Manufacturing Programmes

Business Programmes

Contact Us




Commences April 8 '13
 (Leamington Spa)

2500+VAT per delegate

inclusive of:

  • Comprehensive training manual

  • Lunches and refreshments

  • Lean Sigma Toolkit

  • Access to Lean Sigma Website

4book places



For accredited Green Belts, this programme provides the upgrade path to achieve Black Belt status, focusing on the advanced DMAIC tools that are required for more complex projects. The 2-block course format combines training inputs and practical exercises and case study simulations. Delegates are recommended to enter the programme with a suitable Lean Sigma project assigned, which should be progressed in parallel with training.



The Smallpeice accreditation process for Lean Sigma Black Belts incorporates completing a project for formal assessment and passing a multi-choice examination.

BQF Accreditation Option: Smallpeice courses are also licensed for BQF (British Quality Foundation) accreditation, enabling candidates to achieve this external accreditation benchmark. The accreditation steps are as described above, with an additional 250 fee to cover the licensed accreditation route (Note: more details on accreditation options will be provided in Block 1).



Define Phase Revisited

Advanced Data Collection Planning

Advanced Statistics

Hypothesis Testing

Regression Analysis

April 8

April 9

April 10

April 11

April 12

Course Introduction

  • Expectations & objectives

  • The role of a Black Belt

  • Black Belt project selection


Define Phase Revisited

  • Scoping complex cross-functional projects

  • Use of quality function deployment to understand the voice of the customer

  • Benefits calculation & tracking

  • Planning for change

  • Managing your Black Belt Project


Advanced Data Collection Planning

  • Planning data collection for Black Belt projects

  • Sampling techniques re-visited

  • Gauge R&R for variable and attribute data (bias & linearity)

  • Statistical process control for attribute and variable data

  • Process capability revisited


Advanced Statistics

  • Basic statistics and probability revisited

  • Probability distributions

  • The central limit theorem

  • Dealing with non-normal data

  • Planning and communicating data analysis

Hypothesis Testing

  • Use of inferential statistics

  • Significance testing route map

  • Analysis of variable and attribute data

  • Power & sample size

  • Non-parametric techniques


Multi-Variable Regression

  • Introduction to multiple regression

  • Analysis of multi-variable data

  • Further diagnostic techniques

  • Signpost to advanced regression techniques




Design of Experiments

Control Phase

May 13

May 14

May 15

May 16

May 17

Design of Experiments

  • Introduction to designed experiments (DOE)

  • Applications of DOE techniques

  • Basic system optimisation

  • Screening techniques using DOE

  • Optimising a worked example


Advanced Design of Experiments

  • Review of Full Factorial Designs

  • Benefits & limitations of basic DOE techniques

  • Introduction to Fractional Factorial

  • Screening Designs

  • Overview of advanced techniques

Advanced Design of Experiments (Contd)

  • Taguchi techniques

  • Mixed & multi-level experiments

  • Response surface designs
    (CCD, CCF & Box-Behnken designs)

  • Introduction to evolutionary experimentation
    (EVOP techniques)


Note: All DOE modules Include SimWare Simulations & Minitab Analysis, as well as practical experimentation examples




  • Control phase techniques

  • Embedding the change within the business

  • Application of long term MSA

  • Long-term control


Intro to DFSS

  • Introduction to design for six sigma and the DMADV methodology

  • Links to DMAIC


Review & Next Steps Planning



Commences April 8 '13
 (Leamington Spa)

2500+VAT per delegate

inclusive of:

  • Comprehensive training manual

  • Lunches and refreshments

  • Lean Sigma Toolkit

  • Access to Lean Sigma Website

4book places


Smallpeice Enterprises Limited 2012