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17 - MSE - Maintenance, Scheduling, Planning
MSE 145B - Process Improvement via DMAIC Methodology (10 Days)
| Code | Start Date | Duration | Venue | |
|---|---|---|---|---|
| MSE 145B | 22 April 2024 | 10 Days | Istanbul | Registration Form Link |
| MSE 145B | 20 May 2024 | 10 Days | Istanbul | Registration Form Link |
| MSE 145B | 24 June 2024 | 10 Days | Istanbul | Registration Form Link |
| MSE 145B | 15 July 2024 | 10 Days | Istanbul | Registration Form Link |
| MSE 145B | 12 August 2024 | 10 Days | Istanbul | Registration Form Link |
| MSE 145B | 09 September 2024 | 10 Days | Istanbul | Registration Form Link |
| MSE 145B | 07 October 2024 | 10 Days | Istanbul | Registration Form Link |
| MSE 145B | 04 November 2024 | 10 Days | Istanbul | Registration Form Link |
| MSE 145B | 02 December 2024 | 10 Days | Istanbul | Registration Form Link |
Please contact us for fees
Course Description
The Lean Six Sigma methodology is a systematic application that is focused on achieving significant financial results and increasing customer satisfaction. When properly deployed on carefully selected business projects, this methodology can lead to a significant reduction—and in many cases, elimination—of defects, process waste, and out-of-control processes, which translate into dramatic business gains. Lean Six Sigma focuses on methods for conducting quality improvement projects in production and service operations. Having built into the course - concepts, methodologies, and statistical analysis tools of quality improvement, including quality theory, standards, design, control, and assurance will ensure successfully achieve your objectives in improvement projects. Attendees can apply the techniques and concepts learned in the class both to their individual projects and to a business improvement project assigned to them by their management sponsor.
* This course includes lean six-sigma green belt level content.
Course Objectives
- Describing the conceptual foundations of quality improvement theory
- Explaining the significance of quality management from a business perspective for both manufacturing and service organizations
- Describing methods used to implement quality management and assurance
- Applying methodologies to design quality into products, processes, and services
- Using quality tools to continuously improve an organization’s processes
- Creating quality requirements specifications based on standards and customers’ needs
- Describing, identifying and evaluating how different quality management systems operate
- Applying statistical analysis tools to real-world problems
Who Should Attend?
- Operations,
- Quality,
- Logistics and supply chain,
- Finance,
- Production,
- Engineering, and
- Other staff functions.
Course Details/Schedule
Day 1
- Introduction to Lean Six Sigma
- History of Continuous Improvement
- What is Lean Six Sigma?
- What is Lean?
- 8 Wastes
- Lean Toolbox
- What is Six Sigma?
- Histograms
- The Cost of Poor Quality
- Six Sigma Toolbox
- Six Sigma Roles & Responsibilities
- Example Six Sigma Project
- Lean & Six Sigma
Day 2
- Introduction to the DEFINE Phase
- Voice of the Customer (VOC)
- Feedback Mechanisms
- Affinity Diagrams
- Multi-voting
- Nominal Group Technique (NGT)
- Brainstorming
- CTQ Flow-down
- Tree Diagrams
- Critical to Quality (CTQ) Trees
- Project Charter
- Project Scope
- Pareto Charts
- Histograms
- Exploring Data using JMP’s Dynamic Linking Function
- Problem Statement
- Mission Statement
- Define Phase Tollgate
Day 3
- Introduction to the MEASURE Phase
- Process Characteristics
- SIPOC Diagrams
- Flowcharts
- Swim-lane Diagrams
- Data Collection
- Types of Data
- Data Collection Plans
- Check Sheets
- Measurement Systems
- Accuracy vs. Precision
Day 4
- Measurement System Analysis (MSA)
- Variables MSA – Gauge R&R Studies
- Attributes MSA – Percent Agreement
- Alternate MSA Approaches
- Basic Statistics
- Descriptive Statistics
- Stem & Leaf Diagram
- Histograms
- Box & Whisker Plots
- Scatter Diagrams/Plots
- Run Charts
Day 5
- Normal Distribution
- Normal Probability Plots
- Normality Testing
- Central Limit Theorem
- Process Capability
- Cp
- Cpk
- Process Capability Studies
- Cpk in Terms of Sigma-levels
- Baseline Measurements
- Measure Phase Tollgate
- Introduction to the ANALYZE Phase
- Root Cause Analysis
- 5 Whys/Why-Why Analysis
- Cause & Effect Diagrams
Day 6
- Pareto Charts
- Developing Practical Questions
- Introduction to Hypothesis Testing
- Type I & Type II Error
- Hypothesis Testing Guide
- Correlation
- Multiple correlation analysis
Day 7
- Simple Linear Regression
- Confidence Intervals & t-tests
- 1 sample t-tests
- Waste & Value Analysis
- Failure Mode & Effects Analysis (FMEA)
- Analyze Phase Tollgate
Day 8
- Introduction to the IMPROVE Phase
- Introduction to Lean Improvement Tools & Methods
- Value Stream Mapping (VSM)
- Facility Layout – Spaghetti Diagrams
- Standardized Work
- Visual (Process) Controls
- 5S
- Point of Use Storage (POUS)
- Batch (Lot) Size Reduction
- Quick Changeover
- Error (Mistake) Proofing
- Self Inspection – Quality at the Source
- Autonomation
- Total Productive Maintenance (TPM)
- Just in Time (JIT)
- Pull/Kanban Systems
- Cellular Flow
- Introduction to Design of Experiments (DOE)
- Full Factorial Designs
Day 9
- Solution Selection & Implementation Planning
- Brainstorming
- Multi-voting
- Nominal Group Technique (NGT)
- Prioritization Matrix
- Pilot Testing/Studies
- Simulation
- Models
- Prototypes
- Implementation Plan/Strategy
- Process Decision Program Charts (PDPCs)
- Improve Phase Tollgate
Day 10
- Introduction to the CONTROL Phase
- Statistical Process Control (SPC)
- Control Charts
- Sub-grouping
- Out of Control Conditions
- Process Log
- Out-of-Control-Action-Plan (OCAP)
- Variables Control Charts
- IR Control Charts
- X-bar – R Control Charts
- X-bar – s Control Charts
- Attributes Control Charts
- p & np Control Charts
- c & u Control Charts
- Maintain Controls
- Measurement System Re-analysis
- Control Plans
- Control Phase Tollgate
- Sample Lean Six Sigma Project Overview
