Combo Lean Six Sigma Green and Black Belts

Define the importance of strategic planning for Six Sigma projects and lean initiatives.

Demonstrate how hoshin kanri (X-matrix), portfolio analysis, and other tools can be used in support of strategic deployment of these projects. Use feasibility studies, SWOT analysis (strengths, weaknesses, opportunities, and threats), PEST analysis (political, economic, social, and technological), and contingency planning and business continuity planning to enhance strategic planning and deployment.

Demonstrate how hoshin kanri (X-matrix), portfolio analysis, and other tools can be used in support of the strategic deployment of these projects. Use feasibility studies, SWOT analysis (strengths, weaknesses, opportunities, and threats), PEST analysis (political, economic, social, and technological), and contingency planning and business continuity planning to enhance strategic planning and deployment.

Demonstrate how hoshin kanri (X-matrix), portfolio analysis, and other tools can be used in support of the strategic deployment of these projects. Use feasibility studies, SWOT analysis (strengths, weaknesses, opportunities, and threats), PEST analysis (political, economic, social, and technological), and contingency planning and business continuity planning to enhance strategic planning and deployment.

Demonstrate how hoshin kanri (X-matrix), portfolio analysis, and other tools can be used in support of the strategic deployment of these projects. Use feasibility studies, SWOT analysis (strengths, weaknesses, opportunities, and threats), PEST analysis (political, economic, social, and technological), and contingency planning and business continuity planning to enhance strategic planning and deployment.

Describe the interactive relationships among business systems, processes, and internal and external stakeholders, and the impact those relationships have on business systems.

Define and distinguish between various types of benchmarking, e.g., best practices, competitive, collaborative, breakthrough. Select measures and performance goals for projects resulting from benchmarking activities.

Define and describe balanced scorecard, key performance indicators (KPIs), customer loyalty metrics.

Define and use revenue growth, market share, margin, net present value (NPV), return on investment (ROI), and cost-benefit analysis (CBA).

Define and use revenue growth, market share, margin, net present value (NPV), return on investment (ROI), and cost-benefit analysis (CBA).

Identify and describe the classic stages of team development: forming, storming, norming, performing, and adjourning.

Objectives of this lecture are to define and describe various process components and boundaries, cross functional areas and challenges that result for process improvement efforts.

Identify and segment customers and show how a project will impact both internal and external customers.

Identify and select appropriate data collection methods (e.g., surveys, focus groups, interviews, observations) to gather voice of the customer data.

Define, select, and apply appropriate tools to determine customer needs and requirements, including critical-to-X (CTX when “X” can be quality, cost, safety, etc.).

Define, select, and apply appropriate tools to determine customer needs and requirements.

Identify the right project that is aligned with the strategic goals of the organization.

Identify the right project that is aligned with the strategic goals of the organization.

Describe business case justification used to support projects.

Develop a project problem statement and evaluate it in relation to baseline performance and improvement goals.

This is recording of one of my live sessions, those who are intersted in gettting detail concepts can view this. In this lecture the problem statement is explained in detail with live examples.

This is recording of one of my live sessions, those who are intersted in gettting detail concepts can view this.  In this lecture the problem statement is explained in detail with live examples.

Develop and review project boundaries to ensure that the project has value to the customer.

Understand various project documentation elements.

Understand and evaluate the process performance like DPMO and process yield, cost of poor quality.

Understand and evaluate the process performance like DPMO and process yield, cost of poor quality.

Understand and evaluate the process performance like DPMO and process yield, cost of poor quality.

Identify and use various analytical tools throughout the DMAIC cycle

Identify and use various analytical tools throughout the DMAIC cycle.

Identify and use various analytical tools throughout the DMAIC cycle.

Identify and use various analytical tools throughout the DMAIC cycle.

Develop process maps and review written procedures, work instructions, and flowcharts to identify any gaps or areas of the process that are misaligned.

Develop process maps and review written procedures, work instructions, and flowcharts to identify any gaps or areas of the process that are misaligned.

Develop process maps and review written procedures, work instructions, and flowcharts to identify any gaps or areas of the process that are misaligned.

Objectives of this lecture: to learn to define central limit theorem and the sampling distribution of means.

Objectives of this lecture: to learn to define central limit theorem and the sampling distribution of means.

Objectives of this lecture: to identify and classify continuous data and discrete data, measurement scales such as ratio, interval, nominal and ordinal scales, and data collection methods.

This is about basic statistics.  Recording of my live online session is given in the external link to this article.  Click to view the recording.  Such live recording is published in each phases.  Each recording is approximately 30 mins.  It is covered in depth and is a great resource beyond the curriculam of this course.  Iterested learner may Whatsapp me (+91) 9417897746 for more clarification.

