• Choosing Lean Six Sigma
• Integration between the two approaches, when and how together
• The Six Sigma revolution, potential and organizational architecture in manufacturing processes and services
• The DMAIC process
• Applications and results in industry and services
• Set up the project: choose the process or product to be improved
• How to interpret customer needs and turn them into requirements
• Defining the objectives of a project
• Mapping industrial and service processes: SIPOC
• Focus on the problem: Pareto
• Introduction to MinitabTM

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• Principles and cycle of communication
• Perception and attribution processes
• Team dynamics and spontaneous roles (Contributor, Collaborator, Communicator, Challenger)
• Defining the objectives of a working group
• Processes of clarification, goal sharing, and team motivation
• The role of the team leader: task and relationship orientation
• Success factors of working groups
• Consensus building methods
• Listening and feedback techniques
• Role and composition of a Kaizen Team
• Ground rules for creating and managing an improvement team
• Closing meetings and consolidating learning

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• Lean Organization and Lean Production
• Continuous Improvement - Kaizen and Kaikaku
• Getting the flow driven by demand
• Mapping industrial and service processes: VSM and Makigami for services
• Calculate Takt time

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• Identify the possible causes of a defect – Fishbone analysis and Priority Matrix
• Set up a proper data collection for variable and attribute data
• Concepts of normal and binomial distribution
• Sampling methodologies
• What graphical methods to use for descriptive data analysis: Graphical summary, Boxplot, Runchart
• Assessing the capability of manufacturing and service processes: capability indexes, Sigma level and DPMO
• How to check the validity of measurement systems for variable and attribute data: GAGE R&R and Attribute Agreement Analysis

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• How and when to use qualitative analysis and quantitative analysis
• Tools for qualitative analysis: 5 whys, cause & effect matrix, gemba walk
• Tools for graphical data analysis: scatter diagram and Matrix plot
• The tools for quantitative analysis: hypothesis testing and regression
• Confidence intervals and roadmap for parametric tests
• Analysis of Variance (ANOVA)
• Simple linear regression

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• Using Push and Pull - Kanban methods: when and how to use them
• The potential of Just in Time
• Rapid set-up improvement (SMED)
• Standard work in manufacturing and service processes
• The potential of 5S and visual management
• Managing a Kaizen Event

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• Generate solutions: creative thinking techniques
• Risk evaluation and pilot tests
• Design of Experiment: full factorial
• Process FMEA
• Implement solutions

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• Control Plans
• The importance of Statistical Process Control (SPC)
• The difference between control limits and specification limits
• Control Charts roadmap for the use of control cards.
• The control charts for variables: I-MR, Xbar-R chart
• Attribute control charts: P, NP chart
• Saving calculation
• Continuous improvement opportunities

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Coaching Session
Individual meetings to support the setting of project work and project review

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• Written text: 40 questions (34 multiple choice + 6 open questions)
• Project presentation to Steering Committee

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