Variability is a fact of life in manufacturing environments, impacting product quality and yield. Through this course, students will learn why performing advanced analysis of manufacturing processes is integral for diagnosing and correcting operational flaws in order to improve yields and reduce costs.
Advanced Manufacturing Process Analysis
Advanced Manufacturing Process Analysis
This course is part of Digital Manufacturing & Design Technology Specialization
Instructor: Rahul Rai
Sponsored by Taipei Medical University [C4CB]
24,852 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(1,189 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 13 hours
Learn at your own pace
97%
Most learners liked this course
Skills you'll gain
- Plant Operations and Management
- Data Collection
- Data Storage
- Process Engineering
- Unsupervised Learning
- Manufacturing Processes
- Big Data
- Manufacturing and Production
- Analytics
- Industrial Engineering
- Manufacturing Operations
- Engineering
- Data Science
- Databases
- Data Processing
- Computing Platforms
- Cloud Applications
- Advanced Analytics
- Anomaly Detection
- Business Analytics
Details to know
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Assessments
13 assignments
Taught in English
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This course is part of the Digital Manufacturing & Design Technology Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
The purpose of this module is to introduce the concept of advanced analysis in improvement of manufacturing processes. Also, this module will help you to understand the difference between discrete manufacturing and continuous manufacturing.
What's included
5 videos3 readings3 assignments
Storing big data is quite different from handling traditional data. This difference is explained in this module. The purpose of this module is to introduce various steps involved in data analysis. Data Collection, Data Storage, Data Organization and Data Pre-processing concepts are explained.
What's included
4 videos4 readings5 assignments1 discussion prompt
The purpose of this module is to introduce various techniques used in advanced analysis, like Determination of Significant Variables/Factors, Data Visualization, and Anomaly Detection. Also, this module will introduce various computational platforms (HPC, Cloud computing techniques) that exist for carrying out advanced analysis.
What's included
5 videos7 readings5 assignments1 discussion prompt
Instructor
Instructor ratings
4.5 (222 ratings)
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Learner reviews
4.6
1,189 reviews
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Showing 3 of 1189
AJ
5
Reviewed on Apr 7, 2020
Excellent course for beginners in manufacturing industry to learn about digital manufacturing & Iot. Clear and effective teaching with real life examples.
MP
5
Reviewed on Apr 29, 2017
Thank you for giving me excellent information on digital manufacturing. It is very helpful course for me. Thank you The State University of New York and Coursera.
CR
4
Reviewed on Jul 28, 2020
This course is very useful for every engineer.This course is mostly for mechanical engineers those who are going to have real time experience in their future
Recommended if you're interested in Physical Science and Engineering
Rutgers the State University of New Jersey
Eindhoven University of Technology
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