Lean Sigma & Six Sigma Training with Smallpeice Enterprises

SIX SIGMA MANUFACTURING GREEN BELT

Commences October 24th 2011 (Leamington Spa)	Ł1600+VAT per delegate inclusive of: Comprehensive training manual Lunches and refreshments Lean Sigma Toolkit Access to Lean Sigma Website	4book places

INTRODUCTION
This programme is specifically designed for Green Belts who will be running manufacturing projects. Following the DMAIC structure, the training focuses on the tools that are appropriate for business-based improvement activities. Minitab is introduced, along with user-friendly sessions in data collection & statistics. Business project examples are used throughout. The training is structured to be interactive and participative with practical exercises to help delegates to quickly develop their skills to: lead projects that deliver tangible organisational benefits be familiar and confident with the key tools and techniques of Sigma and understand how to use them within the organisation’s day-to-day activities be effective team members on any Six Sigma or improvement project team
ACCREDITATION

The Smallpeice accreditation process for Six Sigma Green 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 Ł175 fee to cover the licensed accreditation route (Note: more details on accreditation options will be provided in Block 1).

BLOCK 1
Defining the Problem	Understanding the Current State & Introduction to Statistics	Data Collection Planning & Measurement Systems Analysis	Leading Effective Change
October 24	October 25	October 26	October 27
Programme Introduction Programme Objectives & Certification Routes Improvement Project Roles and Responsibilities Improvement Roadmap Introduction to the DMAIC roadmap Pre-requisites for successful projects Project selection criteria Application of the DMAIC toolkit in daily work The Define Phase Writing problem statements Setting the project objectives Scoping the project – the concept of y =f (x) Mapping the high level process – SIPOC mapping tool Linking the problem to the voice of the customer Defining critical to quality characteristics Drawing up the project charter	Understanding the Current State Introduction to the Measure Phase Detail Process flow charting techniques Taking a proactive approach to identifying weaknesses in the current process Use of failure mode effects analysis (FMEA) to identify potential opportunities for defects Evaluating, reducing & managing risk Introduction to Statistical Concepts & Minitab Introduction to basic statistics and their context in Lean Sigma projects Learning to describe data -measures of location, variation and shape Communicating statistics to a non-technical audience Introduction to Minitab software	Data Collection Planning Understanding different types of process variation Selecting what to measure Key considerations for data collection planning Deciding how to collect the data: an introduction to sampling techniques Completing a data collection plan Writing effective operational definitions for data collection Measurement Systems Analysis Checking the measurement system Understanding measurement system variation An introduction to Gauge Repeatability and Reproducibility Gauge R & R in Minitab	Preparing and Planning for Change Understanding the nature of change Analysing enablers and barriers to change Analysing and managing stakeholders Understanding the role of the project sponsors Writing an effective communication plan Leading Process Change Barriers & enablers to team effectiveness Influencing for change Facilitating Improvement Activities with Teams Identifying activities Organising your team & stakeholders Facilitation Skills Contracting for Success Review next steps Action Planning

BLOCK 2
Analysing Performance & Verifying Root Causes		Optimising the Process	Designing the Future State & Sustaining the Improvements
November 29	November 30	December 1	December 2
Taking a Structured Approach to the Analyse Phase Introduction to the analyse phase 5 Why Approach to problem solving Forming and testing hypotheses Writing an analysis plan Visualising the Data What shape is your data? – Histograms Visualising Descriptive Statistics – Graphical Summary Tool Understanding confidence limits Assessing Process Control What is happening over time? – Time Series Plots Understanding process control Anatomy & use of Control charts Applications of SPC Charts	Assessing Process Capability Understanding process capability Calculating process capability for Continuous and Attribute Data Selecting appropriate capability metrics & indices Dealing with non-normal data Verifying the Root Cause Link to cause and effect diagram Stratifying the data – use of box plots Are there any relationships? - Scatter Diagrams Where are the biggest opportunities? - Pareto Links to project storyboard – hints and tips for summarising and presenting the analysis Introduction to significance testing approach	Introduction to Regression Analysis Understanding correlation Introduction to simple linear regression Application in Lean Sigma Projects Optimisation Processes: Design Of Experiments Introduction to designed experiments (DOE) Applications of DOE techniques Basic system optimisation Screening techniques using DOE Optimising a worked example	Improve Phase: Solution Generation & Piloting Challenges of the Improve Phase Generating alternative solutions Evaluating and selecting the best solution Piloting & solution introduction Solution Introduction & Control Developing a control plan Prevention & detection systems Choice of control method Out of control action planning Handover & transferring benefits Planning for continuous improvement Contracting for Success Project reviews, lessons learnt & next steps