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< Introduction to Probability > (com_000_01856) |
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DISCONTINUED MODULE - DO NOT USE |
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< Managing Change > (com_000_01911) |
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DISCONTINUED MODULE - DO NOT USE
(except Cuyahoga, Hollister, and LSST) |
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< Quality Tools Online > (com_000_00007) |
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5S (com_000_01551) |
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- 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.
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5S Plus Safety for Healthcare (com_000_01846) |
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• Introduce 5S plus Safety. • Describe its overall purpose and benefits in Healthcare. • Identify the phases of its process. • Drill down to discuss key objectives. • Tools or methods used to reach those objectives, and the benefits achieved.
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A3 Problem Solving (com_000_02007) |
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• 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. |
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ANOVA (com_000_01883) |
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• 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. |
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Black Belt Test Prep: Module 1 (com_000_00534) |
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• This module covers topics in Section I, “Enterprise-Wide Deployment,” and Section II, “Business Process Management.” |
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Black Belt Test Prep: Module 2 (com_000_00548) |
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• This module covers topics in Section III, “Project Management” and Section IV, “Six Sigma Improvement Methodology and Tools - Define.” |
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Black Belt Test Prep: Module 3 (com_000_00549) |
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• This module covers topics in Section V, “Measure,” and Section VII, “Analyze.” |
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Black Belt Test Prep: Module 4 (com_000_00550) |
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• This module covers topics in Section VII, “Improve,” and Section VIII, “Control.” |
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Black Belt Test Prep: Module 5 (com_000_00551) |
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• This module covers topics in Section IX, “Lean Enterprise” and Section X, “Design for Six Sigma.” |
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Cause and Effect Diagrams (com_000_01591) |
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• 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. |
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Changeover Reduction (com_000_01557) |
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• 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. |
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Comparing Means (com_000_01881) |
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• 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. |
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Confidence Interval for the Mean (com_000_01869) |
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• 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. |
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Continuous Probability Distributions: Normal Curve (com_000_01858) |
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• 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. |
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Control Charts (DL) (com_000_01564) |
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• 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. |
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Controlling the Process (com_000_01870) |
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• 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. |
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Current State Value Stream Mapping (DL) (com_000_01556) |
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• 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. |
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Current State Value Stream Mapping for Healthcare (com_000_01838) |
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• 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. • Describe how metrics are collected and represented.
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Design of Experiments: Basic and Full Factorial (com_000_01969) |
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• 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. |
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Eight Wastes (com_000_01550) |
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• 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.
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Eight Wastes for Healthcare (com_000_01847) |
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• 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.
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Error Proofing (com_000_01554) |
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• 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. |
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Error Proofing for Healthcare (com_000_01676) |
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• Define Error Proofing from a Lean perspective. • Describe the benefits a healthcare organization can expect. • Discuss how it can improve patient safety and service quality while reducing failures and omissions. • Understand and be able to apply the 6-Step error proofing process . • Explain how to implement Error Proofing for healthcare processes.
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Failure Mode and Effects Analysis (com_000_01593) |
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• 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. |
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Flow and Pull Systems (com_000_01549) |
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• 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.
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Flow and Pull Systems for Healthcare (com_000_01875) |
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• 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 healthcare environments. • Explain how to apply Pull Systems in a comprehensive and systematic way.
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Future State Value Stream Mapping (DL) (com_000_01558) |
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• 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.
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Future State Value Stream Mapping for Healthcare (com_000_01839) |
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• Define a Future State Value Stream Map and describe its purpose. • Define and calculate Takt Time, and discuss its role 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.
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Hypothesis Testing for Nonparametric Data (com_000_01892) |
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• 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. |
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Introduction to Design of Experiments (com_000_01854) |
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• 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. |
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Introduction to Hypothesis Testing (com_000_01971) |
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• 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. |
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Introduction to Inferential Statistics (com_000_01569) |
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• 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. |
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Introduction to Lean for Healthcare (com_000_01842) |
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• Explain why the implementation of Lean is vital to the continuous improvement of a healthcare system.
• Discuss the basics of the Lean improvement methodology.
• Discuss the five key principles of Lean and how they work in a healthcare environment.
