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It is the reputational quality, integrity and knowledge of our expert practitioners that differentiates our approach to educational training, coaching and consultancy.

With substantial backgrounds in manufacturing and engineering, this hands-on experience is underpinned by the latest manufacturing thinking and techniques, and compliments our ability to see and understand the needs of each individual, and every manufacturer we support.

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Six Sigma Black Belt by TMI™ – JUL

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Six Sigma Black Belt by the Manufacturing Institute
  /  Six Sigma  /  Six Sigma Black Belt by TMI™ – JUL

Six Sigma Black Belt by TMI™ – JUL

£2295
Discipline:

About this course

Our Six Sigma Black Belt programme is essential for those who want a lead role in Six Sigma application and deployment within their organisations. The course is rigorous and covers a wide range of essential and advanced Six Sigma tools and techniques, enabling delegates to lead critical and challenging improvement projects and coach individuals and teams to achieve rapid, effective and sustainable results.

Who is this course for?

This course is aimed at high-potential and high-ability individuals who are passionate about improvement and seek to enhance their capability for problem-solving and influencing positive change by utilising Six Sigma methodologies in their organisations.

Learning Outcomes

On successful completion of all the sessions, you will have built on existing Green Belt capability. Our Black Belt course covers advanced technical subjects such as the Analysis of Variance and Design of Experiments within the DMAIC methodology, plus how to lead teams, facilitate workshops, coach others and manage change to maximise the cultural mindset and the effectiveness of collective improvement efforts.

Six Sigma Black Belt Fellowship Certification

Directly following the programme, delegates have the option to complete a Fellowship, a recognition scheme based around the successful implementation of a work-based improvement project, which enables the continued, practical momentum of the skills developed during the training days. The Fellowship is an award of the Manufacturing Institute and is subject to terms and conditions.

Timetable Dates for this Course

JUL

JUL

JUL

JUL

JUL

JUL

Date

Tues 2nd

Wed 3rd

Thu 4th

Tues 9th

Wed 10th

Thu 11th

Time

8am to 4pm

8am to 4pm

8am to 4pm

8am to 4pm

8am to 4pm

8am to 4pm

Dates may be subject to change. Terms and conditions of booking apply.

In Six Sigma, data driven decision making is fundamental and typically requires access to a statistical analysis tool.

To support delivery of training material, The Manufacturing Institute’s tool of choice is Minitab.

In preparation for this programme, delegates are responsible for ensuring they have access to a Minitab licence for the duration of the course including Fellowship. If you do not have access to a statistical analysis tool please inform TMI at the point of booking to explore the options available to you.

Further Information

Our complete Six Sigma Black Belt programme is conducted face-to-face using a combination of practical learning and theory, including essential and advanced Six Sigma tools and methods. This programme is geared towards high-potential and high-ability individuals seeking to strengthen their continuous improvement and problem-solving capabilities.

Session 1 - (Delivered over 3-days)

Educational Aims – Multi-vari analysis / Analysis of variance / (ANOVA) General linear model / Introduction to design of experiments (DoE) / DoE strategies and planning / 2k Factorials / Fractional factorials / Full factorials / Noise and robust design / Analysis of covariance (ANCOVA)

The final intake for this course expires 8:00am on Tuesday July 2nd, 2024

Session 2 - (Delivered over 3-days)

Educational Aims – Managing positive change / Visual management / Running teams / Coaching others / Communication skills / Managing meetings / How to make Six Sigma sustainable / Minitab®

The final intake for this course expires 8:00am on Tuesday July 2nd, 2024

Institution

FAQ’s

How does it work?

The course runs between 8.00 am to 4.00 pm over 6-days x 2 blocks of 3 sessions (8 hours per session)

What is the entry-level requirement?

Delegates must complete a Six Sigma Green Belt programme, preferably with the Manufacturing Institute, as they are complimentary. This training appeals to strong and confident communicators with leadership potential or experience who have an analytical mindset and adequate numeracy skills.

What does it include?

Includes access to materials, direction and support on our virtual learning environment (VLE) It’s Learning.

What are the pre-course requisites?

To gain the most from this programme, delegates should have green belt certification, enjoy an analytical challenge, be confident with numeracy, possess familiarity with Minitab® or an alternative data management tool and be on a leadership trajectory.

What is the certification?

A certificate of attendance is available to delegates who have attended all the Six Sigma Black Belt training days. For delegates embarking on a Fellowship, a certificate of completion is awarded subject to total course attendance and final project assessment. These are awards from The Manufacturing Institute.

What is a Six Sigma Black Belt Fellowship?

Following this programme, delegates have the opportunity to complete a Six Sigma Black Belt Fellowship, a recognition scheme based on the successful implementation of two work-based improvement projects. Black Belt certification is subject to successful project completion where delegates can demonstrate a practical understanding of supporting systems, tools, philosophies and principles. The Fellowship is an award from The Manufacturing Institute.

Who is this course designed for?

This course is aimed at high-potential and high-ability individuals who are passionate about improvement and seek to enhance their capability for problem-solving and influencing positive change by utilising Six Sigma methodologies in their organisations.

Who will be delivering this programme?

Delivered by endorsed TMI™️ affiliates, our experienced Master Black Belt Practitioners will combine presentation, peer-to-peer discussion, group activity and interactive learning exercises to ensure delivery remains energetic, thought-provoking and professionally relevant.

Using Minitab®

The Manufacturing Institute is an authorised trainer for Minitab® data analysis and quality process management for Manufacturing. During this programme, delegates will learn how to spot trends, solve problems and discover valuable insights into data using Minitab. In Six Sigma, data driven decision making is fundamental and typically requires access to a statistical analysis tool.To support delivery of training material, The Manufacturing Institute’s tool of choice is Minitab. In preparation for this programme, delegates are responsible for ensuring they have access to a Minitab licence for the duration of the course including Fellowship. If you do not have access to a statistical analysis tool please inform TMI at the point of booking to explore the options available to you.

Can we run this programme in-house?

Yes, we can deliver all our programmes on-site. Quotations are subject to minimum numbers, bespoke preparation, and broader company objectives. Please contact one of our team who can discuss the requirements in person.

Missed sessions?

Late cancellations or no-shows are subject to the terms and conditions of booking. We understand that life can get in the way of training, and as long as we are made aware, we will always endeavour to re-arrange missed sessions on the next available intake.

What is the value of Manufacturing Institute certification?

Our independently accredited certification is recognised and well-respected throughout the manufacturing sector. Certification from the Manufacturing Institute demonstrates a commitment to world-class training and thinking and will help position yourself and your organisation ahead of the competition.

The final intake for this course expires 8:00am on Tuesday July 2nd, 2024

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