| Module Title:
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2k Factorial Experiments with Centerpoints and Blocking
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| Module Description:
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This course demonstrates the use of center points within designed experiments. The course also describes 2-level factorial designs, including the terminology, notation and analysis of these designs.
Time allocation: 50 minutes
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5S
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| Module Description:
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5S is a Lean method designed to eliminate waste by establishing a place for everything and putting everything in its place. The five S’s represent Sorting, Storing, Shining, Standardizing and Sustaining. Each of these activities is carefully explained during this course so that students understand what 5S is or is not, as well as the benefits of 5S. Examples and an interactive simulation help illustrate 5S in the workplace.
Time allocation: 70 minutes
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Advanced Regression
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| Module Description:
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This course discusses prediction and forecasting with regression models. The course also demonstrates higher-order models and introduces Multiple Linear Regression for higher-order.
Time allocation: 33 minutes
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ANOVA - Analysis of Variance
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| Module Description:
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Concepts covered in this course include ANOVA, or Analysis of Variance, sum of squares and mean square error. A detailed process for executing a successful ANOVA is demonstrated and calculations are practiced using Minitab. This course is intended for Six Sigma practitioners, team members, and process owners.
Time allocation: 60 minutes
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Attribute Measurement Systems - Level 2
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| Module Description:
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This module demonstrates Attribute Repeatability & Reproducibility by looking at the different types of measurement systems available, by illustrating how to execute an Attribute R&R, and by actually applying an Attribute R&R to a process.
Time allocation: 72 minutes
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Basic Factorial Experiments
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| Module Description:
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This course covers Full Factorials and introduces 2K Factorials. General factorial experiment design and analysis are demonstrated, and several concepts are introduced including main effects and interactions, as well as key DOE terms. In addition, this course shows how to derive Y as a function of X. This module is intended for Six Sigma practitioners, team members, and process owners.
Time allocation: 96 minutes
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Basic Statistics
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| Module Description:
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This comprehensive module discusses data types, introduces populations versus samples, and describes measures of central tendency and variation. This module also covers frequency distributions and discusses long-term versus short-term variation, DPMO, and DPU.
Time allocation: 64 minutes
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Basic Tests of Hypotheses
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| Module Description:
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This module introduces the concept of statistical hypothesis testing, defines the null and alternate hypotheses, provides a general method for constructing a hypothesis test, and demonstrates how to use MINITAB for hypothesis testing.
Time allocation: 91 minutes
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| Module Title:
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Black Belts as Pioneers
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| Module Description:
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Designed to discuss different views of the Six Sigma experience, this course describes the Six Sigma vision and a Black Belt's role in that vision. The course is also used to discuss expectations of the Black Belt role and the deliverables associated with being a Six Sigma practitioner. Finally, the course discusses how to sustain lasting results for both the company and the Black Belt.
Time allocation: 10 minutes
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| Module Title:
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Brainstorming Techniques
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| Module Description:
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Brainstorming is one of the key tools used to generate ideas and solutions. In this course, students will learn about six types of brainstorming techniques: Imaginary Brainstorming, HIT Matrix, Concept Tree, SCAMPER, Brainwriting 6-3-5 and Random Stimulus.
Time allocation: 37 minutes
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Building a Cause & Effect Matrix
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| Module Description:
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This course describes how to build and analyze a cause and effect matrix, or “C&E Matrix.” The C&E matrix links the critical-to-quality aspects of a process to the previously identified causes and effects. It is a very useful tool for prioritizing the factors that have the highest impact on customer satisfaction, and choosing the correct factors that require further measurement.
Time allocation: 15 minutes
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Building a Control Plan
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| Module Description:
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The Control Plan is one of the most essential tools in process excellence. It allows practitioners to gain buy-in for the solution, establish sustainable improvements, and transition ownership of the process back to the team. In this module, students will learn how to complete this document.
Time allocation: 25 minutes
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Building an FMEA
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| Module Description:
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The Failure Modes and Effects Analysis, or FMEA, identifies key errors, assigns severity, determines occurrence, and identifies the ease of detection of those errors. In this module, students will learn to use the risk assessment tool to identify critical "failure modes," potential issues can be prioritized and resolved.
Time allocation: 30 minutes
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Building Commitment
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| Module Description:
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This course focuses on the "people" challenges project leaders face when implementing a project. The course includes tools and techniques to address these challenges and explores the different types of resistance to change. Finally, this course teaches the project leader how to manage stakeholders, overcome resistance, and gain acceptance.
