Informações sobre o curso: 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
Para quem é direcionado este curso: 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.
Desenvolvido por: University at Buffalo, The State University of New York
Ministrado por: Rahul Rai, Associate Professor
Mechanical and Aerospace Engineering
| Informações básicas | Curso 4 de 9 no Digital Manufacturing & Design Technology Specialization |
| Nível | Beginner |
| Compromisso | 4 weeks of study, 3 ½ hours per week |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 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
- 阅读: Acknowledgements
- Vídeo: The Data Analysis Process
- 阅读: Resources: Data Analysis: Value and Process
- 练习测验: Self-check
- Vídeo: Data Collection in Different Manufacturing Settings
- 阅读: Resources: Manufacturing Settings and Data Collection
- Vídeo: DMD Dialogue 1: Discrete Part Manufacturing
- Vídeo: DMD Dialogue 2: Continuous Manufacturing
- 练习测验: Self-check
Nota atribuída: Advanced Manufacturing Process Analysis- Week 1 Quiz
SEMANA 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
- 阅读: Resources: Traditional Data Sets versus Big Data
- 练习测验: Self-check
- Vídeo: Data Collection Considerations
- 阅读: Resources: Data Collection
- 练习测验: Self-check
- Vídeo: Data Storage
- 阅读: Resources: Data Storage and Organization
- 练习测验: Self-check
- Vídeo: Data Preprocessing
- 阅读: Resources: Data Pre-processing
- 练习测验: Self-check
- 讨论提示: Advanced Manufacturing Process Analysis- Week 2 Reflection
Nota atribuída: Advanced Manufacturing Process Analysis- Week 2 Quiz
SEMANA 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
- 阅读: Resources: Determination of Significant Variables/Factors
- 练习测验: Self-check
- Vídeo: Anomaly Detection
- 阅读: Resources: Anomaly Detection
- 练习测验: Self-check
- Vídeo: The Computational Platform
- 阅读: Resources: Computing Platform, Components, Categories, and Capabilities
- 练习测验: Self-check
- Vídeo: HPC and Cloud Computing
- 阅读: Resources: High Performance and Cloud Computing
- 练习测验: Self-check
- Vídeo: Your 4.0 Roadmap to Success
- 阅读: Your 4.0 Roadmap to Success -- Resources
- 阅读: Your Roadmap Project: Step 4
- 讨论提示: Your 4.0 Roadmap to Success in Digital Manufacturing and Design Technology
- 阅读: Advanced Manufacturing Analysis -- Key Takeaways
Nota atribuída: Advanced Manufacturing Process Analysis- Week 3 Quiz
Perguntas frequentes
Como funciona
课程作业
每门课程都像是一本互动的教科书，具有预先录制的视频、测验和项目。
来自同学的帮助
与其他成千上万的学生相联系，对想法进行辩论，讨论课程材料，并寻求帮助来掌握概念。
证书
获得正式认证的作业，并与朋友、同事和雇主分享您的成功。
Desenvolvedores
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
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