on the seven quality tools defined by Ishikawa. The histogram is a tool that is used to graphically express the distribution of data among various categories. This allows one to graphically express the mean and spread of a set of data, and the number of modes.
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QC Tools - Check Sheets
A check sheet is a tool to collect data associated with the process. It is one of the seven basic quality control tools defined by Ishikawa. The data collected from a check sheet is often used as input into other quality tools. This is one of eight courses on the subject.
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QC Tools - Flowcharts and Process Maps
The purpose of this course is to introduce the flowchart, one of Ishikawa's seven basic quality tools. This is one of a series of eight courses on the quality tools. The flowchart is used to document processes graphically. They are used to help identify where to make improvements in a process, or in the design of a new process.
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Quality Control Tools I
This course provides an overview of the seven quality control tools that are called out in the ASQ Certified Calibration Technician body of knowledge. This is the first in an eight course series on the seven basic tools of quality as defined by Kaoru Ishikawa.
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Inspection, Measurement, and Test Equipment (IM&TE) Specifications
In this course, the basics of IM&TE specifications are covered. In particular what is a specifications, what makes up a specification, the different types of specifications, and how specifications are used in calibration and test.
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Basic Measurement Concepts
This course introduces basic measurement concepts such as bias, repeatability, systematic error. It covers measurement methods, data characteristics, and the characteristics of measurement systems. This course is a follow-on to MEAS101, which is a prerequisite.
This course is worth 0.1 RU's for the purposes of ASQ CCT recertification.
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Applied Statistics for Calibration Technicians
This course is the second course of a three part series of courses covering the applied math and statistics body of knowledge for the ASQ Certified Calibration Technician exam, although this course does go a little further into the topic than is covered in the exam. The topic of this course is probability and statistics.
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Applied Math for Calibration Technicians

The purpose of this course is to cover the basic mathematical concepts that are part of the ASQ Certified Calibration Technician exam.
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From ProTrain Online
Six Sigma Black Belt (ASQ) Certificate

The Black Belt training program integrates online learning with hands-on data analysis. The course material provides an in-depth look at the DMAIC problem-solving methodology, as well as deployment and project-development approaches. The course flow follows the DMAIC methodology, with the appropriate tools and concepts taught at each stage of project deployment. Since software is used for data
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