Lean Six Sigma for Metal, Mining & Utilities
Redefine efficiency and sustainability in metal, mining, and utilities
ASQ’s Lean Six Sigma program blends AI-powered tools with proven methodologies to drive performance and reduce downtime. Gain hands-on experience applying advanced analytics to real-world operations across mining, smelting, energy, and utilities. From day one, you’ll lead measurable change, optimizing resources and enhancing productivity to secure long-term success in a competitive market.
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- Format : In-Person / On-site
- Duration : 48 Hours
Key Features of this course
- A.I Based Decision Making
- Interactive Sessions with Activities
- Expert trainers with Industry Experience
- Simulation Exams, Projects, Case Studies
- Real-World Simulations, Case Studies
- Aligned to ASQ's Global Standards
Metal, Mining & Utilities -Industry Growth Potential
Master AI-Driven Strategies for Lasting Impact
AI based Decision-Making
Tools for Immediate Impact
Customizable Metrics
True quality improvements
Implementation Strategies
Tested in real-world environments
Technology Integration
Pathways Enhancing patient care
Join a Global Community of Certified Leaders
Certifications
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This program goes beyond traditional Lean Six Sigma training by integrating advanced leadership principles with proven business improvement methodologies. The result? Leaders who can navigate complexity, drive change, and deliver measurable business outcomes.
Program Curriculam
Introduction
Lesson 01 – Introduction to Six Sigma
- In this lesson, you will explore the fundamentals of Six Sigma, its principles, and its role in achieving organizational goals.
Lesson 02: Six Sigma and Organizational Goals
- This lesson provides insights into the core concepts of Six Sigma, the DMAIC process, and the structure of Six Sigma teams, while linking them to organizational drivers and metrics.
Lesson 03: Lean Principles in the Organization
- Here, you will learn how Lean principles complement Six Sigma to enhance efficiency, reduce waste, and drive continuous improvement using key Lean tools and techniques.
Define Stage
Lesson 01 – Introduction to Define Phase
- In this lesson, you will be introduced to the Define Phase, setting the foundation for project identification and management.
Lesson 02: Project Identification
- Learn the critical steps in project selection, including benchmarking, best practices, and the SIPOC process, while understanding the roles of owners and stakeholders.
Lesson 03: Voice of the Customer
- This lesson focuses on identifying customers, collecting and analyzing VOC data, understanding Critical-to-Quality (CTQ) elements, and applying Quality Function Deployment to align customer needs with project goals.
Lesson 04: Project Management Basics
- Gain essential project management skills, including creating project charters, defining problem statements and objectives, interpreting project scope, and managing metrics, schedules, and risks effectively.
Lesson 05: Management & Planning Tools
- Explore advanced tools like affinity diagrams, interrelationship diagrams, tree diagrams, matrix diagrams, prioritization matrices, and process decision program charts to enhance planning and decision-making.
Lesson 06: Business Results for Projects
- Understand how to measure process performance using metrics such as Defects per Unit (DPU), Throughput Yield (TPY), Rolled Throughput Yield (RTY), Defects per Million Opportunities (DPMO), and Sigma Level.
Lesson 07: Team Dynamics and Performance
- Develop skills in team dynamics, including understanding team stages, roles, responsibilities, effective communication, and tools to enhance team performance.
Measure Stage
Lesson 01: Introduction to Measure Phase
- Begin the Measure Phase by understanding its purpose and significance in the Six Sigma methodology.
Lesson 02: Process Analysis and Documentation
- Learn how to analyze and document processes effectively using tools such as process maps, flowcharts, and comprehensive process documentation techniques.
Lesson 03: Probability and Statistics
- Explore the roles of probability and statistics in Six Sigma, including key concepts like addition and multiplication rules, permutations, and combinations.
Lesson 04: Collecting and Summarizing Data
- Master data collection and summarization techniques, including understanding data types, measurement scales, central tendency, dispersion, and visual tools like stem-and-leaf plots and box-and-whisker plots.
Lesson 05: Measurement System Analysis
- Gain insights into measurement system properties, characteristics, and concepts, and learn to conduct Gage R&R studies for both continuous and attribute data.
