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< Managing Change > (com_000_01911)

(except Cuyahoga, Hollister, and LSST)
< Quality Tools Online > (com_000_00007)
5S (com_000_01551)
• Discuss 5S, describe its overall purpose and benefits, and identify the five phases of its process.

• For each phase, we will drill down to discuss key objectives, tools or methods used to reach those objectives, and the benefits achieved.

• Introduce a sixth "S," Safety.

A3 Problem Solving (com_000_02007)
• Show the importance of observation for Lean process improvement; describe the A3 Report as a problem-solving and communication tool.

• Demonstrate how the Plan-Do-Check-Act, or PDCA, cycle is an integral part of A3; and explain the concept of Going to Gemba.

• Walk through the steps for completing an A3 Report, including key questions to ask at each stage; and discuss what makes a good A3.
ANOVA (com_000_01883)
• Identify when the method of ANOVA should be applied.

• Interpret the results and draw valid statistical conclusions from a completed ANOVA table.

• Determine the appropriate degrees of freedom and how to calculate the F-values for one-way, two-way, and nested designs.

• Interpret the results of main effects and interaction plots and draw valid statistical conclusions.
Cause and Effect Diagrams (com_000_01591)
• Explain the three basic steps for identifying and preventing problems; and how to apply basic cause and effect principles in order to identify the root cause of a problem.

• Learn techniques for gathering information for cause and effect analysis, including Five Whys and Brainstorming.

• Organize data and information for analysis using the Affinity Diagram and the Fishbone (or Ishikawa) Diagram.

• Analyze a process using Root Cause Analysis and The XY Matrix.
Changeover Reduction (com_000_01557)
• Define Changeover Reduction, and provide a brief overview of its origin, and discuss its benefits.

• Explain how it supports and enables Lean waste reduction.

• Define Takt time, distinguish between external and internal work, and discuss the relevance of each.

• Provide a step-by-step guide to implementing a successful Changeover Reduction program.
Comparing Means (com_000_01881)
• Compare two population means and define the difference between independent and dependent samples.

• Show how to compute an appropriate confidence interval for the difference of two population means for both independent and dependent variables.

• Interpret the meaning of the confidence interval.

• Describe how to perform a hypothesis test for the difference of two population means for both independent and dependent samples.
Confidence Interval for the Mean (com_000_01869)
• Define the differences between a point estimator and a confidence interval.

• Identify the appropriate steps in computing a confidence interval for a single population mean.

• Show how to interpret the meaning of the confidence interval for a population mean.

• Explain the meaning of a sampling distribution for a sample statistic and its relevance in computing a confidence interval for a population parameter.
Continuous Probability Distributions: Normal Curve (com_000_01858)
• Describe the characteristics of the normal probability distribution including the shape, central tendency, and dispersions.

• Describe how the standard deviation affects the shape of the normal distribution.

• Explain how to use sample data and a normal curve to predict the proportion of product which meets customer requirements.

• Explain how to use a normal curve to estimate the capability of a process.
Control Charts (com_000_01564)
• Define Control Charts and discuss their purpose.

• Explain how to determine whether to use an Attribute or a Variables Control Chart.

• Describe the steps for setting up a Control Chart.

• Discuss the basic rules for using Control Charts.

• Explain how to identify which Control Chart type is most appropriate for monitoring a given process parameter.
Controlling the Process (com_000_01870)
• Discuss the purpose of the Control phase in a Lean Six Sigma DMAIC project.

• Walk through the steps for controlling the process.

• Describe the basic elements of a Control Plan, discuss its importance, and explain how to create and implement it.

• Describe the key components required for effectively closing the project, including documentation, handoff, and leverage.
Current State Value Stream Mapping (com_000_01556)
• Define Value Stream and Product Family, and explain how to identify Product Families from groups of products.

• Describe a Current State Value Stream Map, and discuss its purpose.

• Walk through the steps of creating a Current State Value Stream Map; identify commonly used symbols; and describe how metrics are collected and represented.
Design of Experiments: Basic and Full Factorial (com_000_01969)
• Define a full factorial experiment.

• Show how to calculate the main and interaction effects.

• Demonstrate how to analyze the results of a full factorial design.

• Explain the role of replication.

