4.6
stars
1,148 ratings

Rahul Rai

21,443 already enrolled

Offered By

University at Buffalo

The State University of New York

University at Buffalo

About this Course

11,717 recent views

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

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Approx. 13 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Approx. 13 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.44/5 (202 Ratings)

Rahul Rai

Associate Professor

Mechanical and Aerospace Engineering

38,040 Learners

2 Courses

Offered by

University at Buffalo

The State University of New York

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Syllabus - What you will learn from this course

Content Rating96%(4,210 ratings)

Week1

Week 1

3 hours to complete

Introduction to Advanced Manufacturing Process Analysis

3 hours to complete

5 videos (Total 27 min), 3 readings, 3 quizzes

5 videos

Introduction to Advanced Manufacturing Process Analysis2mThe Data Analysis Process4mData Collection in Different Manufacturing Settings4mDMD Dialogue 1: Discrete Part Manufacturing7mDMD Dialogue 2: Continuous Manufacturing7m

3 readings

Acknowledgements10mResources: Data Analysis: Value and Process10mResources: Manufacturing Settings and Data Collection15m

3 practice exercises

Self-check30mSelf-check30mAdvanced Manufacturing Process Analysis- Week 1 Quiz30m

Week2

Week 2

5 hours to complete

Data Collection

5 hours to complete

4 videos (Total 17 min), 4 readings, 5 quizzes

Week3

Week 3

6 hours to complete

Data Analysis: Computational Techniques and Platforms

6 hours to complete

5 videos (Total 20 min), 7 readings, 5 quizzes

5 videos

Sensitivity Analysis4mAnomaly Detection2mThe Computational Platform3mHPC and Cloud Computing5mYour 4.0 Roadmap to Success3m

7 readings

Resources: Determination of Significant Variables/Factors25mResources: Anomaly Detection30mResources: Computing Platform, Components, Categories, and Capabilities30mResources: High Performance and Cloud Computing25mYour 4.0 Roadmap to Success -- Resources10mYour Roadmap Project: Step 430mAdvanced Manufacturing Analysis -- Key Takeaways25m

5 practice exercises

Self-check30mSelf-check30mSelf-check30mSelf-check30mAdvanced Manufacturing Process Analysis- Week 3 Quiz30m

Reviews

4.6

278 reviews

5 stars
69.59%
4 stars
23.34%
3 stars
4.61%
2 stars
1.48%
1 star
0.95%

TOP REVIEWS FROM ADVANCED MANUFACTURING PROCESS ANALYSIS

by RRJun 29, 2020

This course is really very good,personally i learned a lot about of Advance Manufacturing Process Analysis,steps involved and a jist about IoT's & Big data.

by DHMay 5, 2020

simple to understand, highly informative, methods to adopt in data handling, collection, storing, analysing, getiing actionable intelligence.

by AJApr 7, 2020

Excellent course for beginners in manufacturing industry to learn about digital manufacturing & Iot. Clear and effective teaching with real life examples.

by RRJul 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

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Advanced Manufacturing Process Analysis

About this Course