Design of Experiments in Manufacturing

Master the art of designing experiments in manufacturing with our expert-led training program. This course equips you with essential skills to optimize processes through strategic experimentation. Dive deep into advanced methodologies like factorial designs and response surface analysis while gaining hands-on experience with industry-standard tools like MinitabTM. Elevate your expertise in robust design techniques and statistical analysis to drive quality improvements across your projects.

Face-to-Face Jul 14-15, 2025 9:00 AM - 5:00 PM Tasmeea Rahman
updated
intermediate
Design of Experiments in Manufacturing
We price match

Public Pricing

MYR 12000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 5600
Material Fees: MYR 600
Total Fees: MYR 6200

Features

2 days
14 modules
48 intakes
Full life-time access
English

Classification

Industry Specific Course
  • Tailored to specific industry needs
  • Focuses on specialized tools and techniques
  • Ensures alignment with current and future standards
  • Provides targeted, practical training
  • Verified by industry experts

Subsidies

HRDC Claimable logo

What you'll learn

  • Understand the fundamental principles of Design of Experiments (DOE) and its application in manufacturing.
  • Learn advanced techniques such as response surface methodology and robust design experiments.
  • Develop skills in planning and preparing effective experimental setups.
  • Explore sequential experimentation strategies for continuous improvement.
  • Engage in project-based learning to implement DOE strategies effectively.
  • Design custom screening experiments to identify significant effects efficiently.
  • Gain proficiency in analyzing factorial experiments using MinitabTM software.
  • Apply statistical analysis methods including ANOVA and regression for interpreting experimental data.

Why should you attend?

This course offers a comprehensive exploration of the Design of Experiments (DOE) methodology, a critical tool in manufacturing for optimizing processes and reducing variation. Participants will begin by understanding the fundamental principles of DOE and how it compares to other experimental approaches. The course emphasizes the importance of DOE in the global marketplace, highlighting its role in enhancing product quality and efficiency. As learners progress, they will delve into planning and preparing for DOE, focusing on writing clear problem statements and selecting appropriate response variables. Through hands-on exercises, participants will gain practical experience in identifying experimental factors and setting up tests effectively. The course also covers factorial experiments, introducing both full and fractional designs, with practical sessions using MinitabTM software to analyze data. Advanced topics include blocking, replication, randomization, and response surface methodology. Learners will explore robust design experiments using classical and Taguchi approaches to ensure product reliability under varying conditions. Statistical analysis techniques such as ANOVA and regression are also covered to help participants interpret experimental results accurately. The course concludes with discussions on sequential experimentation, custom screening designs, and handling variance responses. Participants will engage in project-based learning to apply their knowledge in real-world scenarios, ensuring they are well-prepared to implement DOE strategies effectively in their organizations.

Course Syllabus

What is Design of Experiments (DOE)?
Comparing DOE with Other Experimental Approaches
Role of DOE in Global Marketplace and Reducing Process Variation
Hands-on Exercise: Team Problem Solving Exercise Using Engineering Judgment
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2

Instructor

Loading...
Tasmeea Rahman Lecturer Teaching

Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.

71 Courses
7 Years

Instructor

Loading...
Habil Hadi Mohammed Mechanical Engineer Teaching

Habil Hadi Mohammed is a highly skilled Mechanical Engineer with a robust academic and professional background, currently pursuing a PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM). His research focuses on 'Additive Manufacturing,' supported by UPM funding. Prior to his doctoral studies, he completed a Master's degree in Manufacturing Systems Engineering from the same university, where he excelled with a CGPA of 3.81/4. His dissertation explored the innovative use of single-mode fibre lasers for surface polishing of FDM printed parts. Habil's academic journey began with a Bachelor's degree in Mechanical Engineering from Salahaddin University-Hawler, Erbil, where he developed an internal ballistics model for artillery gun projectiles. In addition to his academic pursuits, Habil has accumulated significant industry experience. As of January 2024, he serves as a Developer Engineer for an international company based in Switzerland. In this role, he designs and develops machines using both 3D printing and conventional manufacturing techniques such as milling and turning. He successfully built and tested prototypes using self-built 3D printers and collaborates with Micro Precision Manufacturing (MPM) to support full-scale production processes. Since 2021, Habil has also been contributing as a Research Fellow at UPM's Faculty of Engineering. His work includes software development for multi-material Functionally Graded Material (FGM) 3D printers and designing automated sports equipment in collaboration with the Department of Sport Studies. He is actively involved in developing hydroponic plant systems and object-specific 3D printers for industry partners. Before his current roles, Habil gained managerial experience as an Area Manager at COZMO Market in Sulaymaniyah from 2016 to 2018, where he oversaw multiple departments and significantly increased sales through strategic planning. He also worked as a Sales Representative for BIODERMA during this period, achieving notable sales success. Habil's technical skills are complemented by various certifications in data management, visualization, programming languages like Python and C/C++, and design tools such as AutoCAD and Fusion360. His participation in numerous webinars and conferences highlights his commitment to continuous learning and staying abreast of emerging technologies. Fluent in Kurdish, Arabic, and English, Habil is well-equipped to engage with diverse teams across global platforms.

