Emerging Trends in Six Sigma Certification: What to Expect in 2025 and Beyond
As new challenges for the advanced industries come in and the world of Six Sigma changes as fast, professionals today are searching for certificati...
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Course Overview:
In today's competitive business landscape, organizations struggle to optimize processes and enhance efficiency to stay ahead. The combination of Six Sigma Green Belt and Strategic Robotic Process Automation (RPA) offers a comprehensive approach to process improvement and automation.
Six Sigma is a data-driven methodology aimed at eliminating defects and variations in processes to achieve operational excellence. The Six Sigma Green Belt certification equips professionals with the tools and techniques to lead process improvement initiatives within their organizations. Participants will learn how to identify opportunities for improvement, analyze data to identify root causes, and implement solutions to enhance process performance.
Robotic Process Automation (RPA) is reforming the way businesses automate repetitive tasks and streamline operations. Strategic RPA goes beyond simple automation by strategically integrating robotic processes into the organization's broader business objectives. Participants will gain insights into identifying automation opportunities, designing RPA solutions, and integrating RPA with existing systems and processes to drive efficiency and innovation.
Prerequisites
Prerequisites for this course include a basic understanding of business processes, familiarity with Microsoft Office tools, basic statistical knowledge, and basic knowledge of Quality Management or Quality tools. Prior experience in Six Sigma or robotic process automation is not required. The course is designed to accommodate participants with varying levels of experience and expertise.
Who should attend:
- Process Managers
- Quality Analysts
- Six Sigma Project team staff
- Legal Professionals
- Project and Production Managers
- Software Engineers
- Software Testing and IT Professionals
- Lean Six Sigma aspirants
- IT Professionals
Key Learning Objectives:
- Understand the principles and methodologies of Six Sigma and RPA.
- Learn how to apply Six Sigma tools and techniques to identify and eliminate process inefficiencies.
- Gain insights into the strategic application of RPA to drive business process automation.
- Explore case studies and real-world examples of successful Six Sigma and RPA implementations.
- Develop practical skills to lead process improvement and automation initiatives within your organization.
- Learn how to measure and track the impact of Six Sigma and RPA initiatives on key performance indicators (KPIs) and business outcomes
- Gain practical experience in implementing RPA solutions using leading automation tools and platforms.
- Understand the role of Six Sigma and RPA in driving organizational performance and competitive advantage.
Course Curriculum
- Six Sigma and Organizational Goals
- Value of Six Sigma
- Organizational Goals and Six Sigma Projects
- Organizational Drivers and Metrics
- Lean Principles in the Organizational
- Lean Concepts
- Value Stream Mapping
- Design for Six Sigma Methodologies (DFSS)
- Roadmaps for DFSS
- Basic Failure Mode and Effects Analysis (FMEA)
- Design FMEA and Process FMEA
- Project Identifications
- Project Selection
- Project Selection
- Process Benchmarking
- Process Inputs and outputs
- Owners and Stakeholders
- Voice of the Customer (VoC)
- Customer Identification
- Customer Data
- Customer Requirements
- Project Management Basics
- Project Charter o Project Scope
- Project Metrics o Project Planning Tools
- Project Documentation
- Project Risk Analysis o Project Closure
- Management and Planning Tools
- Business Results for Projects
- Process Performance
- Communications
- Team Dynamics and Performance
- Team Stages and Dynamics
- Team Roles and Responsibilities
- Team Tools o Team Communication
- Process Analysis and Documentation
- Probability and Statistics
- Basic Probability Concepts
- Central Limit Theorem
- Statistical Distributions
- Collecting and Summarizing Data
- Types of Data and Measurement Scale
- Sampling and Data Collection Methods
- Descriptive Statistics o Graphical Methods
- Measurement and System Analysis
- Process and Performance Capability
- Process Performance versus Process Specifications
- Process Capabilities Studies
- Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk) Indices
- Short Term versus Long Term Capability and Sigma Shift
- Exploratory Data Analysis
- Multi-vary Studies
- Correlation and Linear Regression
- Hypothesis Testing
- Basics
- Tests for means, Variances and proportions
- Design of Experiment (DoE)
- Basic Terms
- DoE Graphs and Plots
- Root Cause Analysis
- Lean Tools
- Wastes Elimination
- Cycle Time Reduction
- Kaizen and Kaizen Blitz
- Statistical Process Control (SPC)
- SPC Basics
- Rational Subgrouping
- Control Chart
- Control Plan
- Lean Tools for Process Control
- Total Productive Maintenance (TPM)
- Visual Factory
This lesson will demonstrate some basic actions and tools required to effectively use Minitab
- Statistical Process Control (SPC)
- SPC Basics
- Rational Subgrouping
- Control Chart
- Control Plan
- Lean Tools for Process Control
- Total Productive Maintenance (TPM)
- Visual Factory
This lesson will demonstrate how to input and manipulate data into a Minitab Worksheet. Techniques include:
- Copy / Paste from other programs
- Typing in Data
- Using Patterned Data
- Opening Other Formats
- Changing Data Types
- Code Data
- Sort Data
- Date/Time Formats
This lesson will demonstrate how to manipulate worksheets in Minitab including:
- Rearranging Columns
- Stack / Unstack Columns
- Transpose Columns
- Split Worksheet
- Subset Worksheet
- Stack / Merge Worksheets
- Set Descriptions for Columns and Worksheets
- Conditional Formatting
This lesson will demonstrate how to Create, Edit, and Annotate the following Graphs:
- Individual Value Plot
- Dot Plot
- Histogram
- Box Plot
- Interval Plot
- Line Plot
- Time Series Plot
- Scatter Plot
- Bar Chart
This module will demonstrate many Data Analysis functions within Minitab including:
- Tests on Proportions
- Tables / Chi-Square
- ANOVA
- 2-Sample t Test
- Paired t-Test
- Variance Tests
- Correlation
- Simple Linear Regression
- Sample Size
- Focus on high volume, repetitive tasks
- Expected savings
- Indus tries and functions best suited
- Prepare, Solution Design, Build, Test, Stabilize, and Continuous Improvement
- Processes to choose and processes to avoid.
- Features and functionalities
- Common applications
- Collating information from the internet
- Sending automated emails for orders
- Scarping Data from Internet
Valued Industry Leaders We Have Trained For
Certificate of Achievement
Frequently Asked Questions
The Lean Six Sigma certification approach provides various tiers to aid in the development of your skill set. the following are the tiers:
- Yellow Belt
- White Belt
- Black Belt
- Champion
- Black Belt Master
- Professionals are encouraged to continue any unfinished previous belts or advance to black belt training after completing the Lean Six Sigma Green Belt course. Prior to undertaking the Lean Six Sigma levels, it is imperative to review the requirements.
Green Belt certification is required for the Black Belt. We will accept Green Belt certification from organizations providing similar training and project certification.
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