• Describe the threats to statistical validity of a designed experiment.
Eight Wastes (com_000_01550)
• Describe Value Add versus Non-Value Add activities and explain why they are important in a Lean implementation.

• Identify the Eight Wastes and discuss why they are a primary focus during Lean implementation.

• Describe each of the Eight Wastes in detail and give examples.
Error Proofing (com_000_01554)
• Define Error Proofing from a Lean perspective; describe its business benefits.

• Discuss how it can improve quality and reduce failures and omissions.

• Illustrate the 6-Step error proofing process.

• Explain how to implement Error Proofing for both office and manufacturing processes.
Failure Mode and Effects Analysis (com_000_01593)
• Define FMEA and discuss its use as a project risk assessment tool.

• Describe the 10 steps for constructing a process FMEA.

• Explain the FMEA scoring criteria.

• Discuss how to translate FMEA results into action.
Flow and Pull Systems (com_000_01549)
• Define Continuous or One Piece Flow and the introductory aspects of Pull Systems.

• Explain where to implement Pull Systems.

• Discuss how they enable effective flow of information and materials, and identify which tools are best suited for various office and manufacturing environments.

• Explain how to apply Pull Systems in a comprehensive and systematic way.
Future State Value Stream Mapping (com_000_01558)
• Define a Future State Value Stream Map and describe its purpose.

• Define and calculate several Lean Metrics, and discuss their roles in Value Stream Mapping.

• Demonstrate how to analyze a Current State Value Stream Map to create a Future State Value Stream Map.

• Discuss how to enable flow and develop Pull.
Hypothesis Testing for Nonparametric Data (com_000_01892)
• Explain how to determine data normality and understand possible causes of non-normal data.

• Show how to select appropriate tests for nonparametric data and how to interpret nonparametric test statistics.

• Describe the purpose of transforming data and some of the techniques used to transform data.
Hypothesis Tests for the Mean (com_000_01867)
• Explain how to identify the appropriate form of a statistical hypothesis for testing a population mean.

• Show to perform a hypothesis test for a single population mean.

• State a valid conclusion based on the result of the test performed.

• Identify the risks associated with making a specific decision.
Introduction to Design of Experiments (com_000_01854)
• Define Design of Experiments (DOE) and describe its purpose, importance, and benefits.

• Define key terms associated with DOE.

• Explain how to conduct a well-designed statistical experiment.

• Describe the five phases used for applying DOE.

• Walk through the steps for each phase as we apply DOE to a sample experiment.
Introduction to Hypothesis Testing (com_000_01971)
• Explain the purpose of hypothesis testing and show how to interpret the results of various hypothesis tests.

• Discuss the relationship between probability and p-value.

• Describe how to state the null hypothesis and the alternative hypothesis when provided with a test scenario.

• Explain how to select the proper hypothesis test to use, based on data type.

• Conduct several hypothesis tests for continuous and discrete data.
Introduction to Inferential Statistics (com_000_01569)
• Distinguish between the use of descriptive and inferential statistics.

• Explain the concept of using a confidence interval to estimate a population parameter.

• Identify when hypothesis testing may be appropriate and explain the methodology as it relates to a scenario.
Introduction to Lean Office and Service (com_000_01559)
• Why Lean Office and Service is important to an organization’s long-term success.

• The common obstacles organizations face when implementing Lean Office and Service and how to overcome them.

• We will review each of the five key principles of Lean, and explain how they work in the office and service environment.

• Discuss the relationship between some important Lean tools, and demonstrate how to apply them.
Introduction to Lean Principles (com_000_01560)
• Define Lean, its importance, benefits, and objectives.

• Describe Lean tools, methodologies, and levels of deployment.

• Identify the roles and responsibilities of the Lean implementation team.

• Discuss how these roles can be integrated into an organization.
Introduction to Probability (com_000_01856)
• Explain how to determine the probability of simple events and compound events.

• Describe the difference between events that are mutually exclusive and those that are not.

• Define conditional and unconditional probabilities, and what is meant by statistically independent events.

• Demonstrate how to calculate combinations and permutations.
Introduction to Process Capability (com_000_01567)
• Determine how well a process is able to meet customer requirements by measure of process capability.

• Identify when one process is more capable than another.

• Distinguish capable from non-capable processes.

