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Process Improvement with Design of Experiment (DOE)

Process Improvement with Design of Experiment (DOE)

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Embrace a comprehensive exploration into the dynamic realm of Design of Experiment (DOE) and its pivotal role in process improvement. Our course meticulously unveils the theory, methodology, and practical application of DOE, ensuring participants are well-versed with the principles, applications, and the inherent limitations of various statistical techniques involved. With expert insights and real-world examples, attendees will grasp the essentials of designing experiments aimed at refining processes, and then move on to the crucial tasks of analyzing and interpreting the results, all while having a firm foundation to develop plans that optimize processes to their fullest potential.

Furthermore, the course offers a thorough examination of the experimentation process, complemented by a brief yet insightful introduction to the utility of statistical software in data analysis. This holistic approach ensures that learners are equipped with the necessary tools and knowledge to validate and champion the DOE methodology in real-world scenarios. At Tertiary Courses, we believe in empowering our attendees to spearhead innovation and ensure their business processes are not just efficient, but exemplary.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Process Performance Improvement with Six Sigma

Course Code: C950

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$600.00 (GST-exclusive)

$654.00 (GST-inclusive)

Mode of Training *

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Topic 1 Introduction to Design of Experiment

What is Design of Experiment (DoE)?
DoE vs OFAT Experiments
Comparative Experiments
Basic Principles of DoE
Terminology of DOE
Types of DoE

Topic 2 Factorial Experiments

What is Factorial Experiments
Two Level Factorial Design
Blocking and Replication
Analysis Factorial Experiments
Fractional Factorial Experiments
Confounding Effects and Resolution Types
Available Two Level Factorial Designs
Factorial Design with Center Points

Topic 3 Response Surface Method

What is Response Surface Method (RSM)?
Central Composite Design (CCD)
CCD Analysis

Topic 4 Mixture and Taguchi Designs

What is Mixture Design?
Components
Simplex Centroid Design
What is Taguchi Design?
Signal and Noise Factors
Catalogue of Taguchi Designs
Optimisation of Taguchi Designs

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Process Engineer
Quality Assurance Manager
Manufacturing Engineer
Operations Manager
Production Manager
R&D Scientist
Six Sigma Black Belt
Lean Manufacturing Specialist
Industrial Engineer
Continuous Improvement Manager
Quality Control Specialist
Operations Research Analyst
Supply Chain Analyst
Project Manager
Business Process Consultant

Trainers

Dr Alvin Ang: Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally

Khoo Yong: Khoo Yong is a ACTA certified trainer. Khoo Yong graduated from NTU with a bachelor degree in Mechanical and Production Engineering. Currently, working as a principal engineer in one of the top 3 Semiconductor Manufacturing Pure-Play Foundry in the world, he is a statistician support Operations and Engineering, driving the Statistical Process Control Program in the Fab. He specializes in Statistics , basic Excel and advance Excel, including excel macro coding. He regularly conduct Statistical Process Control Courses in the company. He is a certified Black Belt.

Ho Kum Chuen: Ho Kum Chuen is a ACTA certified trainer. Ho Kum Chuen is an accomplished six sigma MBB with more than 15 years experience in process improvement with a multinational company. During these years he had trained hundreds of black belts and green belts in lean and six sigma methodology. His experience also include the training and consultation of the IATF16949 core tools ( APQP, FMEA, MSA, SPC and PPAP) to meet the required certification. A Chartered Engineer registered in UK , Kum Chuen had also held various engineering managerial positions in the electronic manufacturing industries.