Time allocation: 32 minutes
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Building Six Sigma Infrastructure
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| Module Description:
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This course defines the Six Sigma infrastructure and explains how to develop it within an organization.
Time allocation: 37 minutes
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Building Teams
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| Module Description:
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This module, focused on team building and managing teams, it includes the following topics: The stages of team development, using the appropriate tools to build a team, managing meetings effectively, and basic facilitation techniques. All of these techniques provide the proper framework for team success.
Time allocation: 24 minutes
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| Module Title:
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Capability Analysis - Level 2
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| Module Description:
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Lean Six Sigma practitioners and project team members will get a thorough understanding of what it means to perform a capability analysis and the benefits that can be gained from quantifying the capability of a process. It covers several concepts such as short-term vs. long-term capability, various capability metrics, and a four step process for calculating capability for attribute and variable performance characteristics.
Time allocation: 127 minutes
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| Module Title:
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Confidence Intervals
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| Module Description:
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This course reviews the ways of quantifying the statistical uncertainty of sampling. It describes how to use sample statistics to calculate and interpret confidence intervals for the population mean, the population standard deviation and the population proportion. Confidence Intervals is recommended to anyone who is involved in data analysis activities.
Time allocation: 52 minutes
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Constructing Control Charts
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| Module Description:
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This module describes the types of Control Charts used in monitoring and controlling a process, including Xbar-R, I-MR, P and NP, and U and C charts. The module explains how to manually construct each chart by calculating control limits, setting zones and plotting data, and demonstrates how to create each chart type in Minitab. In addition, the module discusses the guidelines for selecting the appropriate chart type and how to interpret chart results.
Time allocation: 99 minutes
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Contingency Tables and Chi Square
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| Module Description:
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This course introduces contingency tables in order to aid in the analysis of attribute data. The course demonstrates contingency table calculations and provides exercises to practice.
Time allocation: 39 minutes
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Control Methods
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| Module Description:
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The purpose of control methods is to reduce the potential for any defect to occur. This module will review Countermeasures, Flags, SPC, Inspection, SOPs and Warning Signals and rate their ability to detect and prevent defects.
Time allocation: 18 minutes
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| Module Title:
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Correlation and Simple Linear Regression
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| Module Description:
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This course explains the difference between correlation and regression. It introduces the concepts of simple linear modeling and regression techniques. The course also provides exercises for practicing correlation and regression techniques
Time allocation: 43 minutes
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Creating a Pilot Plan
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| Module Description:
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A pilot allows teams to test and revise solutions before deploying them across an organization. The focus of this module is the 8-step roadmap recommended for piloting solutions.
Time allocation: 18 minutes
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Creating a Shared Need
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| Module Description:
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In order to successfully implement organizational change, a desire for change needs to be shared by the project team and key stakeholders. This course teaches project leaders how to identify a need, utilize the threats and opportunity matrix, build a case for change, and overcome resistance.
Time allocation: 14 minutes
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| Module Title:
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Creating Awareness
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| Module Description:
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This module discusses how to create awareness for any change being implemented. It also introduces change dynamics and some typical change patterns.
Time allocation: 8 minutes
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| Module Title:
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Creating Pareto Charts
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| Module Description:
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This module introduces the Pareto Principle, which suggests that a large majority of problems (80%) are produced by a few key causes (20%). It also demonstrates how to construct and analyze a Pareto Chart.
Time allocation: 17 minutes
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| Module Title:
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Current State Value Stream Maps
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| Module Description:
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This course explains a primary Lean concept, value stream mapping, and its role in identifying waste in and between processes. The course explores the aspects of a value stream -- all actions and process steps, both value-add and non-value-add -- required to create a product or service. Concepts such as SIPOC, top down flow chart, process flow mapping, and RBWA are discussed in the 8-step process to creating a value stream map. The course requires an understanding of process flow mapping.
Time allocation: 41 minutes
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| Module Title:
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Data Collection
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| Module Description:
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Proper data collection is critical to the correct analysis and reporting of key business metrics. The fundamental topics covered in this course include discrete vs. continuous data types, scales of measurement, specific data collection principles, converting attribute data to variable data, sample size considerations, sampling strategies and data gathering strategies.
Time allocation: 39 minutes
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| Module Link:
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| Module Title:
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Design for Six Sigma
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| Module Description:
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This course will explore Design for Six Sigma (DFSS), a powerful problem solving methodology for building new processes and products. The presentation will define DFSS, list and define the key variables for each phase, and identify the characteristics of a DFSS project.