• Identify how sample measurements are used to estimate population values.

• Determine which Control Chart type is most appropriate for monitoring a particular process parameter.
Introduction to Six Sigma (com_000_01781)
• Define Six Sigma and discuss its origin and evolution and describe how it differs from Lean and Six Sigma.

• Explain how sigma levels are determined, and how they are used to indicate process capability.

• Describe the roles of Six Sigma team members, and discuss key factors of Six Sigma success.

• Discuss important elements of the Six Sigma process, including key inputs and outputs and the role of “Critical to Xs.”

• Describe the five phases of the DMAIC improvement cycle.
Introduction to the Theory of Constraints (com_000_01801)
• Discuss the origins of the Theory of Constraints.

• Examine its philosophy and governing principles; and describe its applications.

• Walk through its Five Focusing Steps, study some examples, and review typical results.

• Examine the relationship between the Theory of Constraints and Critical Chain Program Management.
Kaizen Event (com_000_01543)
• Define Kaizen Event and discuss its purpose and application.

• Explain how Kaizen Events can provide rapid business benefits and accelerate the execution of larger initiatives.

• Walk you through the structured approach for running Kaizen Events, in both office and manufacturing processes.
Making Inferences about Proportions (com_000_01868)
• Compare two population means and define the difference between independent and dependent samples.

• Show how to compute an appropriate confidence interval for the difference of two population means for both independent and dependent variables.

• Interpret the meaning of the confidence interval.

• Describe how to perform a hypothesis test for the difference of two population means for both independent and dependent samples.
Making Inferences about Variances (com_000_01891)
• Explain how to identify the appropriate form of a statistical hypothesis for testing population variances.

• Show how to perform a hypothesis test for either one or two population variances.

• Describe the steps for computing a confidence interval for population variance.
Managing the Project (com_000_01572)
• Identify the Process Owners, internal and external customers and stakeholders.

• Describe the GRPI Model and how to use it throughout the project.

• Apply the ARMI tool to clearly define stakeholder roles.

• Illustrate and complete a Project Charter.

• Conduct a stakeholder analysis.

• Plan the project, identify necessary resources, and discuss the different project roles.

• Explain the team dynamics necessary to be a Change Leader.
Mapping the Process (com_000_01596)
• Define a process and a process map, and describe the benefits of process mapping.

• Describe the differences between relationship maps, swim lane charts, and process map diagrams.

• Discuss the three levels of detail used to describe a complex process; and walk through the five steps of process mapping.

• Explain and demonstrate how to apply a process map.
Measurement System Analysis (com_000_01589)
• Identify the characteristics of a good measurement system.

• Identify the benefits of using a Gauge R&R study to validate the measurement system.

• Discuss the steps used to conduct a Gauge R&R study.

• Use the results of the Gauge R&R study to determine how effective the measurement system is.
Measures of Central Tendency (com_000_01598)
• Discuss the three Measures of Central Tendency: mean, median, and mode.

• Describe how to estimate the relationship of the median and the mean, based upon the shape of the histogram.

• Explore how changes to the original data affect the mean, median, and mode.

• Calculate estimates for the median and mean and how to identify the modal class.
Measures of Dispersion (com_000_01599)
• Calculate measures of dispersion such as range, variance, and standard deviation.

• Explain how a change in dispersion will affect the shape of the histogram.

• Demonstrate how a transformation made to the original data affects the standard deviation.

• Explain how to estimate the percentage of measurements within a specified interval of the mean.

• Calculate the Z score for a stated measurement.
Multiple Regression (com_000_01939)
Organizing and Presenting Data (com_000_01600)
• Describe techniques for displaying data in various tabular or graphical formats.

• Show how to interpret and answer questions about the data, whether qualitative or quantitative.
Pareto Analysis (com_000_01563)
• Explain how to create a Pareto Chart, including a cumulative relative frequency line.

• Describe how to use a variable to weight the original data and produce another Pareto

• Discuss how to use stratification methods to perform in depth Pareto analysis of the data.

• Explain how to interpret a Pareto Chart to make a business decision.
PM: Closing (com_000_01390)
PM: Controlling - Earned Value Management (com_000_01380)
PM: Executing (com_000_01534)
PM: Human Resources (com_000_01379)
PM: Initiating (com_000_01323)
PM: Managing Project Changes (com_000_01405)
PM: Project Management Introduction (com_000_01193)
• Define a project.

