Advanced Lean Six Sigma Endorsed Professional Course Code: GS-031

As the business environment becomes increasingly intricate, organizations and government entities grapple with challenges like technological disruption and global warming. These external threats necessitate rapid responses to evolving market needs and consumer behaviors, demanding harmonized, integrated systems within organizations. Minor variations in these activities can cause bottlenecks and delays in decision-making, slowing down market response. Consequently, pursuing efficiency enhancement can seem daunting without a structured method to navigate complexities inherent in an organization's internal system processes, such as structure, architecture, work scope, and leadership.

The accredited public, in-house or online Lean Six Sigma certification program carefully developed and designed by our institute to address today's challenges, providing delegates with a comprehensive understanding of all levels of Lean Six Sigma, its tools, and their impact on organizations. Upon completion, this certification program offers delegates the opportunity to gain expert practitioner skills. The program, which combines a series of courses and content, is focused on reducing process variations, eliminating waste, and effectively transforming organizational processes. Alongside traditional methodologies, it delves into various levels of Six Sigma, including white, yellow, green, and black. The course also explores the impacts and applications of Artificial Intelligence and Big Data, offering a modern approach to challenges such as global warming and technological disruption. Targeted at both the manufacturing and service industries, our course equips participants with top-rated, cutting-edge skills and a detailed understanding of Six Sigma. The knowledge, holistic definition, and skills gained will empower every delegate to become an expert practitioner in their respective fields.

After successfully completing the lean six sigma certification, participants will be able to:

• Understand and apply modern Six Sigma methodologies
• Appreciate the importance of Lean methodology in manufacturing processes
• Leverage advanced tools that cover the entire details of Six Sigma process
• Recognize the impact of Big Data and Artificial Intelligence on the internal process of the value chain
• Understand the new Green Six Sigma and methodologies reflecting sustainability and technological disruption
• Apply methodologies to reduce variations in processes and eliminate waste, thereby optimizing the cost

Understanding human emotions and feelings is crucial for successful management, and it requires not only high IQ but a high level of emotional intelligence (EQ). A true leader has to understand the impact of emotions on the performance as well as be able to handle the feelings of both himself and others. As the pace of the world increases, and our environment makes more and more demands on our cognitive, emotional, and physical resources, Emotional Intelligence is an increasingly critical skill set for a true Leader.

Our unique course involves emotional intelligence training materials and provides participants with the competencies required to improve their Emotional Intelligence (EI) on their way to becoming unexcelled Leaders. Participants explore the importance of EI at both professional and social levels; they master the art of understanding others' feelings and the ways to increase the effectiveness of their relationships at work and in life. You’ll study how to maintain positive collaborative relationships and overcome resistance and negativity. The course also covers various tools and techniques to help you perform your role as a Leader and manage emotions with confidence.

Improving your EQ skills is essential for your success in the realm of leadership, and this course teaches you how to do so, including the following:

• Understand emotions and effectively apply this knowledge to strengthen leadership
• Realize your potential as a leader via effective use of EQ techniques and tactics
• Know how to improve emotional intelligence (EQ) within a short period
• Develop and master the outstanding emotional skills required to be a leader
• Grasp and utilize the psychological aspects of EI to become an indisputable leader
• Discover how to apply EQ to build teamwork and accountable leadership

The lean six sigma course is designed for:

• Operations Managers
• Quality Managers
• Sustainability Managers
• Supervisors
• Business Process Professionals
• Strategy Professionals
• Project Managers
• Any other persons interested in the subject

• Extensive Workbook with Course Materials
• Handouts and other Supporting Materials
• Practical Examples and Various Case Studies
• Quick Reference/Top Tips Guide
• Professional & Experienced Instructor
• Accelerated and Intensive Learning Techniques
• Relationship Building within Course
• Post Course Action Plan
• Index of Additional Suggested Materials
• Course Completion Certificate