The course will contrast Six Sigma projects with DFSS projects and help identify when it is most appropriate to use each method. As an introductory course, it is appropriate for employees of all levels.
Time allocation: 50 minutes
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| Module Link:
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| Module Title:
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Designed Experiments with Attribute Responses
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| Module Description:
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The purpose of this module is to review the nature of categorical data variables. We will introduce methods to evaluate binomial response variables using factorial designs.
Time allocation: 19 minutes
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| Module Link:
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| Module Title:
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DMAIC for Teams
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| Module Description:
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This course examines team member responsibilities and project objectives in each phase of the Lean Six Sigma process. It is designed specifically for individuals who will be participating on a Lean Six Sigma project team.
Time allocation: 76 minutes
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| Module Title:
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Evaluating Solution Ideas
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| Module Description:
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Evaluating and prioritizing ideas is key to understanding which solutions should be implemented for long-term success. This module includes a review of the solution selection process and discusses several tools that can be used to prioritize and evaluate ideas. It also addresses ways to gain agreement within an organization.
Time allocation: 26 minutes
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| Module Title:
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Fishbone Diagrams
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| Module Description:
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This module introduces the Fishbone Diagram, its purpose, and its application. It also explains how to construct a Fishbone Diagram.
Time allocation: 14 minutes
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| Module Title:
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Flow
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| Module Description:
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This module introduces the concept of Flow, which is the balancing of internal resources to meet external demand. Topics include Takt Time, Cycle Time, Lead Time, Work Flow Balance, Standard Work and Cellular Design.
Time allocation: 39 minutes
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| Module Title:
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Fractional Factorial DOE
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| Module Description:
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To finish the discussion of designed experiments, this course presents the design and analysis of partial designs. The course introduces the concept of fractional factorial designs and defines the terminology associated with these designs. Finally, the course demonstrates the design and analysis of fractional factorial designs.
Time allocation: 27 minutes
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| Module Title:
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Future State Value Stream Maps
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| Module Description:
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This module explains the concept of a "Future State" Value Stream Map. It discusses how to design the Future, or Ideal, State of a process using Lead Time, Cycle Time, and Takt Time. It also describes methods to achieve the Future State, including Spaghetti Diagrams, Cellular Layout, 5S, and Visual Controls.
Time allocation: 29 minutes
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| Module Title:
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Generating Solution Ideas
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| Module Description:
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In this course, students will learn a variety of tools used to produce solutions aimed at reducing the effects of root cause issues. Techniques explored include brainstorming, benchmarking, open innovation, and biomimicry. Students will also learn how to group and clarify ideas in preparation for evaluating solutions.
Time allocation: 24 minutes
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| Module Title:
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High-Level Process Maps
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| Module Description:
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In this module, students are introduced to high-level process maps, specifically Macro Maps and SIPOC Diagrams. Coverage includes the purpose of each map, the steps necessary to create each map, and a demonstration of how to apply each map.
Time allocation: 24 minutes
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| Module Link:
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| Module Title:
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Hypothesis Testing
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| Module Description:
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Using Hypothesis Testing, practitioners learn how to prove and disprove theories, leading to more sound and statistically-based decisions.
Time allocation: 44 minutes
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| Module Link:
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| Module Title:
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Inside the Innovation Elite
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| Module Description:
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Inside the Innovation Elite brings business leaders up to date on the exciting developments of standout performers in innovation, and gives executives the tools they need to apply their methods to create successful, sustainable innovation programs. This online executive briefing reveals the five mega-disciplines that firms in the forefront of innovation use to drive growth, meet the ever-changing needs of customers, and revitalize internal processes to embrace change. This briefing is ideal for C-level executives who are concerned about their companies’ ability to stimulate organic growth.
Time allocation: 41 minutes
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| Module Link:
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| Module Title:
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Introduction to DOE (Design of Experiments)
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| Module Description:
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This introductory course will explore Design for Six Sigma (DFSS), an alternate problem solving methodology. The presentation will define DFSS, list and define the key variables for each phase, and identify the characteristics of a DFSS project. The course will contrast Six Sigma projects with DFSS projects and help identify when it is most appropriate to use each method. Using DOE, you’ll learn how to model processes as equations to find the optimal situation where all of the requirements can be met at the lowest possible cost. As an introductory course, it is appropriate for all levels of the organization.
