Advanced Manufacturing Process Analysis

开始时间: 04/03/2021 持续时间: Unknown

所在平台: Coursera

课程类别: 其他类别

大学或机构: CourseraNew



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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:

先进的制造过程分析:可变性是制造环境中不可或缺的事实,会影响产品质量和良率。通过本课程,学生将学习为什么对制造过程进行高级分析对于诊断和纠正操作缺陷必不可少,以提高产量和降低成本。 深入了解收集,准备和分析数据的最佳方法,以及可用于在持续时间内收集和处理数据的计算平台。做好更好的准备,可以作为高级分析团队的一员参加会议,并分享有关有效实施的宝贵意见。 本课程的主要概念将通过讲座,阅读,讨论和各种视频提供。 这是数字制造与制造的第四门课程。设计技术专业化探索了制造业“第四次革命”(也称为工业4.0)的各个方面,并且其最终项目涉及创建路线图以实现与DMD相关的自我确立的专业目标。 要了解有关数字制造和设计技术专业的更多信息,请通过复制以下链接并将其粘贴到Web浏览器中来观看概述视频:


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.



Variability is a fact of life in manufacturing environments, impacting product quality and yield. Th