Advanced Manufacturing Process Analysis

Ends tomorrow! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.

Advanced Manufacturing Process Analysis

This course is part of Digital Manufacturing & Design Technology Specialization

Instructor: Rahul Rai

28,669 already enrolled

Included with Learn more

Ask Coursera

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

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.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

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 videosTotal 27 minutes

Introduction to Advanced Manufacturing Process Analysis3 minutes
The Data Analysis Process5 minutes
Data Collection in Different Manufacturing Settings4 minutes
DMD Dialogue 1: Discrete Part Manufacturing8 minutes
DMD Dialogue 2: Continuous Manufacturing8 minutes

3 readingsTotal 35 minutes

Acknowledgements10 minutes
Resources: Data Analysis: Value and Process10 minutes
Resources: Manufacturing Settings and Data Collection15 minutes

3 assignmentsTotal 90 minutes

Advanced Manufacturing Process Analysis- Week 1 Quiz30 minutes
Self-check30 minutes
Self-check30 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 videosTotal 17 minutes

Big Data5 minutes
Data Collection Considerations3 minutes
Data Storage5 minutes
Data Preprocessing4 minutes

4 readingsTotal 120 minutes

Resources: Traditional Data Sets versus Big Data60 minutes
Resources: Data Collection15 minutes
Resources: Data Storage and Organization20 minutes
Resources: Data Pre-processing25 minutes

5 assignmentsTotal 150 minutes

Advanced Manufacturing Process Analysis- Week 2 Quiz30 minutes
Self-check30 minutes
Self-check30 minutes
Self-check30 minutes
Self-check30 minutes

1 discussion promptTotal 15 minutes

Advanced Manufacturing Process Analysis- Week 2 Reflection15 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 videosTotal 20 minutes

Sensitivity Analysis5 minutes
Anomaly Detection2 minutes
The Computational Platform4 minutes
HPC and Cloud Computing6 minutes
Your 4.0 Roadmap to Success3 minutes

7 readingsTotal 175 minutes

Resources: Determination of Significant Variables/Factors25 minutes
Resources: Anomaly Detection30 minutes
Resources: Computing Platform, Components, Categories, and Capabilities30 minutes
Resources: High Performance and Cloud Computing25 minutes
Your 4.0 Roadmap to Success -- Resources10 minutes
Your Roadmap Project: Step 430 minutes
Advanced Manufacturing Analysis -- Key Takeaways25 minutes

5 assignmentsTotal 150 minutes

Advanced Manufacturing Process Analysis- Week 3 Quiz30 minutes
Self-check30 minutes
Self-check30 minutes
Self-check30 minutes
Self-check30 minutes

1 discussion promptTotal 10 minutes

Your 4.0 Roadmap to Success in Digital Manufacturing and Design Technology10 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Rahul Rai

The State University of New York

2 Courses50,651 learners

Offered by

University at Buffalo

The State University of New York

Explore more from Mechanical Engineering

University at Buffalo
Advanced Manufacturing Enterprise
Course
Status: Free Trial
Starweaver
Manufacturing Systems Analysis: A Comprehensive Guide
Course
Category: Preview
University at Buffalo
Digital Manufacturing & Design
Course
Status: Free Trial
University at Buffalo
Digital Thread: Implementation
Course
Status: Free Trial

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.

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.

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.