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
Este curso faz parte do Programa de cursos integrados Digital Manufacturing & Design Technology
Advanced Manufacturing Process Analysis
oferecido por
University at Buffalo
The State University of New York
Programa - O que você aprenderá com este curso
Semana
1Introduction 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 vídeos (total de (Total 27 mín.) min), 3 leituras, 3 testes
5 videos
The Data Analysis Process4min
Data Collection in Different Manufacturing Settings4min
DMD Dialogue 1: Discrete Part Manufacturing7min
DMD Dialogue 2: Continuous Manufacturing7min
3 leituras
Acknowledgements10min
Resources: Data Analysis: Value and Process10min
Resources: Manufacturing Settings and Data Collection15min
3 exercícios práticos
Self-check10min
Self-check10min
Advanced Manufacturing Process Analysis- Week 1 Quiz30min
Semana
2Data 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 vídeos (total de (Total 17 mín.) min), 4 leituras, 5 testes
4 leituras
Resources: Traditional Data Sets versus Big Datas
Resources: Data Collection15min
Resources: Data Storage and Organization20min
Resources: Data Pre-processing25min
5 exercícios práticos
Self-check6min
Self-check4min
Self-check6min
Self-check4min
Advanced Manufacturing Process Analysis- Week 2 Quiz30min
Semana
3Data 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 vídeos (total de (Total 20 mín.) min), 7 leituras, 5 testes
5 videos
Anomaly Detection2min
The Computational Platform3min
HPC and Cloud Computing5min
Your 4.0 Roadmap to Success3min
7 leituras
Resources: Determination of Significant Variables/Factors25min
Resources: Anomaly Detection30min
Resources: Computing Platform, Components, Categories, and Capabilities30min
Resources: High Performance and Cloud Computing25min
Your 4.0 Roadmap to Success -- Resources10min
Your Roadmap Project: Step 430min
Advanced Manufacturing Analysis -- Key Takeaways25min
5 exercícios práticos
Self-check6min
Self-check4min
Self-check6min
Self-check4min
Advanced Manufacturing Process Analysis- Week 3 Quiz30min
33%
comecei uma nova carreira após concluir estes cursos
33%
consegui um benefício significativo de carreira com este curso
Melhores avaliações
por SC•Oct 30th 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 !
por MP•Apr 30th 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.
Instrutores
Rahul Rai
Associate ProfessorMechanical and Aerospace Engineering
Sobre University at 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.
Sobre 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.
Sobre o Programa de cursos integrados 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
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
O Coursera proporciona acesso universal à melhor educação do mundo fazendo parcerias com as melhores universidades e organizações para oferecer cursos on-line.
© 2018 Coursera Inc. Todos os direitos reservados.
