The Powerful Lean Six Sigma Tool Kit: Master 30 Proven Tools
The Powerful Lean Six Sigma Tool Kit: Master 30 Proven Tools
Published 5/2023
Created by International Institute of Excellence & Effective Leadership (IIEEL)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 35 Lectures ( 50m ) | Size: 312 MB
A Comprehensive Guide to the Top 15 Management and 15 Statistical Tools for Successful Lean Six Sigma Projects
What you'll learn
earners will be able to effectively apply a wide range of management and statistical tools to drive process improvement, enhance decision-making
Learn clear fundamentals of 30 powerful tools covering Management and Statistical topics of Lean Six sigma Black belt level
Understand the concept and templates used for the Management tools and when to apply this
Clear understanding of Statistical tools and the inference drawn out of it and also know when to use it
Requirements
No pre requisites. Any curious learner can take up this course
Description
Are you looking to improve your organization's processes and drive operational excellence? This comprehensive course covers the essential Lean Six Sigma tools and techniques you need to achieve process improvement and create sustainable business value.Operational excellence can be achieved by applying Lean Six sigma tools and Technique by using DMAIC methodology. There are many key Management and Statistical tools which are used in various phase of DMAIC. In this course IIEEL have designed 30 powerful tools which is very important for driving operational excellence projects Led by an experienced Operational Excellence expert, this course covers everything from project chartering and process mapping to statistical tools such as control charts and design of experiments. By the end of this course, you will have a deep understanding of how to identify, analyze, and improve processes to achieve operational excellence and create sustainable business value.Here are some of the specific topics that will be covered in this course: The 15 Management Tools Project Charter: Define the scope, goals, and deliverables of a project to ensure alignment with business objectives.CTQ Drill Down: Identify critical-to-quality factors to improve process performance and customer satisfaction.Data Collection Format/Kano Model: Collect and analyze customer feedback to drive continuous improvement.SIPOC: Map out the suppliers, inputs, process, outputs, and customers of a process to identify opportunities for improvement.Process Mapping: Create process maps to visualize process flow and identify areas of waste and inefficiency.Prioritization Matrix: Prioritize improvement opportunities based on impact and effort.Swim Lane Diagram: Visualize and analyze process flow across multiple departments or functions.Value Stream Mapping: Map the flow of materials, information, and resources to identify areas of waste and inefficiency.Waste Elimination Format: Identify and eliminate waste in processes to reduce costs and improve efficiency.Fishbone Diagram: Analyze and identify the root causes of a problem or issue.Failure Mode Effect Analysis: Identify and mitigate potential risks and failures in a process.FMEA Improvement Actions: Develop and implement improvement actions to mitigate risks and prevent failures.5S: Implement workplace organization and standardization to improve efficiency and safety.Kaizens: Facilitate and implement continuous improvement through Kaizen events.Control Plan: Develop and implement controls to maintain process performance and prevent defects.The 15 Statistical Tools Histograms: Visualize the frequency distribution of continuous data to understand patterns and variations.Control Charts: Monitor process performance and detect any shifts or trends using statistical control limits.Normality Test: Determine whether a dataset follows a normal distribution, a critical assumption for many statistical analyses.Pareto Diagrams: Identify and prioritize the most significant factors or causes based on their frequency or impact.Box Plots: Display the distribution of a dataset, including measures such as median, quartiles, and outliers.DPMO (Defects Per Million Opportunities): Calculate and evaluate the performance of a process in terms of defects per million opportunities, even with non-normal data.Process Capability: Measure and assess the ability of a process to meet customer specifications and requirements.Hypothesis Testing (t-Test): Analyze sample data to test hypotheses about population means and determine statistical significance.ANOVA (Analysis of Variance): Compare means across multiple groups to determine if there are statistically significant differences.Scatter Plots: Visualize the relationship between two continuous variables to identify patterns and correlations.Matrix Plots: Analyze the relationship between multiple variables using a matrix of scatter plots.Regression Analysis: Model and analyze the relationship between dependent and independent variables to make predictions and understand causality.Design of Experiments: Plan and conduct experiments to identify the effects of various factors and optimize process performance.This course is designed for professionals seeking to enhance their operational excellence skills and improve business processes in any industry. Whether you are a business owner, project manager, or quality professional, this course will equip you with the tools and techniques needed to drive continuous improvement and deliver real business value.
Who this course is for
All Professionals in various industries seeking to enhance their skills in process improvement and operational excellence.
Quality managers, project managers, and continuous improvement practitioners who want to expand their knowledge of management and statistical tools.
Individuals responsible for driving process improvement initiatives and seeking to apply data-driven decision-making to achieve operational excellence.
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