This Digital Green Belt course offers a comprehensive introduction to the world of process improvement, equipping you with the foundational skills needed to drive efficiency and quality in any organisation. Through hands-on learning, you will develop a mindset geared toward transformation, embracing automation and AI as key enablers of sustainable business success. Ideal for those looking to make a significant impact in their careers by mastering the basics of Lean Six Sigma and digital transformation.
Gain a solid foundation in Lean Six Sigma principles and methodologies. This course introduces you to the core concepts of process improvement, equipping you with the knowledge to identify and eliminate inefficiencies in your organisation.
Engage in hands-on projects that bring Lean Six Sigma to life. You’ll learn how to apply the tools and techniques in real-world scenarios, developing the confidence and expertise to lead successful process improvement initiatives.
Begin to see the possibilities that Intelligent Automation and AI bring to process improvement. This course helps you cultivate a forward-thinking approach, preparing you to integrate cutting-edge technologies into your continuous improvement strategies.
Overview of Six Sigma and the Organisation
This module introduces the foundational concepts of Six Sigma and how they align with organisational goals. You will learn about the value of Six Sigma, Lean principles, and how these methodologies integrate into the broader business strategy.
Value of Six Sigma: Understand how Six Sigma methodologies add value to an organisation by improving quality and reducing waste.
Organisational Goals and Six Sigma Projects: Learn how to align Six Sigma projects with the strategic goals of the organisation.
Organisational Drivers and Metrics: Explore key drivers and metrics that guide organisational performance and how Six Sigma impacts them.
Lean Concepts: Get introduced to Lean principles and how they complement Six Sigma to streamline processes and reduce waste.
Value Stream Mapping: Learn to map out the flow of materials and information, identifying areas of waste and opportunities for improvement.
Road Maps for DfSS: Explore the roadmaps and methodologies used in Design for Six Sigma to ensure products and processes meet customer expectations.
Basic Failure Mode and Effects Analysis (FMEA): Learn the basics of FMEA, a tool used to anticipate and mitigate potential failures in processes and products.
Design FMEA and Process FMEA: Delve into the specifics of conducting Design and Process FMEA to enhance reliability and performance.
Define Phase
In the Define phase, you will focus on identifying and scoping improvement projects. This module covers project selection, understanding customer needs, and the fundamentals of project management.
Project Selection: Learn to identify and select projects that align with business objectives and have the potential for significant impact.
Process Elements: Understand the key elements of processes that are critical to project success.
Benchmarking: Use benchmarking to compare processes and identify opportunities for improvement.
Process Inputs and Outputs: Define the critical inputs and outputs of processes.
Owners and Stakeholders: Identify key stakeholders and process owners to ensure project alignment and support.
Customer Identification: Learn techniques to identify the customers and stakeholders critical to your project.
Customer Data: Collect and analyse customer data to understand their needs and expectations.
Customer Requirements: Translate customer requirements into project objectives and metrics.
Project Charter: Develop a project charter that clearly defines the project’s purpose, scope, and objectives.
Project Scope: Set clear boundaries for your project to focus efforts and resources effectively.
Project Metrics: Establish metrics to measure project performance and success.
Project Planning Tools: Use tools like Gantt charts and work breakdown structures (WBS) to plan and manage your project.
Project Documentation: Learn best practices for maintaining comprehensive project documentation.
Project Risk Analysis: Identify and assess potential risks to ensure project success.
Project Closure: Understand the steps needed to close a project effectively, ensuring all objectives are met and stakeholders are satisfied.
Multiple Tools: Explore various management and planning tools used to streamline project execution and ensure alignment with organisational goals.
Process Performance: Measure and analyse process performance to ensure improvements are delivering the expected results.
Communication: Learn the importance of clear and consistent communication throughout the project lifecycle.
Team Stages and Dynamics: Understand the stages of team development and how to manage team dynamics for optimal performance.
Team Roles and Responsibilities: Define the roles and responsibilities of each team member to ensure clarity and accountability.
Team Tools: Explore tools and techniques to facilitate effective teamwork.
Team Communication: Learn strategies to enhance communication within the team and with stakeholders.
Measure Phase
The Measure phase focuses on collecting data and analysing current process performance. This module covers process analysis, statistical tools, and measurement system analysis.
