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
This course is part of Digital Manufacturing & Design Technology Specialization
Instructor: Rahul Rai
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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
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