• Identify the roles and responsibilities of a Project Manager.

• Identify the processes involved in Project Management such as: initiating, planning, executing, controlling and closing.

• Identify the relationship between scope, time and cost and how these factors affect the success and quality of a project.
PM: Scheduling Skills (com_000_01373)
PM: Scheduling Tools (com_000_01375)
PM: Work Breakdown Structure (WBS) (com_000_01329)
Probability Distributions: Discrete Random Variables (com_000_01857)
• Explain what a random variable is, and distinguish between discrete and continuous random variables.

• Describe the properties of a discrete probability distribution.

• Calculate the mean, or expected value, and standard deviation.
Process Capability Assessments (com_000_01566)
• Compute Cp, Cpk, Pp, and Ppk values for processes using continuous data.

• Interpret Cp, Cpk, Pp and Ppk and relate them to a defect level.

• Take relevant process information for a process using discrete data.

• Calculate process assessment measurements.

• Determine how well processes are meeting customer requirements.

• Look at a powerful operation metric called Rolled Throughput Yield.
Process-Based Costs (com_000_01592)
• Discuss how the overall cost of quality relates to both the cost of poor quality and the cost of good quality.

• Define the Cost of Poor Quality (COPQ) and identify components of COPQ as they relate to the process.

• Explain how to calculate the Cost of Poor Quality.

• Identify the benefits derived by a company when they are able to reduce COPQ.
Scatter Diagrams (com_000_01588)
• Show how to determine if two variables plotted on a scatter diagram appear to be correlated and to what degree.

• How to build a scatter diagram.

• How to avoid errors in analyzing scatter diagrams.

• How to use stratification to further explore the relationship between variables.
Selecting the Solution (com_000_01873)
• Examine the process of selecting a solution for an improvement project.

• Discuss how potential savings affect a project’s Return On Investment (or ROI).

• Describe the purpose and application of common tools used to generate and analyze potential solutions and to assess risk.

• Explain how all these components come together in the implementation plan.
Simple Linear Regression (com_000_01885)
• Review how to use a scatter plot to determine if two variables appear correlated and to what degree.

• Explain how to calculate the correlation coefficient and the coefficient of determination.

• Show how regression analysis can be used to predict the value of one variable from another variable by fitting a least squares regression line to the data and judging the validity of the model.

• Describe how to use information generated by a computer output from a simple linear regression to write the equation of the line and perform predictions based upon the model.
SIPOC (com_000_01562)
• Define SIPOC, describe its components and discuss the purpose of SIPOC.

• Explain how to construct a SIPOC diagram.

• Describe how the information gained from a SIPOC analysis can be used.
Standard Work (com_000_01546)
• Define Standard Work from a Lean perspective.

• Discuss its business benefits; explain why it is the basis for improvement.

• Explain how to create, implement, and improve Standard Work for both office and manufacturing processes.
Total Productive Maintenance (com_000_01555)
• Describe the primary benefits gained from Total Productive Maintenance.

• Identify four major categories of maintenance.

• Define Overall Equipment Effectiveness.
Visual Management (com_000_01542)
• Define Visual Management and describe its purpose and benefits.

• Introduce the three characteristics of Visual Management – Self Explaining, Self Regulating, and Self Improving – and discuss why they are important.

• Describe the difference between Visual Controls and Visual Displays, giving examples of each.
Voice of the Customer (com_000_01571)
• Describe methods on how to translate the Voice of the Customer (VOC) into measurable requirements.

• Explain how to apply a 5-step method for setting up and conducting a VOC study.

• Discuss techniques that are used to identify process variables which are correlated to customer requirements.
What is Statistics? (com_000_01568)
• Introduce some basic terminology used in statistics.

• Identify the different kinds of data and ways to gather or collect the data.

• Teach ways to organize information into a manageable form for the purpose of making informed decisions.
Workplace Design and Layout (com_000_01541)
• Describe how Lean Workplace Design differs from traditional approaches and discuss its business benefits.

• Show how it is used to improve quality and reduce lead times.

• Explain how to create effective Workplace Design for office and manufacturing processes.
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