Process Documents: Learn to create and maintain detailed process documentation to support data collection and analysis.
Basic Probability Concepts: Understand the fundamentals of probability and how they apply to process analysis.
Central Limit Theorem: Learn about the Central Limit Theorem and its importance in statistical analysis.
Various Distribution Types: Explore different types of statistical distributions and their relevance to process data.
Types of Data and Measurement Scales: Learn about different types of data and the appropriate measurement scales.
Sampling and Data Collection Methods: Understand the principles of sampling and various data collection methods.
Descriptive Statistics: Use descriptive statistics to summarise and describe your data.
Graphical Methods: Apply graphical methods to visualise data and identify patterns.
Gage R&R: Conduct Gage Repeatability and Reproducibility studies to assess the accuracy of your measurement systems.
Process Performance vs. Process Specifications: Learn to compare process performance against specifications to evaluate effectiveness.
Process Capability Studies: Conduct studies to assess how well a process meets its specifications.
Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk) Indices: Use Cp, Cpk, Pp, and Ppk indices to quantify process capability and performance.
Short-Term vs. Long-Term Capability and Sigma Shift: Understand the difference between short-term and long-term process capability and how to account for sigma shift.
Analyse Phase
The Analyse phase is about identifying root causes of process issues. Learn to use data analysis and statistical tools to uncover relationships between variables and validate hypotheses.
Multi-Vari Studies: Conduct multi-vari studies to analyse process variation.
Correlation and Linear Regression: Use correlation and linear regression to explore relationships between variables.
Basics: Learn the fundamentals of hypothesis testing, including the formulation and testing of hypotheses.
Tests for Means, Variances, and Proportions: Perform statistical tests to compare means, variances, and proportions in your data.
Improve Phase
In the Improve phase, you’ll focus on developing and implementing solutions to address root causes and enhance process performance.
Basic Terms: Learn the key terms and concepts in Design of Experiments.
DoE Graphs and Plots: Use graphs and plots to visualise experimental results.
Types of RCA: Explore various types of root cause analysis methods to identify and address process issues.
Waste Elimination: Apply Lean tools to identify and eliminate waste in processes.
Cycle-Time Reduction: Learn techniques to reduce cycle time and improve process efficiency.
Kaisen and Kaisen Blits: Implement Kaisen and Kaisen Blits for continuous, incremental improvements.
Control Phase
The Control phase focuses on maintaining the improvements achieved in the previous phases. Learn to use control charts and other tools to sustain process improvements.
SPC Basics: Understand the basics of Statistical Process Control and its role in maintaining process stability.
Rational Subgrouping: Learn the concept of rational subgrouping to enhance the effectiveness of control charts.
Control Charts: Use control charts to monitor process performance and detect variations.
Control Plan Detail: Develop a detailed control plan to ensure the sustainability of process improvements
Total Productive Maintenance (TPM): Implement TPM to maintain equipment and prevent disruptions in the process.
Visual Factory: Use visual controls to create a transparent and efficient working environment.
Intelligent Automation
This section introduces the integration of Intelligent Automation with Lean Six Sigma. Learn how to leverage AI, robotic process automation (RPA), and other advanced technologies to enhance process efficiency.
Basic Overview: Get a foundational understanding of Intelligent Automation and its role in process improvement.
Artificial Intelligence (AI): Explore how AI can be used to optimise processes and make data-driven decisions.
Robotic Process Automation (RPA): Learn how RPA can automate repetitive tasks and streamline workflows.
Total Productive Maintenance (TPM): Implement TPM to maintain equipment and prevent disruptions in the process.
Visual Factory: Use visual controls to create a transparent and efficient working environment.
Steps for Implementing Intelligent Automation Solutions: Learn the step-by-step approach to implementing automation solutions in your organisation.
Use Cases and Applications: Review practical use cases and applications of Intelligent Automation in various industries, demonstrating how automation can streamline processes and improve outcomes.
Governance, Compliance, and Ethics: Understand the importance of governance, compliance, and ethical considerations in automation projects.
Change Management: Learn strategies for managing change effectively during implementation
Kickstart Your Journey in Process Improvement with a Focus on Automation and AI-Driven Transformation
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