Apply Statistics for Lean six Sigma

WSQ Applying Statistics for Lean Six Sigma builds measurement and analytical skills that enable more refined and sophisticated use of data. These newly acquired skills and techniques then become the "power tools" which all Lean Six Sigma Practitioners apply when charts, graphs and "descriptive" data methods fall short.

Just as important as how to apply these analytical methods, this workshop emphasizes when and why statistical tools should be applied to add value to the organization.

Objectives

The workshop aims to fulfill the following:

• Solidify understanding of fundamental principles of data and statistical analysis
• Assess and manage data integrity, whether for projects or ongoing process metrics
• Organize/format data as needed to conduct meaningful analyses
• Identify and formulate critical questions or hypotheses to be investigated through statistical analysis and experimentation
• Teach participants a variety of valuable analytical methods, including their basic purpose and principles, when and where to use them, and how to execute the appropriate tests

Underpinning Knowledge

1. Principles of Basic Statistics
2. Method of Data Collection and Measurement of Baseline Performance
3. Application of hypothesis tools for different type of data analysis
4. Procedure for performing Design of Experiment
5. Application of Statistical Process Control

Pre-requisites: Participants should be comfortable with mathematical calculations and basic use of spreadsheet software. Each participant should come with a Windows OS & DVD drive laptop computer pre-installed with a designated statistical analysis software package for use during in-class exercises. The link to download the software will be given one week before the workshop commences.

Outline

Day 1

• Statistical principle and term used for Data Analysis
• Overview of Minitab Software and its functions
• Building a Data Collection Plan

Day 2

• Conducting Measurement System Analysis (MSA)
• Measuring Baseline – Process Capability for Continuous Data *Assessment

Day 3

• Application of hypothesis tools for different type of data analysis
• Conducting a 2 Level Factorial Design of Experiment *Assessment

Day 4

• Implementing Statistical Process Control

• Final Revision and Assessment