KPMG - Competency Development Program in Lean Six Sigma Green Belt

4 Days Training and Certification on Lean Six Sigma Green Belt by KPMG India

Course Snapshot
  • FeeINR 20,000 + Tax
  • Work Experience5 - 10 Years
  • Duration4 Days
  • Delivery MethodClassroom
Course Detail

Overview

A 4 day, 32 hours classroom programme aims at enabling individuals to participate and drive improvement projects across domains and industries. Delivered by our senior professionals who share their industry experience and use adaptive learning methodology.

The training aims at helping individuals learn how to improve business productivity by eliminating waste and reducing process variations using the DMAIC- Define, Measure, Analyse Improve and Control approach. Sessions are held explaining usage of statistical tools for solving business problems and contributing to organisational goals.

The programme can enable individuals to drive performance improvement projects, manage teams, develop leadership acumen and make fact based decision making. These are generally projects which feed to larger themes picked by CXOs and helps ensure achievement of organisational goals. The training helps individuals who are looking to improve critical pain points in their work areas with collaboration of team members from few same/other departments/functions.

Program Objective

The program aims at improving competency of individuals to be able to lead and grive organization wide transformationprograms through in- depth understanding of business issues, use statistics to make decisions, and improve performance.

Potential benefits of the Program

- Provide orientation to:
> Link business needs to operational excellence initiatives
> problen solving
> Process and performance transformation
> Fact based decision making
> Use of data to draw business conclusions
- Competency development and career enhancement
- Differentiate and gain leadership acumen
- Share experience and learn and from industry leaders in a heterogeneous environment.

Who should attend

The programme is designed for meeting the requirements of

- Transformation and change leaders
- Decision makers
- Professionals involved in process control, quality and improvement
- Aspirants to understand use of business information and effective use of data
- Aspirants for data analytics, research, process engineering or re-engineering initiatives
Aspirants for lean improvement, waste reduction, production and service efficiency.

Course Schedule

City : Ahmedabad
18-21 June, 2019
19-22 Aug, 2019

City : Bengaluru
6-9 June, 2019
11-14 July, 2019
29 Aug -1 Sept, 2019

City : Chennai
27-30 June, 2019
25-28 July, 2019

City : Chandigarh
27-30 May, 2019

City : Goa
8-11 May, 2019

City : Gurugram
29 April-02 May, 2019
10-13 June, 2019
17-20 July, 2019

City : Hyderabad
27-30 June, 2019
1-4 Aug, 2019

City : Kochi
20-23 June, 2019
8-11 Aug, 2019

City : Kolkata
13-16 May, 2019
1-4 July, 2019
24-27 Sept, 2019

City : Mumbai
27-30 May, 2019
8-11 July, 2019
19-22 Aug, 2019

City : Noida
1-4 July, 2019
5-8 Aug, 2019

City : Pune
10-13 June, 2019
17-20 July, 2019
26-29 Aug, 2019

Course Modules

Module 1: Overview on Six Sigma, VOC, Kano Model, Project Charter, SIPOC
Module 2: Understanding data, types of data, sampling strategy
Module 3: Normal distribution, box plot, test of normality
Module 4: Measurement system analysis
Module 5: Rolled throughput yield
Module 6: Process capability - Cp and Cpk, DPMO
Module 7: Cause validation - Cause and effect diagram
Module 8: Pareto analysis, C&I matrix
Module 9: Process door analysis - Lean application, types of wastes, principles of lean, value stream mapping
Module 10: Data door analysis - Testing the potential causes - test of hypothesis. Test of means and test of proportion
Module 11: Correlation, scatter plot, simple regression and multiple regression analysis
Module 12: Ideation and solutions - TRIZ, C&B matrix, mistake proofing, FMEA, hypothesis testing to validate the results
Module 13: Process management charts, SPC - control charts for continuous and discrete data
Module 14: Control-response plan