Time allocation: 49 minutes
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| Module Link:
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| Module Title:
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Introduction to Innovation
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| Module Description:
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In this introductory course, students will learn why innovation is critical to the long-term success of their business. They will also learn the key principles of innovation and how it works with existing process improvement programs.
Time allocation: 23 minutes
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| Module Link:
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| Module Title:
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Introduction to Lean
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| Module Description:
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Appropriate for all levels of the organization, this introductory course provides a high-level, interactive overview of the fundamental concepts of Lean. Approaching the topic from both a practical and a historical perspective, the course introduces Lean’s central tenet – the elimination of waste and the identification of value-added activities. Students will also learn how the origins of Lean influenced other key concepts including value, flow and pull.
Time allocation: 41 minutes
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| Module Link:
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| Module Title:
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Introduction to Lean Six Sigma
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| Module Description:
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Appropriate for all levels of the organization, this introductory course provides a high-level overview of the fundamental concepts of Lean Six Sigma. It describes the Lean Six Sigma methodology, the role of a Lean Six Sigma Black Belt, and what it takes to create a successful Lean Six Sigma culture.
Time allocation: 50 minutes
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| Module Title:
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Introduction to Logistic Regression
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| Module Description:
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Logistic regression is a special case of regression analysis that helps you estimate the likelihood of events occurring based on past events. This course introduces the concept of binary logistic regression to model outcomes expressed as probabilities. The course will also demonstrate logistic regression techniques using Minitab.
Time allocation: 18 minutes
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| Module Title:
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Introduction to Minitab
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| Module Description:
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This course is an introduction to Minitab, the statistical software utilized by Six Sigma practitioners, quality leaders and statisticians to help them analyze data.
Time allocation: 45 minutes
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| Module Link:
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| Module Title:
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Introduction to Statistical Process Control (SPC)
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| Module Description:
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From the history of Statistical Process Control (SPC) to the difference between common cause and special cause variation, this course describes how to use SPC to measure and control process variation. Run Charts and Control Charts are illustrated and defined, and the rules for interpreting the charts are described in detail. Finally, the course discusses how practitioners can use Control Charts to assess variation and take action to improve processes.
Time allocation: 59 minutes
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| Module Title:
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Introduction to Statistics - Level 2
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| Module Description:
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The ability to understand and use statistical data is crucial to the success of any Lean Six Sigma project. This module introduces basic statistical concepts including populations and sampling, measures of central tendency, and measures of variation.
Time allocation: 97 minutes
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| Module Link:
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| Module Title:
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Job to be Done
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| Module Description:
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The innovation job to be done is the key to fulfilling client needs. In this course, students will learn how to identify and understand the jobs their customers want done, as well as a process to articulate those desires.
Time allocation: 20 minutes
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| Module Title:
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Kanban
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| Module Description:
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This course discusses the concept of “Kanban” which simply means “visual signal.” It introduces how to use Kanban to control the movement and production of new inventory.
Time allocation: 27 minutes
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| Module Link:
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| Module Title:
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Kano Analysis
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| Module Description:
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his module outlines the purpose of the Kano model and how it links customer requirements to customer satisfaction in products or services. In addition, this module outlines how the Kano model helps create differentiation and a competitive advantage.
Time allocation: 9 minutes
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| Module Title:
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Keeping Change Momentum
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| Module Description:
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In this module, project leaders learn how to maintain change momentum. The module introduces the Force Field Analysis tool, which helps to assess the change and aids the project leader in ensuring the change is sustained.
Time allocation: 9 minutes
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| Module Link:
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| Module Title:
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Leading and Communicating Change
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| Module Description:
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In this module, you will take a look at leading and communicating change. Some of the topics include the Change Process Model and how the Change Process relates to a project. You will also be introduced to some change management tools to help effectively manage change.
Time allocation: 9 minutes
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| Module Link:
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| Module Title:
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Making Change Last
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| Module Description:
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In this course, project leaders learn that the key to making change last is continuous measurement and review. This course also discusses stakeholder management and how it can help to reduce risk.
Time allocation: 7 minutes
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| Module Title:
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Mid-Level Process Maps
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| Module Description:
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Mid-level process maps provide a clear and in-depth understanding of a process in order to improve it. In this module, students learn how to create a Process Flow Diagram that leverages Value Add/Non-Value Add analysis, and also how to create a Swimlane Map that correlates process steps with accountability.
