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Quality Management Essentials Training Course

///Quality Management Essentials Training Course
Quality Management Essentials Training Course 2018-02-07T12:18:10+00:00

Overview

Quality Planning

Quality Assurance
Quality Control

Course Calendar

Course Overview

LEAN Process Improvement: Delivering More with Less Course in Dubai

This is a customized workshop that we have developed based on already existing best practices in Quality Management. It is mostly hands-on, practical and allows attendees to simulate the usage of common quality tools right in the classroom in groups or in individual efforts. It covers such topics as:
Training on control charts, pareto, six sigma, QA, QC

INTRODUCTION TO QUALITY MANAGEMENT

Quality Management Essentials Simplified Training Course in Dubai

  • What is Quality?
  • What is Quality Management? And how is it related to Risk Management?
  • Describe the five critical improvement concepts
  • Pioneers in Quality Management
  • Common Quality Management terminologies
  • The PDCA cycle, and its relation to projects and operations
  • Differentiating between Quality Planning, Quality Assurance & Quality Control

QUALITY PLANNING

  • How is quality planned for? And when? And by whom?
  • How much should we spend on quality activities?
  • Common tools in planning:
    • Benchmarking
    • Cost-benefit analysis
    • Cost of quality – marginal analysis
  • Process Improvement Planning
    • Concept of 6 Sigma and how it is used to correct problems
    • Analyzing Flowcharts
    • vControl Charts – Tolerance & Control limits
    • vDeveloping Cause & Effect Diagrams
    • Using Pareto diagrams
    • What is “design of Experiments”?
    • Scatter Diagrams, correlations

QUALITY ASSURANCE

  • Using common Quality Assurance tools
    • Affinity diagrams
    • Process decision program charts (PDPC)
    • Interrelationship digraphs
    • Tree diagrams
    • Prioritization matrices

QUALITY CONTROL

  • Using common Quality Control tools
    • Prevention and inspection
    • Sampling and probability
    • Attribute sampling and variables sampling
    • Special causes and random causes
    • Tolerances and control limits

Course Calendar

Date

Course

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