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Programme
Introduction
Taking a
Structured Approach to Business Improvement
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Pre-requisites for successful projects
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Different
levels of problem solving
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Different
Introduction to the DMAIC roadmap
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Project
selection criteria
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Application of the DMAIC toolkit in daily work
Project
Identification & Scoping
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Introduction to the Define phase
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Initiating
a project charter
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Writing a
Problem Statement
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Using
Boundary Examination to re-define the problem
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Scoping
the project: SIPOC Mapping & the Y=f(x) Cascade
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Project
work: Initial Problem Statement, SIPOC & Y=f (X) Cascade
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Understanding
the Voice of the Customer
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Understanding our customers
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Techniques
for Collecting and analysing the Voice of the Customer
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Defining
Critical to Quality Characteristics
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Project
work: sources of VOC
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Case
Study: developing CTQs
Building
Momentum For Change
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Understanding the nature of change
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Analysing
enablers and barriers to change
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Analysing
and managing stakeholders
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Understanding the role of the project sponsors
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Writing an
effective communication plan
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Leading
Process Change
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Barriers &
enablers to team effectiveness
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Influencing for change
Managing a
Project
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Project
Planning / Team Charter
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Project
Vision Statement
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RACI /
Initial Cost Benefit Analysis
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Project
Management & Reporting
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Understanding
the Current State
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Introduction to Measure Phase
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Concept of
a Value Stream
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Current
State Mapping
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Planning &
running the activity
Detail Process
Mapping Tools
Identifying
Potential Root Causes
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Process
Analysis
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Use of
cause and effect diagram to identify potential root
causes
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Use of
failure mode effects analysis (FMEA) to identify
potential opportunities for defects
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Evaluating, reducing & managing risk
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Data
Collection Planning
Introduction
to Basic Statistics
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Measures
of location; variation and proportion
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Introduction to probability
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Communicating statistics to a non technical audience
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Taking a
Structured Approach to the Analyse Phase
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Introduction to the analyse phase
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5 Why
Approach to problem solving
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Forming
and testing hypotheses
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Writing an
analysis plan
Visualising
the Data
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What shape
is your data? – Histograms
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Visualising Descriptive Statistics – Graphical Summary
Tool
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Understanding confidence limits
Assessing
Process Control
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What is
happening over time? – Time Series Plots
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Understanding process control
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Anatomy &
use of Control charts
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Applications of SPC Charts
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Assessing
Process Capability
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Understanding process capability
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Calculating process capability for Continuous and
Attribute Data
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Selecting
appropriate capability metrics & indices
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Dealing
with non-normal data
Verifying the
Root Cause
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Link to
cause and effect diagram
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Stratifying the data – use of box plots
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Are there
any relationships? - Scatter Diagrams
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Where are
the biggest opportunities? - Pareto
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Links to
project storyboard – hints and tips for summarising and
presenting the analysis
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Introduction to significance testing approach
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