Advanced Manufacturing Process Analysis

Advanced Manufacturing Process Analysis

This course is part of Digital Manufacturing & Design Technology Specialization

Instructor: Rahul Rai

Access provided by Emirates Development Bank

27,831 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

1,211 reviews

Beginner level

No prior experience required

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

97%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

1,211 reviews

Beginner level

No prior experience required

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

97%

Most learners liked this course

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

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

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.

Gain insights into the best ways to collect, prepare and analyze data, as well as computational platforms that can be leveraged to collect and process data over sustained periods of time. Become better prepared to participate as a member of an advanced analysis team and share valuable inputs on effective implementation. Main concepts of this course will be delivered through lectures, readings, discussions and various videos. This is the fourth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA

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

5 videos Total 27 minutes

Introduction to Advanced Manufacturing Process Analysis 3 minutes
The Data Analysis Process 5 minutes
Data Collection in Different Manufacturing Settings 4 minutes
DMD Dialogue 1: Discrete Part Manufacturing 8 minutes
DMD Dialogue 2: Continuous Manufacturing 8 minutes

3 readings Total 35 minutes

Acknowledgements 10 minutes
Resources: Data Analysis: Value and Process 10 minutes
Resources: Manufacturing Settings and Data Collection 15 minutes

3 assignments Total 90 minutes

Advanced Manufacturing Process Analysis- Week 1 Quiz 30 minutes
Self-check 30 minutes
Self-check 30 minutes

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

4 videos Total 17 minutes

Big Data 5 minutes
Data Collection Considerations 3 minutes
Data Storage 5 minutes
Data Preprocessing 4 minutes

4 readings Total 120 minutes

Resources: Traditional Data Sets versus Big Data 60 minutes
Resources: Data Collection 15 minutes
Resources: Data Storage and Organization 20 minutes
Resources: Data Pre-processing 25 minutes

5 assignments Total 150 minutes

Advanced Manufacturing Process Analysis- Week 2 Quiz 30 minutes
Self-check 30 minutes
Self-check 30 minutes
Self-check 30 minutes
Self-check 30 minutes

1 discussion prompt Total 15 minutes

Advanced Manufacturing Process Analysis- Week 2 Reflection 15 minutes

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

5 videos Total 20 minutes

Sensitivity Analysis 5 minutes
Anomaly Detection 2 minutes
The Computational Platform 4 minutes
HPC and Cloud Computing 6 minutes
Your 4.0 Roadmap to Success 3 minutes

7 readings Total 175 minutes

Resources: Determination of Significant Variables/Factors 25 minutes
Resources: Anomaly Detection 30 minutes
Resources: Computing Platform, Components, Categories, and Capabilities 30 minutes
Resources: High Performance and Cloud Computing 25 minutes
Your 4.0 Roadmap to Success -- Resources 10 minutes
Your Roadmap Project: Step 4 30 minutes
Advanced Manufacturing Analysis -- Key Takeaways 25 minutes

5 assignments Total 150 minutes

Advanced Manufacturing Process Analysis- Week 3 Quiz 30 minutes
Self-check 30 minutes
Self-check 30 minutes
Self-check 30 minutes
Self-check 30 minutes

1 discussion prompt Total 10 minutes

Your 4.0 Roadmap to Success in Digital Manufacturing and Design Technology 10 minutes

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Instructor

Instructor ratings

(228 ratings)

Rahul Rai

The State University of New York

2 Courses 49,511 learners

Offered by

University at Buffalo

The State University of New York

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Reviewed on Jul 15, 2020

Loved the course content, but needed few site visits and a discussion atleast with one or two of the organizations that follow the process analysis.

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

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.

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