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
Ce cours fait partie de la Spécialisation Digital Manufacturing & Design Technology
Advanced Manufacturing Process Analysis
proposé par
University at Buffalo
The State University of New York
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
1Introduction 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 (Total 27 min), 3 lectures, 3 quiz
5 vidéos
The Data Analysis Process4 min
Data Collection in Different Manufacturing Settings4 min
DMD Dialogue 1: Discrete Part Manufacturing7 min
DMD Dialogue 2: Continuous Manufacturing7 min
3 lectures
Acknowledgements10 min
Resources: Data Analysis: Value and Process10 min
Resources: Manufacturing Settings and Data Collection15 min
3 exercices pour s'entraîner
Self-check10 min
Self-check10 min
Advanced Manufacturing Process Analysis- Week 1 Quiz30 min
Semaine
2Data 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 (Total 17 min), 4 lectures, 5 quiz
4 lectures
Resources: Traditional Data Sets versus Big Data min
Resources: Data Collection15 min
Resources: Data Storage and Organization20 min
Resources: Data Pre-processing25 min
5 exercices pour s'entraîner
Self-check6 min
Self-check4 min
Self-check6 min
Self-check4 min
Advanced Manufacturing Process Analysis- Week 2 Quiz30 min
Semaine
3Data 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 (Total 20 min), 7 lectures, 5 quiz
5 vidéos
Sensitivity Analysis4 min
Anomaly Detection2 min
The Computational Platform3 min
HPC and Cloud Computing5 min
Your 4.0 Roadmap to Success3 min
7 lectures
Resources: Determination of Significant Variables/Factors25 min
Resources: Anomaly Detection30 min
Resources: Computing Platform, Components, Categories, and Capabilities30 min
Resources: High Performance and Cloud Computing25 min
Your 4.0 Roadmap to Success -- Resources10 min
Your Roadmap Project: Step 430 min
Advanced Manufacturing Analysis -- Key Takeaways25 min
5 exercices pour s'entraîner
Self-check6 min
Self-check4 min
Self-check6 min
Self-check4 min
Advanced Manufacturing Process Analysis- Week 3 Quiz30 min
4.2
24 avis33%
a commencé une nouvelle carrière après avoir terminé ces cours
83%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Meilleurs avis
par SC•Oct 30th 2018
I really appreciate the hard work behind this course by faculty , for providing us a profound understanding on the topic Advanced Manufacturing Process Analysis. Thankyou !
par MP•Apr 30th 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.
Enseignant
Rahul Rai
Associate ProfessorMechanical and Aerospace Engineering
À propos de University at Buffalo
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.
À propos de 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.
À propos de la Spécialisation Digital Manufacturing & Design Technology
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
Foire Aux Questions
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