Six Sigma manufacturing black belt upgrade

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Six Sigma manufacturing black belt upgrade

Smallpeice Enterprises Limited
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Description

INTRODUCTION

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 Six Sigma project assigned, which should be progressed in parallel with training.

ACCREDITATION

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

BQF Accreditat…

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Didn't find what you were looking for? See also: Manufacturing, Six Sigma, Software / System Engineering, Retail (Management), and Project Management.

INTRODUCTION

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 Six Sigma project assigned, which should be progressed in parallel with training.

ACCREDITATION

The Smallpeice accreditation process for Six 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 £175 fee to cover the licensed accreditation route (Note: more details on accreditation options will be provided in Block 1).

BLOCK 1

Define Phase Revisited

Advanced Data Collection Planning

Advanced Statistics

Hypothesis Testing

Regression Analysis

November 22nd

November 23rd

November 24th

November 25th

November 26th

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

BLOCK 2

Design of Experiments

Control Phase

December 13th

December 14th

December 15th

December 16th

December 17th

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

  • 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

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There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.