Об этом курсе: 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
Для кого этот курс: 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.
Преподаватели: Rahul Rai, Associate Professor
Mechanical and Aerospace Engineering
| Основные сведения | Course 4 of 9 in the Digital Manufacturing & Design Technology Specialization |
| Уровень | Beginner |
| Выполнение | 4 weeks of study, 3 ½ hours per week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Reading: Acknowledgements
- Видео: The Data Analysis Process
- Reading: Resources: Data Analysis: Value and Process
- Practice Quiz: Self-check
- Видео: Data Collection in Different Manufacturing Settings
- Reading: Resources: Manufacturing Settings and Data Collection
- Видео: DMD Dialogue 1: Discrete Part Manufacturing
- Видео: DMD Dialogue 2: Continuous Manufacturing
- Practice Quiz: Self-check
- Reading: Resources: Traditional Data Sets versus Big Data
- Practice Quiz: Self-check
- Видео: Data Collection Considerations
- Reading: Resources: Data Collection
- Practice Quiz: Self-check
- Видео: Data Storage
- Reading: Resources: Data Storage and Organization
- Practice Quiz: Self-check
- Видео: Data Preprocessing
- Reading: Resources: Data Pre-processing
- Practice Quiz: Self-check
- Discussion Prompt: Advanced Manufacturing Process Analysis- Week 2 Reflection
- Reading: Resources: Determination of Significant Variables/Factors
- Practice Quiz: Self-check
- Видео: Anomaly Detection
- Reading: Resources: Anomaly Detection
- Practice Quiz: Self-check
- Видео: The Computational Platform
- Reading: Resources: Computing Platform, Components, Categories, and Capabilities
- Practice Quiz: Self-check
- Видео: HPC and Cloud Computing
- Reading: Resources: High Performance and Cloud Computing
- Practice Quiz: Self-check
- Видео: Your 4.0 Roadmap to Success
- Reading: Your 4.0 Roadmap to Success -- Resources
- Reading: Your Roadmap Project: Step 4
- Discussion Prompt: Your 4.0 Roadmap to Success in Digital Manufacturing and Design Technology
- Reading: Advanced Manufacturing Analysis -- Key Takeaways
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Data is vital to a successful project in Digital Manufacturing. Dealing with the classification and the large volume of data generated by the various sensors is the central focus of this course.
The deeper I go with the specialization the more interesting it gets. Frankly, it's a great specialization program and the Advanced Manufacturing Analysis give you an in debt knowledge of the topic.
A must for mechanical and industrial engineers and technicians
Lectures were a little dry, but great resources. Provides a "high-level" overview of what data analysis entails and how it is used.
Good course