Design of Experiments 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 Nov 12-13, 2026 9:00 AM - 5:00 PM Tasmeea Rahman
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 2800/day
Material Fees: MYR 600
Total Fees: MYR 6200 ++

Features

2 days
16 modules
8 intakes
Full life-time access
English
Technical: 25 pax

Target Audience

students
engineers

Methodologies

lecture
slides
labs
case studies
group assignment
q&A

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
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - Screening Methods and Case Studies
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2

Instructor

Loading...
Tasmeea Rahman Data Analytics & Engineering Training Specialist
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
TTT Accreditation
Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.
8 Students
93 Courses
8 Years

Instructor

Loading...
Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
Trainer Profile
Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.
120 Courses
English
9 Years

Required Software

JMP Pro

Instructor Reviews

TR

Tasmeea Rahman

Data Analytics & Engineering Training Specialist

"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."

"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."

"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."

FAQ

Frequently Asked Questions About This Course

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
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - Screening Methods and Case Studies
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2

Instructor Reviews

Tasmeea Rahman

Tasmeea Rahman

Data Analytics & Engineering Training Specialist

"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."

"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."

"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 2800/day
Material Fees: MYR 600
Total Fees: MYR 6200 ++

Features

2 days
16 modules
8 intakes
Full life-time access
English
Technical: 25 pax

Target Audience

students
engineers

Methodologies

lecture
slides
labs
case studies
group assignment
q&A

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 Data Analytics & Engineering Training Specialist
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
TTT Accreditation
Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.
8 Students
93 Courses
8 Years
Loading...
Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
Trainer Profile
Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.
120 Courses
English
9 Years

Required Software

JMP Pro

FAQ

Frequently Asked Questions About This Course

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