Time allocation: 31 minutes
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| Module Title:
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Mistake Proofing
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| Module Description:
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Mistake proofing is based on the concept that errors can be avoided if the appropriate mistake proofing techniques are used. This module reviews the techniques that can be used to mistake proof a process as well as the eight behaviors that lead to mistakes. This module also compares mistake proofing to the common types of control methods.
Time allocation: 25 minutes
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| Module Title:
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Outcome Expectations
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| Module Description:
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Outcome expectations are the expectations that surround an innovation job to be done. In this course, students will learn how to identify the outcome expectations for a specific job to be done, how to measure importance and satisfaction for outcome expectations and how to calculate and prioritize new opportunities that are the result of understanding outcome expectations.
Time allocation: 15 minutes
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| Module Link:
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| Module Title:
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Preparing to Manage Change
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| Module Description:
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The human aspect of leading a project is often much more challenging than the technical aspect. This course discusses how to manage the human aspect of change, the role of the project leader in leading change, and how to identify and manage stakeholders.
Time allocation: 19 minutes
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| Module Title:
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Preventing Human Error
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| Module Description:
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This course explains how human factors result in errors. It presents three modes of human behavior and the most typical errors that humans make when operating in these modes. The course also explains ways in which to prevent human error.
Time allocation: 50 minutes
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| Module Link:
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| Module Title:
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Process Analysis Tools
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| Module Description:
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This module explains the purpose of process analysis tools and examines when they should be used. It includes specific instructions for how to create a Detailed Process Map and Standard Work Combination Sheet, two widely-used approaches to process analysis.
Time allocation: 31 minutes
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| Module Link:
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| Module Title:
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Project Closure
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| Module Description:
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Effectively driving projects to closure is critical to sustaining long-term Lean Six Sigma gains. This course details the key steps to successful project closure.
Time allocation: 38 minutes
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| Module Link:
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| Module Title:
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Project Definition
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| Module Description:
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This course explains the metrics necessary to create well-defined projects, including primary and consequential metrics, baselines, entitlements, and targets.
Time allocation: 90 minutes
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| Module Link:
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| Module Title:
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Project Identification
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| Module Description:
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Project Identification is the first step in creating a plan for improving business through the application of business metrics.
Time allocation: 55 minutes
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| Module Link:
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| Module Title:
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Project Prioritization
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| Module Description:
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This course introduces a powerful process for recognizing and prioritizing Lean Six Sigma projects using the C&E Matrix.
Time allocation: 87 minutes
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| Module Link:
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| Module Title:
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Project Scoping
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| Module Description:
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In order to be successful, projects must be properly scoped to the right level of complexity before being handed over to a Lean Six Sigma team.
Time allocation: 82 minutes
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| Module Link:
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| Module Title:
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Provocation and Movement
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| Module Description:
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Provocation and Movement is designed to shock people out of their standard pattern of thinking. This course will demonstrate the Provocation and Movement technique and provide the steps necessary to conduct it within a team.
Time allocation: 26 minutes
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| Module Link:
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| Module Title:
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Pull
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| Module Description:
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This module defines the Lean concept of Pull, and how to build a Pull system to regulate the flow of production. As part of the discussion, it covers how to calculate lead time and work-in-process, Little's Law, and Kanban.
Time allocation: 32 minutes
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| Module Title:
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Randomized Block Design
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| Module Description:
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To aid in the development of designed experiments, this course introduces the idea of blocking. The course also demonstrates a method used for accounting for noise variables in the experiment.
Time allocation: 20 minutes
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| Module Link:
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| Module Title:
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Reducing Setup Time
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| Module Description:
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Reducing the time it takes to move from one process to another is critical to improving productivity, quality and customer satisfaction. In this module, students will learn the best method to document long setups, as well as the 5-step process for reducing setup time. Incorporates the concepts of SMED, Quick Changeovers and Rapid Setup.
Time allocation: 31 minutes
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| Module Link:
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| Module Title:
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Rolled Throughput Yield (RTY)
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| Module Description:
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This course explains the concept of Rolled Throughput Yield, or RTY. The course also defines measurements of defects, including Defects Per Unit (DPU), Defects per Million Opportunities (DPMO), and Defective Parts per Million (DPPM). The course also describes the concept of the Hidden Factory.
Time allocation: 51 minutes
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| Module Link:
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| Module Title:
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Sample Size for Hypothesis Tests
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| Module Description:
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This course reviews the types of hypothesis testing errors and defines sample size terminology, including Power, Critical Difference, Delta, and Specific Hypothesis. The course also demonstrates calculating sample sizes for 1-sample Z-tests, 1-sample and 2-sample T-tests, 1-proportion and 2-proportion tests and 1-variance and 2-variance tests.
