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Academy

Accelerated Black Belt Program

Elevate Your Business with Process Mining and Lean Six Sigma

Are you tired of inefficient processes hindering your organisation’s growth? Roboyo’s Accelerated Black Belt Program offers a powerful solution. By combining the proven methodology of Lean Six Sigma with the innovative power of Process Mining, we equip you with the tools to drive transformative change.

Why Choose Our Program?

  • Gain a High-Resolution View: Create a Digital Twin of your processes to identify bottlenecks and optimise performance.
  • Master Essential Skills: Learn the key statistical techniques and Lean Six Sigma principles to drive continuous improvement.
  • Accelerate Results: Benefit from our rapid approach, combining classroom training with online learning for maximum efficiency.
  • Solve Complex Problems: Apply Process Mining to uncover hidden inefficiencies and develop data-driven solutions.

A Hybrid Approach to Learning

This 5-day program combines the best of both worlds: traditional classroom instruction with flexible online learning. The key statistical elements have been carved out of the classroom portion and are taught online using Minitab‘s learning academy. This allows participants to consolidate their understanding of the statistical techniques that underpin Lean Six Sigma at their own pace.

With typically 30-40 hours of dedicated study, participants can complete the online training portion and then delve deeper into the power of Process Mining. They’ll learn how to leverage the power of Digital Twins to solve complex business problems and drive transformative change in your organization. If you need extra support for your first Black Belt project, we offer optional coaching services.

You will be in good hands as the course is taught by our Director of Process Mining and Excellence for the APAC region, John Adamek. He has a unique blend of strategic vision and operational excellence. He is a certified Master Black Belt with a Degree in Aerospace Engineering and Post Graduate qualifications in Applied Statistics and has now trained more than 6000 people worldwide. His passion lies in architecting strategic shifts and operational excellence on a global scale and he has pioneered the creation of Digital Twins from data, ushering in profound insights for reshaping businesses.

Course details:

  • Dates: November 25 – 29, 2024
  • Time: 9am to 5pm
  • Location: Melbourne TBC
  • Cost: $9950AUD + GST

Includes:

  • Detailed course manual
  • All DMAIC templates
  • Access to Minitab online training
  • Access to Apromore Process Mining tool
  • Lunches and coffee breaks throughout the training
  • Initial consultation to ensure alignment with Black Belt certification requirements

Ready to Transform Your Organisation?

Enroll in our Accelerated Black Belt Program today and unlock the full potential of your processes.

Book Your Place

Meet your trainers
John Adamek
Director Process Mining and Excellence (APAC) and a certified Master Black Belt

John Adamek

Payment Options

Payments can be made at the time of booking using a credit or debit card securely via Stripe payment gateway or via invoice.

 

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Why Sign Up?

  • Master Digital Twins: Learn how to create and leverage Digital Twins using process mining.
  • Solve Real-World Problems: Apply the tools and techniques from the program to address your organisation’s specific challenges.
  • Expand Your Network: Connect with industry peers and share best practices.
  • Benefit from Expert Guidance: Learn from experienced trainers and receive ongoing support.

Certification Criteria

Roboyo’s Accelerated Black Belt program is aligned with the international standard for Lean Six Sigma (ISO 13053) and extends its scope by incorporating Process Mining to create Digital Twins.

To earn a Black Belt certificate, participants must:

  • Actively engage in all five days of classroom training (40 hours).
  • Achieve a minimum score of 70% on the final examination.
  • Successfully complete the online statistical training (30-40 hours).
  • Deliver a Black Belt (BB) project with an annualised benefit exceeding $1 million AUD, approved by the CFO or equivalent. The project typically requires more than 100 hours of effort.

Statistical Training:

  • Online and self-paced: The statistical training can be completed online at the participant’s convenience.
  • Duration: Approximately 30-40 hours.

Course topics:  

Foundations of Data Analysis 

  • Descriptive Statistics and Graphical Analysis 
  • Statistical Inference 
  • Hypothesis Tests and Confidence Intervals 
  • Analysis of Variance (ANOVA) 
  • Correlation and Regression

Statistical Quality Analysis 

  • Control Charts  
  • Process Capability  
  • Measurement Systems Analysis 

Design of Experiments  

  • Analysis of Variance (ANOVA) 
  • Design of Experiments

Predictive Analytics 

  • Correlation and Regression 
  • Multiple Regression 
  • Predictive Analytics 

Program

Day One: Define

Introduction to program – Accelerating business benefits using a Digital Twin

Learn to identify critical aspects and problem statements for your projects.

Topics include:

  • Process Mining 101
  • Digital Twin creation using a Case Study
  • Voice of Customer/Business
  • Critical to Quality
  • Operational Definitions
  • Stratification
  • Scoping
  • Problem Statements
  • Opportunity Statements
  • Project Charter
  • Kano Analysis
  • Accountability Matrix
  • Hoshin Kanri & X Matrix

Day Two: Measure

Process Mapping, SIPOC, Case Study

Understand process mapping, data collection, and the elimination of waste.

Topics include:

  • Sample size
  • Data collection plans
  • Understanding Value
  • 8 Types of Waste
  • Value Stream Mapping using Process Mining

Day Three: Measure (cont’d)

Dive deeper into data analysis, statistics, and measurement systems.

Topics include:

  • Value Stream Analysis using Process Mining
    • People
    • Process
    • Compliance
    • Technology
  • Cause & Effect diagrams
  • Measurement Systems Analysis
  • Attribute Agreement Analysis
  • Basic statistics
  • Types of Data
  • Central Limit Theorem
  • Descriptive statistics
  • Normality
  • Exploratory Data Analysis
  • Case Study – Measure

Day Four: Analyze & Improve

Explore hypothesis testing, regression, and solution generation.

Topics include:

  • Analyse
  • Hypothesis testing
  • Correlation
  • Regression
  • Case Study – Analyse

Improve

  • Design of Experiments
  • FMEA
  • Piloting
  • Solution generation
  • FMEA – Process and Design
  • Case Study – Improve

Day Five: Control

Topics include:

  • Control Plans
  • Reactions Plans
  • Visual Management
  • Statistical Process Control
  • Case Study – Control
  • Revision
  • Examination
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