• Introduction
  • Organization and value creation
  • Organization’s current and future challenges
  • The new 21st century ecosystem
  • Decoding “Lean” and “Six sigma”
  • Lean six sigma philosophy.
  • The Value of Sigma
  • Decoding “Quality”
  • Six sigma and quality
  • The purpose of six sigma
  • Benefits to the organization
  • The process of Six Sigma (DMAIC)
  • Six Sigma tools
  • Balancing between customer’s and management feedback
  • The problem and the solution
  • Quality performance for a business process or service
  • Organizational Goals and six sigma projects
  • Decoding “business process” and the impact of six sigma
  • Six sigma team (the belts)
  • Organizational drivers and matrices
• Lean Principle in The Organization
  • The concept of lean value chain
  • Theory of constraint lean thinking
  • Time waste and the need for speed and zero waste
  • The value stream mapping
  • Lean and six sigma: two different principles
  • The principle of lean
  • 3 Ms of lean
  • The downtime lean waste
  • Lean tools and techniques
• Design For Six Sigma (DFSS) Methodologies
  • DMAIC or DFSS? The difference
  • The roadmap for six sigma (DFSS)
  • Concept of Design for Six Sigma (DFSS)
  • Impact of DFSS on an Organization
  • Types of DFSS Methodologies
  • DMADV and IDOV
  • Goals and Six Sigma Projects
  • Quality Function Deployment (QFD)
  • QFD House of Quality (HOQ) Structure
  • Failure Modes and Effects Analysis (FMEA)
  • FMEA Risk Priority Number (RPN)
  • Types of FMEA
  • Applying FMEA in a Situation
• Define Phase - Project Identification I
  • Project Selection
  • Benchmarking
  • Process Elements
  • Six Sigma Projects: Prerequisites
  • SIPOC Model: Process Elements Interaction
  • Business Process Improvement: Challenges
  • Owners and Stakeholders
  • Effects of Process Failure on Stakeholders
  • Importance and Relevance of Stakeholder Analysis
  • Voice of the customer (VOC)
  • VOC customer identification, customer’s data, and customer’s requirements
  • Internal and external customers
• Define Phase - Project identification II
  • Project management basics
  • The Project Charter
  • Sections in a Six Sigma Project Charter
  • A Lean Project Charter
  • Project Charter: The Problem Statement
  • Project Objectives, scope, and interpretation
  • Interpretation of Project Scope: Pareto Chart
  • Interpretation of Project Scope: Process Maps and SIPOC
  • Project Charter: Project Metrics and its types
  • Project Planning
  • Documentation
  • Work breakdown structure
  • Activity Network Diagram
  • Project Plan Schedule: Critical Path Method
  • Project Plan Schedule: Pert, Gantt chart, risks, and types
  • Risk analysis and management process
  • Project Closure
• Define Phase III: Management/Planning Tools and Matrices
  • Technical tools
  • Management tools
  • Main 7 tools
  • Metrics to Assess the Performance of a Business
• Define Phase IV. Project Team Dynamics
  • The 6 stages of project team building
  • Team roles and responsibilities
  • Six Sigma Team: Roles and Responsibilities
  • Team communication
  • Case study: Define Phase
• The Measure Phase I: Process Analysis and Documentation
  • Process Maps
  • Flowcharts
  • Written Procedures
  • Work Instructions
• The Measure Phase II: Probability and Statistics
  • Roles of Probability and Statistics
  • Probability Basics and Statistical Rules
  • Probability: Characteristic Properties
  • Probability of an Event
  • Probability: Basic Operations
  • Probability Concepts
  • Addition Rule for Mutually Inclusive Events
  • Subtraction Rule or Not Rule
  • Probability Concepts
  • Multiplication Rules for Independent Events
  • Second Rule for Dependent Variables
  • Permutation and Combination
• The Measure Phase III: Collecting and Summarizing Data
  • Meaning and type of data
  • Attribute Data (Discrete)
  • Variable Data (Continuous)
  • Selecting Data Type
  • Measurement Scales
  • Data Collection Methods
  • Meaning and types Of Sampling
  • Data Collection Plan
  • Data Collection Methods
  • Data Coding
  • Population vs. Sample
  • Summarizing Data: Descriptive Statistics: Central Tendency and Dispersion
  • Measures of Central Tendency
  • Impact of Outliers on Mean
  • Standard Deviation
  • Frequency Distribution
  • Box and Whisker Plots
  • Others visualization techniques
• The Measure Phase IV: Statistical Distributions and Measurement System Analysis
  • Scenarios
  • Classes of Distribution
  • Types Of Statistical Distribution
  • Discrete Probability Distribution
  • Binomial Distribution
  • Poisson Distribution
  • Continuous Probability Distribution
  • Normal Distribution
  • Other methods
  • Measurement System Analysis: GR&R
  • Measurement System Properties
  • Measurement System Characteristics and concepts
• The Measure Phase V: Process and Performance Capability
  • Activities in the Measure Phase
  • Process Stability Studies
  • Control Charts
  • Verifying Process Stability and Normality
  • Interpretation of Data
  • Natural Process Limits vs. Specification Limits
  • Process Capability Index
  • Other methods
  • Case study: Measure Phase
• Analyze Phase
  • Hypothesis Testing
  • Exploratory Data Analysis
  • Analyze phase Case study
• Improve Phase
  • Design of Experiments
  • Design for experiment methods
  • Root Cause Analysis
  • Root cause analysis methods
  • Lean tools for improve phase
  • Selecting a Solution
  • Tools for Identifying the Best Solution
  • Case study: Improve Phase
• Control Phase
  • Statistical Process Control
  • Statistical Process tools
  • Control Plan
  • Elements of Control Plan
  • What to Control: KPIV and KPOV
  • Lean Tools for Process Control
  • Case study: Control Phase
• Green Six Sigma
  • The three waves of six sigma
  • Extension on DMAIC
  • Sustainability
  • Green six sigma fit model
  • Appropriate green six sigma tools
  • Case study: Green six sigma
• The Digital Revolution: A New Chapter
  • Technology, functionality, people
  • End–to–end system
  • E-business
  • E-commerce
  • Big data and Artificial intelligence
  • Digital tools for green six sigma
  • Case study: Digital green six sigma
• The Soft Enabler
  • Lost creativity: the implicit constraint factor
  • The four leadership characteristics in the context of lean six sigma
  • Different styles of leadership
  • The relationship between Leadership and Lean Six Sigma
  • Leadership style and the success of deployment
  • The incumbent culture for lean six sigma projects deployment
  • Leadership behavior / lean six sigma behavior
  • Managerial s attitude towards risk and uncertainty
  • Decision Theory and Managerial Perspective
  • Green belt deployment competences success
  • Black belt deployment competencies success