Recording of one of the live sessions by faculty, explaining about the basic statistics.  Helpful for more insights.

Understand the difference between a population parameter and sample statistic.

Identify and use basic probability concepts: independent events, mutually exclusive events, multiplication rules, permutations, and combinations.

Identify and use basic probability concepts: independent events, mutually exclusive events, multiplication rules, permutations, and combinations.

Identify and classify continuous (variables) and discrete (attributes) data. Describe and define nominal, ordinal, interval, and ratio measurement scales.

Define and apply various sampling methods (random and stratified) and data collection methods

Define, calculate, and interpret measures of dispersion and central tendency. Develop and interpret frequency distributions and cumulative frequency distributions.

Define, calculate, and interpret measures of dispersion and central tendency. Develop and interpret frequency distributions and cumulative frequency distributions.

Recording of one of the live sessions.  Will help you to understand basics like mean, variance and standard deviation.

Define the central limit theorem and describe its significance in relation to confidence intervals, hypothesis testing, and control charts.

Recording of one of the live sessions, explaining CLT using Minitab, its good for deep concept.

Recording of one of the live sessions, explaining CLT using Minitab, its good for deep concept.

Recording of one of the live sessions, explaining CLT using Minitab, its good for deep concept.

Construct and interpret diagrams and charts that are designed to communicate numerical analysis efficiently, including scatter diagrams, normal probability plots, histograms, stem-and-leaf plots, box-and-whisker plots.

Construct and interpret diagrams and charts that are designed to communicate numerical analysis efficiently, including scatter diagrams, normal probability plots, histograms, stem-and-leaf plots, box-and-whisker plots.

Construct and interpret diagrams and charts that are designed to communicate numerical analysis efficiently, including scatter diagrams, normal probability plots, histograms, stem-and-leaf plots, box-and-whisker plots.

Construct and interpret diagrams and charts that are designed to communicate numerical analysis efficiently, including scatter diagrams, normal probability plots, histograms, stem-and-leaf plots, box-and-whisker plots.

This is about calculating mean and standard deviation.  Recording of my live online session is given in the external link to this article.  Click to view the recording.  Such live recording is published in each phases.  Each recording is approximately 30 mins.  It is covered in depth and is a great resource beyond the curriculam of this course.  Iterested learner may Whatsapp me (+91) 9417897746 for more clarification.

Explains how to graphically summarize a set of data with the help of Minita.  You may download Minitab trail version from its official website for practice. 

Understand Pareto analysis and identify the vital few contributors

Explains how to conduct Pareto analysis in a set of data with the help of Minitab. 

Explains how to conduct Pareto analysis in a set of data with the help of Minita. 

Define and describe various distributions as they apply to statistical process control and probability: normal, binomial, Poisson, chi-square, Student’s t, and F.

Define and describe various distributions as they apply to statistical process control and probability: normal, binomial, Poisson, chi-square, Student’s t, and F.

Understand and use Binomial distribution in Minitab

Define and describe various distributions as they apply to statistical process control and probability: normal, binomial, Poisson, chi-square, Student’s t, and F.

Define and describe various distributions as they apply to statistical process control and probability: normal, binomial, Poisson, chi-square, Student’s t, and F.

Normal distribution in  Minitab.  Recording of my live online session is given in the external link to this article.  Click to view the recording.  Such live recording is published in each phases.  Each recording is approximately 30 mins.  It is covered in depth and is a great resource beyond the curriculam of this course. 

Understanding normal distribution in Minitab

Define and describe various distributions as they apply to statistical process control and probability: normal, binomial, Poisson, chi-square, Student’s t, and F.

Calculate, analyze, and interpret measurement system capability using gauge repeatability and reproducibility (GR&R) studies.

MSA in  Minitab.  Recording of my live online session is given in the external link to this article.  Click to view the recording.  Such live recording is published in each phases.  Each recording is approximately 30 mins.  It is covered in depth and is a great resource beyond the curriculam of this course.  Excel file attached for practice.

Normal Distribution in  Minitab, google drive link recording of live sessions

Define, describe, and conduct process capability studies, including identifying characteristics, specifications, and tolerances, and verifying stability and normality.

Define, describe, and conduct process capability studies, including identifying characteristics, specifications, and tolerances, and verifying stability and normality.

Describe the relationship between these types of indices. Define, select, and calculate process capability and process performance.

Describe the relationship between these types of indices. Define, select, and calculate process capability and process performance.

Process capability in  Minitab.  Recording of my live online session is given in the external link to this article.  Click to view the recording.  Such live recording is published in each phases.  Each recording is approximately 30 mins.  It is covered in depth and is a great resource beyond the curriculam of this course. 

