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	4.2 stars Average User Rating 4.2See what learners said

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

Video: Introduction to Advanced Manufacturing Process Analysis
阅读: Acknowledgements
Video: The Data Analysis Process
阅读: Resources: Data Analysis: Value and Process
练习测验: Self-check
Video: Data Collection in Different Manufacturing Settings
阅读: Resources: Manufacturing Settings and Data Collection
Video: DMD Dialogue 1: Discrete Part Manufacturing
Video: DMD Dialogue 2: Continuous Manufacturing
练习测验: 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

Video: Big Data
阅读: Resources: Traditional Data Sets versus Big Data
练习测验: Self-check
Video: Data Collection Considerations
阅读: Resources: Data Collection
练习测验: Self-check
Video: Data Storage
阅读: Resources: Data Storage and Organization
练习测验: Self-check
Video: 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

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

Video: Sensitivity Analysis
阅读: Resources: Determination of Significant Variables/Factors
练习测验: Self-check
Video: Anomaly Detection
阅读: Resources: Anomaly Detection
练习测验: Self-check
Video: The Computational Platform
阅读: Resources: Computing Platform, Components, Categories, and Capabilities
练习测验: Self-check
Video: HPC and Cloud Computing
阅读: Resources: High Performance and Cloud Computing
练习测验: Self-check
Video: 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

Graded: Advanced Manufacturing Process Analysis- Week 3 Quiz

FAQs

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How It Works

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。

Creators

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.

Pricing

	购买课程	旁听
访问课程材料	Available	Available
访问评分的材料	Available	Not available
收到最终成绩	Available	Not available
获得可共享的课程证书	Available	Not available

Ratings and Reviews

Rated 4.2 out of 5 of 30 ratings

Innovative lecture plan and content rich very Impressive

Greatly useful for a rookie who wants to earn knowledge on the advanced manufacturing processes which include latest technologies.

Very interesting, and difficult!

Data analysis is rocket science for me, but I will make my best effort.

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.