Lesson 06: Process and Performance Capability
- Understand process stability and normality, conduct capability analysis, and study performance indices to evaluate process mean shifts, variation, and attribute data capability.
Analyze Stage
Lesson 01: Introduction to Analyze Phase
- Understand the purpose and key objectives of the Analyze Phase in identifying and addressing process inefficiencies.
Lesson 02: Root Cause Analysis
- Learn to identify root causes of issues using the 7 Quality Tools and Root Cause Analysis (RCA) techniques.
Lesson 03: Failure Mode and Effect Analysis (FMEA)
- Explore FMEA methodologies, including types of FMEA, guidelines for implementation, and their role in preventing potential failures.
Lesson 04: Statistical Distributions
- Gain a deep understanding of statistical distributions, including binomial, Poisson, and normal distributions, along with foundational concepts like the Central Limit Theorem (CLT).
Lesson 05: Hypothesis Testing
- Master hypothesis testing fundamentals, including Type 1 and Type 2 errors, p-values, sample sizes, and statistical tests like T-tests, ANOVA, Chi-Square, and tests for non-normal data.
Lesson 06: Exploratory Data Analysis
- Learn to analyze data relationships through correlation, regression analysis, residual analysis, and linear regression techniques.
Improve Stage
Lesson 01: Introduction to Improve Phase
- Discover the goals and significance of the Improve Phase in implementing effective solutions to enhance processes.
Lesson 02: Design of Experiments
- Learn the fundamentals of DOE, including regression concepts, key terms, and understanding experimental error to optimize process improvements.
Lesson 03: Lean Tools
- Explore Lean tools and techniques to streamline processes, reduce waste, and enhance efficiency with methods like Value Stream Mapping (VSM), 5S, Total Productive Maintenance, and Kaizen.
Lesson 04: Selecting a Solution
- Master solution selection techniques, including Pugh Analysis, prioritization matrices, brainstorming, cost-benefit analysis, and piloting strategies to implement the most effective improvements.
Control Stage
Lesson 01: Introduction to Control Phase
- Understand the objectives of the Control Phase in maintaining and sustaining process improvements.
Lesson 02: Statistical Process Control (SPC)
- Learn SPC fundamentals, including control charts, their analysis, and selecting the right chart for data types, such as Xbar, I-MR, np, p, c, and u charts.
Lesson 03: Control Plan
- Develop skills to create effective control and response plans, conduct cost-benefit analyses, and understand KPIVs, KPOVs, and transactional control strategies.
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Tools Covered
Projects Covered
Improving Ore Processing Yields
Analyze production bottlenecks, standardize extraction processes, and reduce material losses to maximize yield in ore processing and refining operations.
Optimizing Material Transport
Streamline transportation routes, improve loading and unloading processes, and enhance fleet utilization to reduce costs and improve material movement efficiency.
Reducing Equipment Downtime
Implement predictive maintenance and optimize repair processes to minimize unplanned equipment downtime, increasing productivity and ensuring operational continuity.
- Soaring Demand and Accelerated Growth
Transforming Mining Professionals into Strategic Business Leaders
Today’s mining leader must transcend traditional engineering roles to become a strategic mastermind and skilled diplomat. Success demands expertise in managing intricate value chains, diverse stakeholder relationships—from government agencies to Indigenous communities—and maintaining social license under intense global media scrutiny.
In an environment of declining grades and escalating energy costs, operational excellence through innovation and digital transformation has become essential for survival.
Our specialized Lean Six Sigma programs for the Metals, Mining, and Metallurgy sectors directly address these challenges, offering targeted solutions for variable ore quality, complex processing circuits, and remote operations management.
The ASQ ADVANTAGE
Expertise
Industry-Specific Methodology: Tailored to the complexities of mining, smelting, power generation.
Innovation
AI-Enhanced Practical Applications: Integrating AI-driven tools and predictive analytics.
Comprehensiveness
Comprehensive Value Chain Focus: Targets every touchpoint to enhance safety, efficiency, and sustainability.