Time allocation: 45 minutes
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| Module Link:
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| Module Title:
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Sample Size Selection
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| Module Description:
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This course reviews the types of hypothesis testing errors and defines sample size terminology, including Power, Critical Difference, Delta, and Specific Hypothesis. The course also demonstrates calculating sample sizes for 1-sample Z-tests, 1-sample and 2-sample T-tests, 1-proportion and 2-proportion tests and 1-variance and 2-variance tests.
Time allocation: 45 minutes
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| Module Link:
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| Module Title:
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Shaping a Vision/Mission
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| Module Description:
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This course explores how to create a vision that inspires stakeholders to implement change, and the tools and techniques that can help a project leader define the vision clearly. This course concludes by discussing the pitfalls of ineffective vision statement.
Time allocation: 14 minutes
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Six Sigma from 50,000 feet
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Appropriate for all levels of the organization, this introductory course provides a high-level overview of the fundamental concepts of Six Sigma.
Time allocation: 60 minutes
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Six Sigma Literally Speaking
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This course explores the meaning behind the phrase "Six Sigma."
Time allocation: 46 minutes
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Six Sigma Metrics (RTY)
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This module describes the key concepts and metrics used when defining a Six Sigma project.
Time allocation: 72 minutes
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Six Sigma Roles and Phases
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Designed for executives and managers, this course describes the key roles individuals play during the phases of the Six Sigma process. Every individual responsible for deploying Six Sigma within an organization should view this course.
Time allocation: 50 minutes
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Spaghetti Diagrams
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Spaghetti Diagrams are used to document the movement of people and resources during a process. This module explains how to create a Spaghetti Diagram, as well as how to analyze the results to reduce wasted movement.
Time allocation: 17 minutes
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Standard Work
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This module addresses three different components of standard work: ‘TAKT’ time or customer demand; Work in Process (WIP), which is the minimum amount of inventory needed in order to achieve a smooth flow; and Standard Operating Procedures (SOPs) to document standard routines or procedures.
Time allocation: 36 minutes
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Survey Design and Analysis
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This course provides an overview of survey techniques and discusses the purpose of surveys. The course reviews data categories, service quality dimensions, survey problems, the difference between structured and open-ended questions, the concept of survey sampling and survey analysis techniques.
Time allocation: 50 minutes
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The Eight Types of Waste
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This course explains why eliminating waste (non-value-added activities) relates directly to the five principles of Lean. In addition to learning how to identify each type of waste, students will discover the three rules of waste and the three key questions that define value. A helpful acronym for recalling the eight types of waste enhances retention; real world examples and checkpoints aid comprehension.
Time allocation: 43 minutes
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The Five Principles of Lean
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This module explores the 5 Principles of Lean:
- Value: What the customer is willing to pay for.
- Value Stream: Actions that add value to a product or process.
- Flow: The continuous movement of product, favoring single-piece flow and work cells versus production lines.
- Pull: Replacing only material that is used and eliminating excessive inventory.
- Strive for Perfection: A relentless elimination of waste on a never-ending basis.
Time allocation: 38 minutes
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Understanding Graphs - Level 2
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Graphing data is the best way to communicate results. This course explains how to understand data and convert it into useful, visual information. Individuals responsible for collecting, presenting, and/or analyzing data will find this module of great value.
Time allocation: 146 minutes
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Understanding What to Measure
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This module introduces a generic process model and discusses how a process transforms inputs into outputs. In others words, it illustrates how Output Y is a function of Input X. To measure process performance, the input, process and output variables should be documented to get the complete picture.
Time allocation: 13 minutes
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Variable Measurement Systems - Level 2
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This module introduces Variable Repeatability & Reproducibility measurement systems and the related concepts of Accuracy, Resolution and Precision. The Variable R&R tool is used when operators are measuring continuous or variable data such as time, height, weight, and pressure.
Time allocation: 82 minutes
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Variance and Sigma Testing
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This course demonstrates the three hypothesis tests for variances, including the Single-variance test (Chi-square test), the Two-variance test (F-test), and the Multi-variance test (Test for Equal Variances). The course also provides exercises to practice hypothesis testing for variances.
Time allocation: 36 minutes
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Visual Management
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This module discusses how visual management techniques can be used to enable process control. It provides examples of visual signals used across a variety of industries, as well as discusses a plan that can be used to implement visual management within a company.
Time allocation: 33 minutes
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