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Introduction to Lean Office and Service (com_000_01559) |
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• 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. |
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Introduction to Lean Principles (com_000_01560) |
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• 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. |
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Introduction to Process Capability (com_000_01567) |
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• 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. |
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Introduction to Six Sigma (DL) (com_000_01781) |
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Ă¯Â¿Â½ Define Six Sigma and discuss its origin and evolution and describe how it differs from Lean and Six Sigma. Ă¯Â¿Â½ Explain how sigma levels are determined, and how they are used to indicate process capability. Ă¯Â¿Â½ Describe the roles of Six Sigma team members, and discuss key factors of Six Sigma success. Ă¯Â¿Â½ Discuss important elements of the Six Sigma process, including key inputs and outputs and the role of Ă¯Â¿Â½Critical to Xs.Ă¯Â¿Â½ Ă¯Â¿Â½ Describe the five phases of the DMAIC improvement cycle.
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Introduction to the Theory of Constraints (com_000_01801) |
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• 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. |
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Kaizen Event (com_000_01543) |
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• 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.
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Kaizen Event for Healthcare (com_000_01874) |
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• Define Kaizen Event and discuss its purpose and application. • Explain how Kaizen Events can provide rapid organizational benefits and accelerate the execution of larger initiatives. • Walk you through the structured approach for running Kaizen Events in healthcare processes.
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Making Inferences about Variances (com_000_01891) |
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• 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. |
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Managing the Project (com_000_01572) |
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• 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. |
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Mapping the Process (com_000_01596) |
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- 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. |
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Measurement System Analysis (com_000_01589) |
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• 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. |
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Measures of Central Tendency (com_000_01598) |
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• 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. |
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Measures of Dispersion (com_000_01599) |
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• 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. |
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Multiple Regression (com_000_01939) |
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Organizing and Presenting Data (com_000_01600) |
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• 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. |
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Pareto Analysis (com_000_01563) |
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• 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 Chart. • 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. |
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PDCA (com_000_02010) |
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PDCA stands for “Plan-Do-Check-Act” and is a quality control tool. In this module, we will provide a step by step guide to the PDCA cycle and demonstrate the role of PDCA in Kaizen events and other process improvement initiatives. |
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PM: Closing (com_000_01390) |
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PM: Controlling - Earned Value Management (com_000_01380) |
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PM: Executing (com_000_01534) |
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PM: Human Resources (com_000_01379) |
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PM: Initiating (com_000_01323) |
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This module will: - Explain how to develop the Project Charter
- Identify the Project Stakeholders
- Define the purpose of the Focus Arrow and how it helps us assist with defining "Done Looks Like This"
- Describe how to create a Priority Matrix that helps us rank the customer’s wants for the project
- Determine how to create and write a Project Scope Statement |
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PM: Managing Project Changes (com_000_01405) |
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PM: Project Management Introduction (com_000_01193) |
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• 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. |
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PM: Scheduling Skills (com_000_01373) |
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PM: Scheduling Tools (com_000_01375) |
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This module will:
- Explain that Activity is a component of work performed during a project
- Discuss the difference between the types of network diagrams, Activity on Arrow and Activity on Node
- Define Duration
- Define what Dependencies and Predecessor lines are
- Discuss how to compute Early Start (ES), Late Start (LS), Early Finish (EF) and Late Finish (LF) for each node in a schedule
- Explain how to calculate the Forward and Backward Pass
- Define what Critical Path and Float Times are
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PM: Work Breakdown Structure (WBS) (com_000_01329) |
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Probability Distributions: Discrete Random Variables (com_000_01857) |
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• 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. |
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Process Capability Assessments (com_000_01566) |
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• 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. |
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Process-Based Costs (com_000_01592) |
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• 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. |
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Scatter Diagrams (com_000_01588) |
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• 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. |
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Selecting the Solution (com_000_01873) |
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• 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. |
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Simple Linear Regression (com_000_01885) |
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• 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. |
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SIPOC (com_000_01562) |
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• 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. |
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Standard Work (com_000_01546) |
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• 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.
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Standard Work for Healthcare (com_000_01866) |
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• Define Standard Work from a Lean perspective and discuss its benefits. • Explain why it is the basis for improvement. • Explain how to create, implement and improve Standard Work for healthcare processes.
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Total Productive Maintenance (com_000_01555) |
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• Describe the primary benefits gained from Total Productive Maintenance. • Identify four major categories of maintenance. • Define Overall Equipment Effectiveness.
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Visual Management (com_000_01542) |
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• 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. |
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Visual Management for Healthcare (com_000_01871) |
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• Define Visual Management and describe its purpose and benefits in healthcare. • 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.
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Voice of the Customer - (DL) (com_000_01571) |
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• 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. |
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What is Statistics? (com_000_01568) |
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• 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. |
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Workplace Design and Layout (com_000_01541) |
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• 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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