Process capability Minitab

Select appropriate sampling plans to create multi-vari study charts and interpret the results for positional, cyclical, and temporal variation.

Select appropriate sampling plans to create multi-vari study charts and interpret the results for positional, cyclical, and temporal variation.

Calculate the correlation coefficient and linear regression and interpret the results in terms of statistical significance (p-value). Use regression models for estimation and prediction.

Correlation, regression in  Minitab.  Recording of my live online session is given in the external link to this article.  Click to view the recording.  Such live recording is published in each phases.  Each recording is approximately 30 mins.  It is covered in depth and is a great resource beyond the curriculam of this course. 

Recording of live sessions - Correlation, regression in Minitab

Objectives of this lecture:  define and describe FMEA, describing the purpose and use of scale criteria, and calculating the Risk Priority Number (RPN).

Recognize the issues involved in identifying the root causes.

Use and interpret multivariate tools (e.g., factor analysis, discriminant analysis, multiple analysis of variance (MANOVA)) to investigate sources of variation.

Use and interpret multivariate tools (e.g., factor analysis, discriminant analysis, multiple analysis of variance (MANOVA)) to investigate sources of variation.

Use and interpret multivariate tools (e.g., factor analysis, discriminant analysis, multiple analysis of variance (MANOVA)) to investigate sources of variation.

Understand and learn the various multi variate tools.

Objectives of this lecture: to learn to define one way ANOVA, Chi-square test and interpreting the result.

Distinguish between statistical and practical significance. Determine appropriate sample sizes and develop tests for significance level, power, and type I and type II errors.

Conduct hypothesis tests to compare means, variances, and proportions (paired-comparison t-test, F-test, analysis of variance [ANOVA], chi-square) and interpret the results.

Understand the basics of null hypothesis statement.

Understand to write a null hypothesis statement for the test.

To understand which test to be followed based on the data type of dependent and independent variables.

understand which test to be followed based on the type of data of dependent and independent variables.

Conduct hypothesis tests to compare means, variances, and proportions (paired-comparison t-test, F-test, analysis of variance [ANOVA], chi-square) and interpret the results.

Conduct hypothesis tests to compare means, variances, and proportions (paired-comparison t-test, F-test, analysis of variance [ANOVA], chi-square) and interpret the results.

ANOVA in  Minitab.  Recording of my live online session is given in the external link to this article.  Click to view the recording.  Such live recording is published in each phases.  Each recording is approximately 30 mins.  It is covered in depth and is a great resource beyond the curriculam of this course.

Recordinf of live lecture - ANOVA in Minitab

Conduct hypothesis tests to compare means, variances, and proportions (paired-comparison t-test, F-test, analysis of variance [ANOVA], chi square) and interpret the results.

Chisquare test in  Minitab.  Recording of my live online session is given in the external link to this article.  Click to view the recording.  Such live recording is published in each phases.  Each recording is approximately 30 mins.  It is covered in depth and is a great resource beyond the curriculam of this course. 

Chi square test in Minitab

Learn and interpret logistic regression.

Understand the tests for distribution-free populations.

Define and describe basic Design of Experiment (DOE) terms and to interpret the main effects and interaction plots

Define and describe terms such as independent and dependent variables, factors and levels, responses, treatments, errors, repetition.

Interpret main effects analysis and interaction plots.

Select and apply tools and techniques for eliminating or preventing waste, including pull systems, kanban, 5S, standard work, and poka-yoke.

Describe the theory and objectives of SPC, including measuring and monitoring process performance for both continuous and discrete data. Define and distinguish between common and special cause variation and how these conditions can be deduced from control chart analysis.

Describe the theory and objectives of SPC, including measuring and monitoring process performance for both continuous and discrete data. Define and distinguish between common and special cause variation and how these conditions can be deduced from control chart analysis.

Describe the theory and objectives of SPC, including measuring and monitoring process performance for both continuous and discrete data. Define and distinguish between common and special cause variation and how these conditions can be deduced from control chart analysis.

Describe the theory and objectives of SPC, including measuring and monitoring process performance for both continuous and discrete data. Define and distinguish between common and special cause variation and how these conditions can be deduced from control chart analysis.

Describe the theory and objectives of SPC, including measuring and monitoring process performance for both continuous and discrete data. Define and distinguish between common and special cause variation and how these conditions can be deduced from control chart analysis.

Define and distinguish between common and special cause variation and how these conditions can be deduced from control chart analysis.

Recording of live certification programs conducted by us for the working professionals across the globe.  Any aspirant looking for a professional certification in Lean Six Sigma Green Belt or Black Belt can view this video.  First part is just introduction of six sigma and second part explains the process and discounted price of certification from OTIFAS.