Workshops

Six Sigma Yellow Belt Workshop

June 9, 2025: 6:00 – 8:00 pm

Six Sigma Certification Topics

Six Sigma Fundamentals

Define

Project Charter
Process Maps
SIPOC
Matrix Diagrams
Critical to Quality (CTQ) Metrics
DPMO
Pareto Chart
QFD

Measure

Process analysis
Probability, Statistics and Distribution
Data collection and analysis
Gage Repeatability and Reproducibility (R&R)
Process capability
X-Bar Charts, Run Charts, Moving Average Charts, EWMA Charts, and Attribute Charts
Takt Time and Standardization
Spaghetti Diagrams
Setup Reductions

Analyze

Value Stream Map
Hypothesis Testing
Goodness of fit test
Regression Analysis
Cause & Effect Diagrams
Scatter Diagrams
ANOVA
Confidence Interval

Improve

Lean Tools to reduce NVA: 5S, Kaizen, Seven Zeros and TPS Principles
FMEA
Simulation
Design of Experiments (DOE)
Statistical Process Control (SPC)
Analysis of Variance (ANOVA)
Solutions Validation

Control

Control Plan
SPC
Tracking
DFSS

Dr. Ahad Ali
Associate Professor
Director, Doctor of Engineering in Advanced Manufacturing
Director of Industrial Engineering Program
A. Leon Linton Department of Mechanical, Robotics, and Industrial Engineering
Lawrence Technological University, Southfield, Michigan, USA
Executive Director, IEOM Society International

Dr. Ahad Ali is an associate professor, director of doctor of engineering in advanced manufacturing and director of industrial engineering programs (BSIE & MSIE) at A. Leon Linton Department of Mechanical, Robotics, and Industrial Engineering of the Lawrence Technological University (LTU), Southfield, Michigan, USA. He established the Siemens Electro-Matic Industrial Engineering Lab at LTU. Dr. Ali was the primary author of the ABET self-study report of the BSIE Program at LTU in 2022. He earned a BS in Mechanical Engineering from Khulna University of Engineering and Technology (KUET), Bangladesh, a Master’s in Systems and Engineering Management from Nanyang Technological University, Singapore, and a Ph.D. in Industrial Engineering from the University of Wisconsin-Milwaukee, USA. Dr. Ali was an Assistant Professor in Industrial Engineering at the University of Puerto Rico – Mayaguez, a Visiting Assistant Professor in Mechanical, Industrial, and Manufacturing Engineering at the University of Toledo, and a Lecturer in Mechanical Engineering at the Bangladesh Institute of Technology, Khulna. He received an Outstanding Professor Award from the Industrial Engineering Department, University of Puerto Rico -Mayaguez. Dr. Ali has been recognized with a Fulbright Award. He has published 75 journal papers and 150 conference papers. Dr Ali conducted research projects with Chrysler, Ford, DTE Energy, New Center Stamping, Whelan Co., Delphi Automotive System, GE Medical Systems, International Truck and Engine Corporation (ITEC), and Rockwell Automation. His research interests include manufacturing systems, quality, lean, six-sigma, simulation, artificial intelligence, supply chain, and optimization. He supervised 11 doctoral students in Doctor of Engineering in Manufacturing Systems (DEMS). He is a founding team member and Chief Executive Officer (CEO) of IEOM Society International. Dr. Ali is a Co-Chair of the International Conference on Industrial Engineering and Operations Management. Dr. Ali organized IEOM conferences around the globe on six continents including Dhaka, Kuala Lumpur, Istanbul, Bali, Dubai, Orlando, Detroit, Rabat, Bristol, Bogota, Paris, Washington, DC, Lima, Johannesburg, Bangkok, Pilsen, Toronto, Costa Rica, Monterrey, Sao Paulo, Riyadh, Manila, Melbourne, New Delhi, Sydney, Augsburg, Tokyo, and Muscat. He is an associate editor of the IJIEOM. Dr. Ali is a member of IEOM, INFORMS, SME, and IEEE.

June 10, 2026 (Wednesday) – Session: 16:30 – 18:00

AI Workshop

The Four Quadrants of AI Value: A Classification Framework for Industrial AI Initiative Selection and Prioritization in SME Operations

Tariq Alam
Founder & Strategic AI Lead
DEN Agentic AI
Toronto, Canada

Tariq Alam is the Founder and Strategic AI Lead of DEN Agentic AI LLC, USA, an AI enablement firm dedicated to helping mid-market and enterprise organizations move from AI experimentation to measurable, governed AI performance. With over 20 years of experience spanning data engineering, digital transformation, and organizational capability building, he guides organizations through the full AI adoption journey — from strategic readiness assessment to agentic product deployment — using proprietary methodologies including the AI Capability Maturity Model, the Four Quadrants of AI Value, and the Strategic AI Initiative Canvas.

As the architect of a four-course corporate AI curriculum delivered via a proprietary AI-Native Learning Management System, Tariq has developed structured training programs covering AI literacy, professional upskilling, leadership strategy, and applied agentic AI engineering. His courses are built on practical frameworks designed to make complex AI decisions immediately teachable and applicable across all levels of an organization.

Tariq is also the designer and lead architect of the Agentic Knowledge Engine (AKE), a governed enterprise intelligence layer that connects large language models to proprietary business data through Retrieval-Augmented Generation (RAG), grounded retrieval, and semantic modeling. His professional background includes roles as a Data and Analytics Consultant at AMD and Market Intelligence Manager at ADT Security, where he led data strategy, dashboard development, and stakeholder analytics across large-scale enterprise environments.

He holds a Master of Science in Information Management from the University of Washington, Seattle, USA, and a Bachelor of Science in Electrical Engineering from Bangladesh. Tariq is a practitioner in workforce AI capability building, responsible AI governance, and agentic systems architecture, with a focus on delivering sustained business value for SMEs and mid-market organizations.

June 11, 2025: 6:00 – 8:00 pm

Simulation with DOE Workshop