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
本課程是 Digital Manufacturing & Design Technology 專項課程 專項課程的一部分
Advanced Manufacturing Process Analysis
提供方
纽约州立大学布法罗分校
纽约州立大学纽约州立大学
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
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 個視頻 （總計 27 分鐘）, 3 個閱讀材料, 3 個測驗
5 個視頻
The Data Analysis Process4分鐘
Data Collection in Different Manufacturing Settings4分鐘
DMD Dialogue 1: Discrete Part Manufacturing7分鐘
DMD Dialogue 2: Continuous Manufacturing7分鐘
3 個閱讀材料
Acknowledgements10分鐘
Resources: Data Analysis: Value and Process10分鐘
Resources: Manufacturing Settings and Data Collection15分鐘
3 個練習
Self-check10分鐘
Self-check10分鐘
Advanced Manufacturing Process Analysis- Week 1 Quiz30分鐘
週
2完成時間為 3 小時
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 個視頻 （總計 17 分鐘）, 4 個閱讀材料, 5 個測驗
4 個閱讀材料
Resources: Traditional Data Sets versus Big Data
Resources: Data Collection15分鐘
Resources: Data Storage and Organization20分鐘
Resources: Data Pre-processing25分鐘
5 個練習
Self-check6分鐘
Self-check4分鐘
Self-check6分鐘
Self-check4分鐘
Advanced Manufacturing Process Analysis- Week 2 Quiz30分鐘
週
3完成時間為 4 小時
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 個視頻 （總計 20 分鐘）, 7 個閱讀材料, 5 個測驗
5 個視頻
Anomaly Detection2分鐘
The Computational Platform3分鐘
HPC and Cloud Computing5分鐘
Your 4.0 Roadmap to Success3分鐘
7 個閱讀材料
Resources: Determination of Significant Variables/Factors25分鐘
Resources: Anomaly Detection30分鐘
Resources: Computing Platform, Components, Categories, and Capabilities30分鐘
Resources: High Performance and Cloud Computing25分鐘
Your 4.0 Roadmap to Success -- Resources10分鐘
Your Roadmap Project: Step 430分鐘
Advanced Manufacturing Analysis -- Key Takeaways25分鐘
5 個練習
Self-check6分鐘
Self-check4分鐘
Self-check6分鐘
Self-check4分鐘
Advanced Manufacturing Process Analysis- Week 3 Quiz30分鐘
4.3
42 個審閱20%
完成這些課程後已開始新的職業生涯
20%
通過此課程獲得實實在在的工作福利
熱門審閱
Thank you for the training course. This course will be very helpful in analyzing & improving stamping process in Press shop, that will help us to deliver superior quality product to our customer.
This 4 week course of Advance Manufacturing Process Analysis is wonderful and recommendable to all. Content is very good and easy to understand. It helps in my current role as well.
講師
Rahul Rai
Associate ProfessorMechanical and Aerospace Engineering
關於 纽约州立大学布法罗分校
The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs.
關於 纽约州立大学纽约州立大学
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.
關於 Digital Manufacturing & Design Technology 專項課程
Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. 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
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