Advanced Manufacturing Process Analysis
Master data-driven manufacturing analysis techniques, from process monitoring to computational platforms for Industry 4.0.
Master data-driven manufacturing analysis techniques, from process monitoring to computational platforms for Industry 4.0.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Digital Manufacturing & Design Technology Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(1,181 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Understand advanced manufacturing analysis principles
Implement data collection and preprocessing strategies
Apply computational techniques for process analysis
Utilize HPC and cloud computing platforms
Identify and analyze manufacturing process variability
Skills you'll gain
This course includes:
1 Hours PreRecorded video
13 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course explores advanced analysis techniques for manufacturing processes. Students learn about data collection, storage, and preprocessing in both discrete and continuous manufacturing environments. The curriculum covers big data handling, sensitivity analysis, anomaly detection, and computational platforms including HPC and cloud computing. Special emphasis is placed on practical applications for improving manufacturing yields and reducing costs.
Introduction to Advanced Manufacturing Process Analysis
Module 1 · 2 Hours to complete
Data Collection
Module 2 · 5 Hours to complete
Data Analysis: Computational Techniques and Platforms
Module 3 · 5 Hours to complete
Fee Structure
Instructor
Associate Professor of Mechanical and Aerospace Engineering
Dr. Rahul Rai is an Associate Professor of Mechanical and Aerospace Engineering at the University at Buffalo, where he specializes in manufacturing and design. He holds a Ph.D. in Mechanical Engineering from The University of Texas at Austin, and his research focuses on digital manufacturing and design tools that enhance product and system fabrication. By integrating engineering innovations with machine learning, artificial intelligence, statistics, optimization, and geometric reasoning, Dr. Rai aims to address critical challenges in the manufacturing and engineering design domains.In his teaching role, Dr. Rai emphasizes the importance of manufacturing analytics, bringing his extensive knowledge to courses such as "Advanced Manufacturing Process Analysis" and "Intelligent Machining." His work not only contributes to academic knowledge but also aims to prepare students for real-world applications in the evolving landscape of manufacturing technology. Through his research and educational initiatives, Dr. Rai is dedicated to advancing the field of mechanical and aerospace engineering while fostering a new generation of engineers equipped with cutting-edge skills.
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4.6 course rating
1,181 ratings
Frequently asked questions
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