Lean Six Sigma Black Belt

About the event

• Certification: Lean Six Sigma Black Belt

• Format: Face-to-face workshops, six modules across three two-day blocks

• Venue: Manufacturers Network Head Office, 1 Adbaston Road, Trafford Park, Stretford, Manchester M32 0TP

• Times: 8:30am – 4:00pm each day

• Price: £1,750 + VAT per delegate

Delivery dates (Spring 2027)

• Block 1: 5 and 6 May 2027

• Block 2: 26 and 27 May 2027

• Block 3: 16 and 17 June 2027

About the programme

The Black Belt is for experienced practitioners leading complex improvement initiatives and strategic Lean transformation. It develops advanced statistical analysis, leadership of change and the ability to mentor teams and deliver measurable business results.

Who it is for

• Experienced continuous improvement practitioners

• Senior managers, senior engineers and operational improvement leads

• CI leaders seeking to coach teams, drive cultural change and lead strategic transformation

• Individuals responsible for major improvement or transformation initiatives

Before you book: delegates should hold a Lean Six Sigma Green Belt or have equivalent experience of data-driven improvement projects. New to Lean Six Sigma? Start with our Green Belt.

What you will learn

Define: Lean Six Sigma leadership, culture development and strategic project selection.

• Building a Lean Six Sigma culture and understanding organisational roles

• Core principles and the 10 fundamental Lean Six Sigma concepts

• Project selection, stakeholder engagement and DMAIC recap

• Project charter development and VOC to CTQ translation

Measure: advanced process measurement, statistical analysis and data integrity.

• Process mapping, defect and yield metrics

• Descriptive statistics and data interpretation

• Introduction to Minitab

• Sampling methods and sample size calculation

• Measurement System Analysis (MSA), Gauge R&R, attribute and variable studies

• Control charts and process capability analysis

Analyse: validate root causes with advanced analytical techniques.

• Root cause analysis and hypothesis development

• Hypothesis testing (means, variances and proportions)

• Normality and non-parametric testing

• Correlation and regression analysis

• Design of Experiments (DOE)

• Failure Mode and Effects Analysis (FMEA)

Improve: design, implement and optimise sustainable improvements.

• Applying Lean principles to process improvement

• Solution development, assumption testing and design optimisation

• Robust process design

• Managing risk and resistance to change

• Cost-benefit analysis, project planning and implementation

Control: sustain improvements through governance, leadership and performance management.

• Documentation, governance and process control

• Visual management, standard work and Leader Standard Work

• KPI management, control plans and responding to performance gaps

• Response planning and process capability review

• Coaching and mentoring Green Belts and project teams

Delivery and certification

Six modules across three two-day blocks combine practical exercises with a live improvement project.

To certify, delegates must:

• Complete all six days of training

• Complete a high-impact improvement project

• Pass an assessment of leadership and coaching competencies

Included: all six workshop days, materials and scheduled activities, project support, assessment and certification, lunch and refreshments.

Outcomes

• Lead complex Lean Six Sigma improvement initiatives

• Apply advanced statistical and analytical techniques

• Drive operational and organisational transformation

• Reduce variation, waste and process inefficiencies

• Coach and mentor Green Belts and project teams

• Deliver measurable business improvements using DMAIC

• Support strategic operational excellence across the organisation

Where next?

• Before: Lean Six Sigma Green Belt, February–March 2027.

• Leading CI across a site? See the Advanced CI Leadership Programme.

Training a team? Enquire about in-house delivery. By booking you agree to our training booking terms.