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
Ce cours fait partie de la Spécialisation Digital Manufacturing & Design Technology
Advanced Manufacturing Process Analysis
proposé par
Université de Buffalo
Université d'État de New York
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
12 heures pour terminer
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 vidéos (Total 27 min), 3 lectures, 3 quiz
5 vidéos
The Data Analysis Process4 min
Data Collection in Different Manufacturing Settings4 min
DMD Dialogue 1: Discrete Part Manufacturing7 min
DMD Dialogue 2: Continuous Manufacturing7 min
3 lectures
Acknowledgements10 min
Resources: Data Analysis: Value and Process10 min
Resources: Manufacturing Settings and Data Collection15 min
3 exercices pour s'entraîner
Self-check10 min
Self-check10 min
Advanced Manufacturing Process Analysis- Week 1 Quiz30 min
Semaine
23 heures pour terminer
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 vidéos (Total 17 min), 4 lectures, 5 quiz
4 lectures
Resources: Traditional Data Sets versus Big Datas
Resources: Data Collection15 min
Resources: Data Storage and Organization20 min
Resources: Data Pre-processing25 min
5 exercices pour s'entraîner
Self-check6 min
Self-check4 min
Self-check6 min
Self-check4 min
Advanced Manufacturing Process Analysis- Week 2 Quiz30 min
Semaine
34 heures pour terminer
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 vidéos (Total 20 min), 7 lectures, 5 quiz
5 vidéos
Sensitivity Analysis4 min
Anomaly Detection2 min
The Computational Platform3 min
HPC and Cloud Computing5 min
Your 4.0 Roadmap to Success3 min
7 lectures
Resources: Determination of Significant Variables/Factors25 min
Resources: Anomaly Detection30 min
Resources: Computing Platform, Components, Categories, and Capabilities30 min
Resources: High Performance and Cloud Computing25 min
Your 4.0 Roadmap to Success -- Resources10 min
Your Roadmap Project: Step 430 min
Advanced Manufacturing Analysis -- Key Takeaways25 min
5 exercices pour s'entraîner
Self-check6 min
Self-check4 min
Self-check6 min
Self-check4 min
Advanced Manufacturing Process Analysis- Week 3 Quiz30 min
4.3
42 avis20%
a commencé une nouvelle carrière après avoir terminé ces cours
20%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Meilleurs avis
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.
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.
Enseignant
Rahul Rai
Associate ProfessorMechanical and Aerospace Engineering
À propos de Université de Buffalo
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.
À propos de Université d'État de 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.
À propos de la Spécialisation Digital Manufacturing & Design Technology
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
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
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