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Introduction
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 organisation.
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: Learners should be comfortable with mathematical calculations and basic use of spreadsheet software. Each learner 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.
Upon successful completion of the course, learners will receive an "NTU Certificate of Completion".
Course Availability
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Date(s): 20 to 23 Aug 2024
Time: 9:00AM to 5:00PM, 9:00AM to 1:00PM (Last day)
Venue: NTU@one-north campus, Executive Centre (Buona Vista)
Registration Closing Date: 30 Jul 2024
The workshop aims to fulfill the following:
1. Solidify understanding of fundamental principles of data and statistical analysis
2. Assess and manage data integrity, whether for projects or ongoing process metrics
3. Organize/format data as needed to conduct meaningful analyses
4. Identify and formulate critical questions or hypotheses to be investigated through statistical analysis and experimentation
5. 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
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
Project leaders who are involved in process improvement activities.
Relevant occupations include:
• Engineering Manager
• Production Engineer or Manager
• Process Engineer
• Industrial Engineer
• Maintenance Engineers
• Supply Chain Manager
Standard Course Fee: S$2,670.50
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SSG Funding Support |
Course fee |
Course fee payable after SSG funding, if eligible under various schemes |
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BEFORE funding & GST |
AFTER funding & 9% GST |
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Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) |
S$2,450.00 |
S$801.15 |
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Enhanced Training Support for SMEs (ETSS) |
S$311.15 |
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SCs aged ≥ 40 years old |
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- Standard course fee is inclusive of GST.
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Mr Yoong Fook Loy
Fook Loy has over 15 years of in-depth training and hands-on deployment in Socio-technical system of Organisation Design and Development. While in employment, Fook Loy held various positions in Operation, Human Resources Development and Six Sigma. He was the Corporate Leadership Program Manager for Asia with GE Corporate, overseeing talent development in numerous GE Leadership Programs before establishing his training and consulting business – The Centre for Performance Transformation. Fook Loy currently also provides training and consulting services to companies such as Bank Negera Indonesia, IE Singapore, JTC, Cisco Systems, EDB Singapore, Microsoft, OCBC Bank, Sun Micro-system, and others. Fook Loy graduated with a Bachelor of Business Administration from The Royal Melbourne Institute of Technology. He is a Master Black Belt and a Master Trainer and Consultant for High Performance Work Organisation.
