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Lean six sigma green belt

Business process management

5 March 2019 - 7 March 2019, 8:30AM - 4:00PM, GST Dubai, United Arab Emirates


Course overview

This two day course helps you use predictive and prescriptive data analytics for effective decision making for managing risks and identifying cost saving opportunties. During the practical parts of the course, you will work on case studies from various industries and practically apply the skills learned. 

Who should attend

This training is highly recommended for professionals involved in:

— Process control and quality

— Project management

— Improvement initiatives.

It is also suitable to aspiring business leaders and those who have an interest in data analytics, research and process re-engineering

The training is suitable for professionals from various sectors, including logistics, manufacturing, healthcare, hospitality, banking and finance, defense, education, auto-mobile and telecom.


Participants would be awarded KPMG certificate of completion on meeting the below mentioned criteria:

— 100% attendance for the session

— Scoring 65% and above in the final assessment

Course fees*

Early bird offer (before 7 February 2019) - US$1,895

Participant fee - US$2,095

*Please note that the fee quoted is exclusive of VAT and the fee for the course shall be increased by the quantum of VAT, as applicable under the law.


To register online, please click here.




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Day one Day two Day three

Overview on Six Sigma

— Six Sigma history

— Quality leaders

— DMAIC versus DMADV

Define phase

— Voice of customer (VOC)

— Understanding your customer

— Affinity diagram

— Kano model

— Determine CTQ

— Develop the project charter

— Six Sigma team

— Elements of project charter

— Map the processes


— Exercise on the elements of project charter; SIPOC



Measure phase

— Types of data

— Data distribution

— Characteristics of variable data

— Histogram

— Measures of central tendency

— Measures of dispersion

— Standard deviation

— Normal distribution and properties

— Box plot

— Introduction to Minitab - Exercise

— Develop data collection plan

— Validate measurement system

— Overview on measurement system analysis

— Determine process capability

— Overview on process capability

Analyze phase

— Identify possible causes

— Segmentation and stratification

— Cause and effect diagram

— Pareto diagram

— Control impact matrix

— Process analysis with Lean

— Overview of Lean

— Principles of Lean thinking

— Types of wastes

— Value stream mapping with simulation case

Analyze phase

— Hypothesis testing

— Overview on hypothesis testing

— Tests of means (Tests of means, ANOVA)

Correlation and regression analysis

— Scatter plot

— Correlation analysis

— Regression analysis

Improve phase

— Generate solutions

— Brainstorming techniques

— Prioritizing solutions

— Select solutions

— Refine solutions

— Poka Yoke/ Mistake proofing

— Failure Mode and Effect Analysis (FMEA) — Test solutions

— Justify solutions

Control phase

— Introduction to SPC

— Types of control charts

— Response plan and documentation

— Case study covering all aspects of the training