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Rahul Rai
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.
Read more
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.
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/zvyux6/advanced
What's inside
Syllabus
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.
Read more
Syllabus
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.
Read more
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores advanced manufacturing process analysis, which is highly relevant to manufacturing environments
Examines the difference between discrete and continuous manufacturing
Provides computational platforms (HPC, Cloud computing techniques) that exist for carrying out advanced analysis
Helps students to understand the purpose of advanced analysis in the improvement of manufacturing processes
Introduces various analytical techniques, such as Determination of Significant Variables/Factors and Anomaly Detection
Taught by Rahul Rai, who is recognized for their work in manufacturing process analysis
Save this course
Save Advanced Manufacturing Process Analysis to your list so you can find it easily later:
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Reviews summary
Course on advanced manufacturing process analysis
Learners largely agree that this course on Advanced Manufacturing Process Analysis is well-received, with 97% of reviews being 4 or 5 stars. Many learners say that the course is informative, engaging, and provides a good overview of the subject matter. Several learners also commend the instructor for their clear and engaging delivery of the material. Overall, learners highly recommend this course to anyone interested in learning more about Advanced Manufacturing Process Analysis.
Clear and engaging
"Excellent course for beginners in manufacturing industry to learn about digital manufacturing & Iot. