HTME

COURSE OVERVIEW

TM0719 : ASQ Certified Manager Of Quality/Organizational Excellence Certification
ASQ Certified Manager Of Quality/Organizational Excellence Certification
OVERVIEW
COURSE TITLE : TM0719 : ASQ Certified Manager Of Quality/Organizational Excellence Certification
COURSE DATE : Jun 23 - Jun 27 2025
DURATION : 5 Days
INSTRUCTOR : Mr. Ahmed Mady
VENUE : Abu Dhabi, UAE
COURSE FEE : $ 5500
Register For Course Outline

Course Description

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 
 
The Certified Manager of Quality/ Organizational Excellence (CMQ/OE) is a professional who leads and champions process - improvement initiatives - everywhere from small businesses to multinational corporations - that can have regional or global focus in a variety of service and industrial settings. A CMQ/ OE facilitates and leads team efforts to establish and monitor customer/supplier relations, supports strategic planning and deployment initiatives, and helps develop measurement systems to determine organizational improvement. The CMQ/OE should be able to motivate and evaluate staff, manage projects and human resources, analyze financial situations, determine and evaluate risk, and employ knowledge management tools and techniques in resolving organizational challenges. 
 
This course is designed to provide participants with a detailed and up-to-date overview of Quality/Organizational Excellence (CMQ/OE). It covers the organizational structures and leadership challenges; the roles and responsibilities of leaders and managers; the change management, leadership techniques and empowerment; the types of team and stages of team development; and the team-building techniques, team roles and responsibilities. 
 
During this interactive course, participants will learn the ASQ code of ethics, strategic plan development, deployment and planning models; the business environment analysis and strategic plan deployment; the management elements and methods; the quality system, mission and policy, quality planning, deployment, documentation and effectiveness; the quality models and theories; the quality management and problem-solving tools; the process management, process goals and theory of constraint (TOC); the sampling, statistical analysis, measurement systems analysis and trend and pattern analysis; the process variation, process capability and reliability terminology; the customer-focused organizations, customer identification and segmentation; the customer relationship, supply chain, risk, communication and performance management; the supplier improvement, training, development, plans and training needs analysis; and the training materials, development delivery and effectiveness. 

link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

Lectures
Practical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos

In an unlikely event, the course instructor may modify the above training methodology for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable:

Certificates : Only soft copy certificates will be issued
Training Materials : Only soft copy materials will be issued
Training Methodology : 80% theory, 20% practical
Training Program : 4 hours per day, from 09:30 to 13:30

RELATED COURSES

Certified Reliability Engineer (CRE): American Society for Quality (ASQ) - Exam Preparation Training

TM0790 : Certified Reliability Engineer (CRE): American Society for Quality (ASQ) - Exam Preparation Training

Root Cause Analysis - Certified

TM0043 : Root Cause Analysis - Certified

Facilities Management

TM0257 : Facilities Management

AI in Energy Sector - Optimizing Operations using AI & Predictive Analytics

TM0266 : AI in Energy Sector - Optimizing Operations using AI & Predictive Analytics