Advanced Manufacturing Process Analysis

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Advanced Manufacturing Process Analysis

Coursera (CC)
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Opleiderscore: starstarstarstar_halfstar_border 7,2 Coursera (CC) heeft een gemiddelde beoordeling van 7,2 (uit 6 ervaringen)

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Beschrijving

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About 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 thr…

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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About 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,” 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/r-VHiwsg_t0

Who is this class for: This course is for anyone interested in how digital advances are changing the landscape and capabilities of manufacturing, from high school graduates exploring careers to operations managers and business owners hungry for an understanding of the newest manufacturing technologies.

Created by:  University at Buffalo, The State University of New York
  • Taught by:  Rahul Rai, Associate Professor

    Mechanical and Aerospace Engineering
Basic Info Course 4 of 10 in the Digital Manufacturing & Design Technology Specialization Level Beginner Commitment 4 weeks of study, 3 ½ hours per week Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.3 stars Average User Rating 4.3See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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University at Buffalo The University at Buffalo (UB) team includes the School of Engineering and Applied Sciences, the most comprehensive public school of engineering in New York; the Center for Industrial Effectiveness (TCIE), an engineering outreach center that supports the business community; and the Center for Educational Innovation, which elevates pedagogical advancement and improved learning. UB, a research-intensive public university, is the largest institution of the State University of New York system. The State University of New York The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.

Syllabus


WEEK 1


Introduction to Advanced Manufacturing Process Analysis
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.


5 videos, 3 readings, 2 practice quizzes expand


  1. Video: Introduction to Advanced Manufacturing Process Analysis
  2. Reading: Acknowledgements
  3. Video: The Data Analysis Process
  4. Reading: Resources: Data Analysis: Value and Process
  5. Practice Quiz: Self-check
  6. Video: Data Collection in Different Manufacturing Settings
  7. Reading: Resources: Manufacturing Settings and Data Collection
  8. Video: DMD Dialogue 1: Discrete Part Manufacturing
  9. Video: DMD Dialogue 2: Continuous Manufacturing
  10. Practice Quiz: Self-check

Graded: Advanced Manufacturing Process Analysis- Week 1 Quiz

WEEK 2


Data Collection



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.


4 videos, 4 readings, 4 practice quizzes expand


  1. Video: Big Data
  2. Reading: Resources: Traditional Data Sets versus Big Data
  3. Practice Quiz: Self-check
  4. Video: Data Collection Considerations
  5. Reading: Resources: Data Collection
  6. Practice Quiz: Self-check
  7. Video: Data Storage
  8. Reading: Resources: Data Storage and Organization
  9. Practice Quiz: Self-check
  10. Video: Data Preprocessing
  11. Reading: Resources: Data Pre-processing
  12. Practice Quiz: Self-check
  13. Discussion Prompt: Advanced Manufacturing Process Analysis- Week 2 Reflection

Graded: Advanced Manufacturing Process Analysis- Week 2 Quiz

WEEK 3


Data Analysis: Computational Techniques and Platforms



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.


5 videos, 7 readings, 4 practice quizzes expand


  1. Video: Sensitivity Analysis
  2. Reading: Resources: Determination of Significant Variables/Factors
  3. Practice Quiz: Self-check
  4. Video: Anomaly Detection
  5. Reading: Resources: Anomaly Detection
  6. Practice Quiz: Self-check
  7. Video: The Computational Platform
  8. Reading: Resources: Computing Platform, Components, Categories, and Capabilities
  9. Practice Quiz: Self-check
  10. Video: HPC and Cloud Computing
  11. Reading: Resources: High Performance and Cloud Computing
  12. Practice Quiz: Self-check
  13. Video: Your 4.0 Roadmap to Success
  14. Reading: Your 4.0 Roadmap to Success -- Resources
  15. Reading: Your Roadmap Project: Step 4
  16. Discussion Prompt: Your 4.0 Roadmap to Success in Digital Manufacturing and Design Technology
  17. Reading: Advanced Manufacturing Analysis -- Key Takeaways

Graded: Advanced Manufacturing Process Analysis- Week 3 Quiz

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