Design of Experiments (DOE) with JMP for Manufacturing Engineers

Master the art of experimental design with our specialized training program designed for manufacturing engineers. Gain expertise in leveraging JMP software to optimize processes and improve product quality. Enroll now to transform your approach to manufacturing challenges with cutting-edge DOE techniques.

Face-to-Face Oct 27-28, 2025 9:00 AM - 5:00 PM Habil Hadi Mohammed
updated
intermediate
Design of Experiments (DOE) with JMP for Manufacturing Engineers
We price match

Public Pricing

MYR 6000

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
8 intakes
Full life-time access
English

Classification

Focus Area Course
  • Addresses skill gaps across industries
  • Emphasizes emerging technologies and practices
  • Enhances workforce capabilities
  • Verified by industry experts
  • Broadly applicable across sectors

Subsidies

HRDC Claimable logo

What you'll learn

  • Design full factorial experiments and analyze results using ANOVA.
  • Understand fundamental principles and terminology of DOE in manufacturing contexts.
  • Apply statistical concepts to interpret variability and significance in process data.
  • Create fractional factorial designs considering aliasing and resolution implications.
  • Implement response surface methodology for process optimization.
  • Optimize multiple responses simultaneously using desirability functions.
  • Navigate JMP's DOE platform for designing and analyzing experiments.
  • Execute a comprehensive DOE project from design through implementation.

Why should you attend?

This course provides a comprehensive exploration of the design of experiments (DOE) tailored for manufacturing engineers, utilizing the powerful JMP software platform. Participants will begin by understanding the fundamental principles and terminology of DOE, emphasizing its advantages over traditional one-factor-at-a-time experimentation. Through hands-on sessions, learners will navigate the JMP interface and explore sample datasets to solidify their understanding. Building on this foundation, the course delves into essential statistical concepts necessary for effective experimental design. Students will learn to interpret variability in manufacturing processes and apply hypothesis testing and confidence intervals using JMP. The course further explores factorial designs, both full and fractional, teaching participants how to create, analyze, and interpret these experiments within a manufacturing context. The curriculum also covers advanced topics such as response surface methodology (RSM) and mixture designs for formulation optimization. Learners will engage in practical exercises to design RSM experiments and optimize multiple responses simultaneously. Robust design methods are introduced to enhance process robustness through Taguchi methods and signal-to-noise ratios. Finally, participants will apply their knowledge in a capstone project that simulates real-world manufacturing challenges. This project emphasizes team-based experimental design and execution, culminating in results presentation and implementation planning. By the end of the course, students will be equipped with the skills to effectively implement DOE strategies in manufacturing settings.

Course Syllabus

Day 1 - DOE Fundamentals and Factorial Designs
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
Day 2 - Screening Methods and Case Studies
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.

7 Students
83 Courses

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.

26 Courses
English

Minimum Qualification

undergraduate

Target Audience

students
entry level
engineers

Methodologies

lecture
slides
case studies
group assignment
labs
q&A

Required Software

JMP Pro

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.

FAQs

Why should you attend?

This course provides a comprehensive exploration of the design of experiments (DOE) tailored for manufacturing engineers, utilizing the powerful JMP software platform. Participants will begin by understanding the fundamental principles and terminology of DOE, emphasizing its advantages over traditional one-factor-at-a-time experimentation. Through hands-on sessions, learners will navigate the JMP interface and explore sample datasets to solidify their understanding. Building on this foundation, the course delves into essential statistical concepts necessary for effective experimental design. Students will learn to interpret variability in manufacturing processes and apply hypothesis testing and confidence intervals using JMP. The course further explores factorial designs, both full and fractional, teaching participants how to create, analyze, and interpret these experiments within a manufacturing context. The curriculum also covers advanced topics such as response surface methodology (RSM) and mixture designs for formulation optimization. Learners will engage in practical exercises to design RSM experiments and optimize multiple responses simultaneously. Robust design methods are introduced to enhance process robustness through Taguchi methods and signal-to-noise ratios. Finally, participants will apply their knowledge in a capstone project that simulates real-world manufacturing challenges. This project emphasizes team-based experimental design and execution, culminating in results presentation and implementation planning. By the end of the course, students will be equipped with the skills to effectively implement DOE strategies in manufacturing settings.

What you'll learn

  • Design full factorial experiments and analyze results using ANOVA.
  • Understand fundamental principles and terminology of DOE in manufacturing contexts.
  • Apply statistical concepts to interpret variability and significance in process data.
  • Create fractional factorial designs considering aliasing and resolution implications.
  • Implement response surface methodology for process optimization.
  • Optimize multiple responses simultaneously using desirability functions.
  • Navigate JMP's DOE platform for designing and analyzing experiments.
  • Execute a comprehensive DOE project from design through implementation.

Course Syllabus

Day 1 - DOE Fundamentals and Factorial Designs
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
Day 2 - Screening Methods and Case Studies
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 6000

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
8 intakes
Full life-time access
English

Classification

Focus Area Course
  • Addresses skill gaps across industries
  • Emphasizes emerging technologies and practices
  • Enhances workforce capabilities
  • Verified by industry experts
  • Broadly applicable across sectors

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.

7 Students
83 Courses
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.

26 Courses
English

Minimum Qualification

undergraduate

Target Audience

students
entry level
engineers

Methodologies

lecture
slides
case studies
group assignment
labs
q&A

Required Software

JMP Pro

FAQs

Close menu