Lean Sigma business green belt

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Lean Sigma business green belt

Smallpeice Enterprises Limited
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Description

INTRODUCTION

This programme integrates Lean and Six Sigma to provide a powerful improvement model that concentrates on both reducing cycle time and variability. The programme is based on a modular format which combines training inputs and practical simulation activities with an ongoing focus on project progress and reviews. The training objectives focus on enabling delegates to:

  • lead projects that deliver tangible organisational benefits

  • be familiar and confident with the key tools and techniques of Lean Sigma and understand how to use them within day-to-day activities

  • be effective team members on any Lean Sigma…

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Didn't find what you were looking for? See also: Six Sigma, Lean, Process Management, Project Management, and Risk Analysis.

INTRODUCTION

This programme integrates Lean and Six Sigma to provide a powerful improvement model that concentrates on both reducing cycle time and variability. The programme is based on a modular format which combines training inputs and practical simulation activities with an ongoing focus on project progress and reviews. The training objectives focus on enabling delegates to:

  • lead projects that deliver tangible organisational benefits

  • be familiar and confident with the key tools and techniques of Lean Sigma and understand how to use them within day-to-day activities

  • be effective team members on any Lean Sigma project team

ACCREDITATION

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

BLOCK 1

DEFINE PHASE

MEASURE PHASE

October 4th

October 5th

October 6th

Programme Introduction

  • Programme objectives & certification routes

  • Improvement Project Roles and responsibilities

Taking a Structured Approach to Business Improvement

  • Pre-requisites for successful projects

  • Different levels of problem solving

  • Different Introduction to the DMAIC roadmap

  • Project selection criteria

  • Application of the DMAIC toolkit in daily work

Project Identification & Scoping

  • Introduction to the Define phase

  • Initiating a project charter

  • Writing a Problem Statement

  • Using Boundary Examination to re-define the problem

  • Scoping the project: SIPOC Mapping & the Y=f(x) Cascade

  • Project work: Initial Problem Statement, SIPOC & Y=f (X) Cascade

Understanding the Voice of the Customer

  • Understanding our customers

  • Techniques for Collecting and analysing the Voice of the Customer

  • Defining Critical to Quality Characteristics

  • Project work: sources of VOC

  • Case Study: developing CTQs

Building Momentum 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

Managing a Project

  • Project Planning / Team Charter

  • Project Vision Statement

  • RACI / Initial Cost Benefit Analysis

  • Project Management & Reporting

Understanding the Current State

  • Introduction to Measure Phase

  • Concept of a Value Stream

  • Current State Mapping

  • Planning & running the activity

Detail Process Mapping Tools

  • Detail Process flow charting techniques

  • Taking a proactive approach to identifying weaknesses in the current process

  • Waste Walking

Identifying Potential Root Causes

  • Process Analysis

  • Use of cause and effect diagram to identify potential root causes

  • Use of failure mode effects analysis (FMEA) to identify potential opportunities for defects

  • Evaluating, reducing & managing risk

BLOCK 2

MEASURE PHASE

ANALYSE PHASE

November 1st

November 2nd

November 3rd

Data Collection Planning

  • Understanding Variation

  • Deciding what to measure

  • Data collection planning

  • Checking the measurement system

  • Writing operational definitions

Introduction to Basic Statistics

  • Measures of location; variation and proportion

  • Introduction to probability

  • Communicating statistics to a non technical audience

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

BLOCK 3 OPTIONAL 'STATS EXTRA' OPTIONAL 'STATS EXTRA'

IMPROVE PHASE

CONTROL PHASE

December 6th

December 7th

December 8th

December 9th

Hypothesis Testing

  • Introduction to significance testing

  • Understanding power & sample size

  • Testing data integrity

  • Hypothesis tests

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

Process Analysis: Developing a Future State

  • Scoping improvement activity

  • Developing a future state map

  • Creating flow and Just-In-Time processing

  • Mistake Proofing

Developing Alternative Solutions

  • Challenges of the improve phase

  • Innovation tools

  • Generating alternative solutions

Selecting & Validating Solutions

  • Solution selection, testing & piloting

  • Check list for solution validation

  • Implementation planning

Planning for Control

  • Developing a control plan

  • Choice of control mechanisms Visual Management Systems

Visual Management Boards

  • Control Boards

  • 5S / Standard Work

Embedding Change

  • Managing the phases of resistance to change

  • Post implementation reviews

  • Managing the transfer of ownership

  • Anchoring the change

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