22 Courses
English
8 Years

Minimum Qualification

undergraduate

Target Audience

engineers

Methodologies

lecture
slides
case studies
labs
q&A

Instructor Reviews

RR
Rohit R
3 years ago
3 years ago

Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative.

SA
Sam A
3 years ago
3 years ago

Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges.

CS
Carmen S
3 years ago
3 years ago

The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion.

Why should you attend?

This course offers a comprehensive exploration of the Design of Experiments (DOE) methodology, a critical tool in manufacturing for optimizing processes and reducing variation. Participants will begin by understanding the fundamental principles of DOE and how it compares to other experimental approaches. The course emphasizes the importance of DOE in the global marketplace, highlighting its role in enhancing product quality and efficiency. As learners progress, they will delve into planning and preparing for DOE, focusing on writing clear problem statements and selecting appropriate response variables. Through hands-on exercises, participants will gain practical experience in identifying experimental factors and setting up tests effectively. The course also covers factorial experiments, introducing both full and fractional designs, with practical sessions using MinitabTM software to analyze data. Advanced topics include blocking, replication, randomization, and response surface methodology. Learners will explore robust design experiments using classical and Taguchi approaches to ensure product reliability under varying conditions. Statistical analysis techniques such as ANOVA and regression are also covered to help participants interpret experimental results accurately. The course concludes with discussions on sequential experimentation, custom screening designs, and handling variance responses. Participants will engage in project-based learning to apply their knowledge in real-world scenarios, ensuring they are well-prepared to implement DOE strategies effectively in their organizations.

What you'll learn

  • Understand the fundamental principles of Design of Experiments (DOE) and its application in manufacturing.
  • Learn advanced techniques such as response surface methodology and robust design experiments.
  • Develop skills in planning and preparing effective experimental setups.
  • Explore sequential experimentation strategies for continuous improvement.
  • Engage in project-based learning to implement DOE strategies effectively.
  • Design custom screening experiments to identify significant effects efficiently.
  • Gain proficiency in analyzing factorial experiments using MinitabTM software.
  • Apply statistical analysis methods including ANOVA and regression for interpreting experimental data.

Course Syllabus

What is Design of Experiments (DOE)?
Comparing DOE with Other Experimental Approaches
Role of DOE in Global Marketplace and Reducing Process Variation
Hands-on Exercise: Team Problem Solving Exercise Using Engineering Judgment
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2

Instructor Reviews

RR
Rohit R
3 years ago
3 years ago

Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative.

SA
Sam A
3 years ago
3 years ago

Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges.

CS
Carmen S
3 years ago
3 years ago

The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion.

We price match

Public Pricing

MYR 12000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 5600
Material Fees: MYR 600
Total Fees: MYR 6200

Features

2 days
14 modules
48 intakes
Full life-time access
English

Classification

Industry Specific Course
  • Tailored to specific industry needs
  • Focuses on specialized tools and techniques
  • Ensures alignment with current and future standards
  • Provides targeted, practical training
  • Verified by industry experts

Subsidies

HRDC Claimable logo

Instructors

Loading...
Tasmeea Rahman Lecturer Teaching

Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.

71 Courses
7 Years
Loading...
Habil Hadi Mohammed Mechanical Engineer Teaching

Habil Hadi Mohammed is a highly skilled Mechanical Engineer with a robust academic and professional background, currently pursuing a PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM). His research focuses on 'Additive Manufacturing,' supported by UPM funding. Prior to his doctoral studies, he completed a Master's degree in Manufacturing Systems Engineering from the same university, where he excelled with a CGPA of 3.81/4. His dissertation explored the innovative use of single-mode fibre lasers for surface polishing of FDM printed parts. Habil's academic journey began with a Bachelor's degree in Mechanical Engineering from Salahaddin University-Hawler, Erbil, where he developed an internal ballistics model for artillery gun projectiles. In addition to his academic pursuits, Habil has accumulated significant industry experience. As of January 2024, he serves as a Developer Engineer for an international company based in Switzerland. In this role, he designs and develops machines using both 3D printing and conventional manufacturing techniques such as milling and turning. He successfully built and tested prototypes using self-built 3D printers and collaborates with Micro Precision Manufacturing (MPM) to support full-scale production processes. Since 2021, Habil has also been contributing as a Research Fellow at UPM's Faculty of Engineering. His work includes software development for multi-material Functionally Graded Material (FGM) 3D printers and designing automated sports equipment in collaboration with the Department of Sport Studies. He is actively involved in developing hydroponic plant systems and object-specific 3D printers for industry partners. Before his current roles, Habil gained managerial experience as an Area Manager at COZMO Market in Sulaymaniyah from 2016 to 2018, where he oversaw multiple departments and significantly increased sales through strategic planning. He also worked as a Sales Representative for BIODERMA during this period, achieving notable sales success. Habil's technical skills are complemented by various certifications in data management, visualization, programming languages like Python and C/C++, and design tools such as AutoCAD and Fusion360. His participation in numerous webinars and conferences highlights his commitment to continuous learning and staying abreast of emerging technologies. Fluent in Kurdish, Arabic, and English, Habil is well-equipped to engage with diverse teams across global platforms.

22 Courses
English
8 Years

Minimum Qualification

undergraduate

Target Audience

engineers

Methodologies

lecture
slides
case studies
labs
q&A
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