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
제공자:
강의 계획 - 이 강좌에서 배울 내용
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.
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.
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.
14%
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Advanced Manufacturing Process Analysis의 최상위 리뷰
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.
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.
강사
Rahul Rai
Associate Professor뉴욕주립대학교 버펄로 캠퍼스 정보
뉴욕주립대학교 정보
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