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.
이 강좌는 Digital Manufacturing & Design Technology 전문 분야의 일부입니다.
Advanced Manufacturing Process Analysis
제공자:
뉴욕주립대학교 버펄로 캠퍼스
뉴욕주립대학교
About this Course
최근 조회 11,496회
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학습자 경력 결과
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이 강좌를 수료한 후 새로운 경력 시작하기
14%
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공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 9개 강좌 중 4번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 5시간 필요
영어
자막: 영어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 2시간 필요
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.
완료하는 데 2시간 필요
5개 동영상 (총 27분), 3 readings, 3 quizzes
5개의 동영상
The Data Analysis Process4m
Data Collection in Different Manufacturing Settings4m
DMD Dialogue 1: Discrete Part Manufacturing7m
DMD Dialogue 2: Continuous Manufacturing7m
3개의 읽기 자료
Acknowledgements10m
Resources: Data Analysis: Value and Process10m
Resources: Manufacturing Settings and Data Collection15m
3개 연습문제
Self-check10m
Self-check10m
Advanced Manufacturing Process Analysis- Week 1 Quiz30m
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
4개 동영상 (총 17분), 4 readings, 5 quizzes
4개의 읽기 자료
Resources: Traditional Data Sets versus Big Data1h
Resources: Data Collection15m
Resources: Data Storage and Organization20m
Resources: Data Pre-processing25m
5개 연습문제
Self-check6m
Self-check4m
Self-check6m
Self-check4m
Advanced Manufacturing Process Analysis- Week 2 Quiz30m
완료하는 데 4시간 필요
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.
완료하는 데 4시간 필요
5개 동영상 (총 20분), 7 readings, 5 quizzes
5개의 동영상
Anomaly Detection2m
The Computational Platform3m
HPC and Cloud Computing5m
Your 4.0 Roadmap to Success3m
7개의 읽기 자료
Resources: Determination of Significant Variables/Factors25m
Resources: Anomaly Detection30m
Resources: Computing Platform, Components, Categories, and Capabilities30m
Resources: High Performance and Cloud Computing25m
Your 4.0 Roadmap to Success -- Resources10m
Your Roadmap Project: Step 430m
Advanced Manufacturing Analysis -- Key Takeaways25m
5개 연습문제
Self-check6m
Self-check4m
Self-check6m
Self-check4m
Advanced Manufacturing Process Analysis- Week 3 Quiz30m
검토
4.4
ADVANCED MANUFACTURING PROCESS ANALYSIS의 최상위 리뷰
KS 제공Jan 4, 2019
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.
WT 제공May 1, 2018
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.
YS 제공Jan 24, 2019
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.
SC 제공Oct 29, 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 !
MP 제공Apr 29, 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.
SV 제공Jan 3, 2019
Course structure has been built in right manner for improving the method of data collection, storage, analysis, information and decision making.
GS 제공Jan 13, 2019
Using Advanced Manufacturing Technology (AMT) has a lot of benefit that can positively affect the competitive advantages for organizations.
DC 제공Jan 8, 2018
Lectures were a little dry, but great resources. Provides a "high-level" overview of what data analysis entails and how it is used.
BK 제공Jul 13, 2017
Greatly useful for a rookie who wants to earn knowledge on the advanced manufacturing processes which include latest technologies.
OL 제공Aug 24, 2019
Course provides needed information in easy manner. Additional resources are interesting and enhancing course material.
JC 제공May 13, 2017
Very interesting, and difficult!\n\nData analysis is rocket science for me, but I will make my best effort.
SN 제공Jan 4, 2020
The course is well structured and best fit for beginners in manufacturing.y
NK 제공Jun 25, 2019
this course is very useful for the daily work life and our daily activity
AV 제공Jul 4, 2019
Excellent materials and explanation in a short and crunchy manner!
JY 제공Feb 27, 2017
Good coverage of multiple topics.\n\nVery basic level overview
SS 제공Jul 21, 2017
Innovative lecture plan and content rich very Impressive
LS 제공Jan 18, 2019
The best online course with lots of videos and contents.
뉴욕주립대학교 버펄로 캠퍼스 정보
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.
뉴욕주립대학교 정보
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.
Digital Manufacturing & Design Technology 전문 분야 정보
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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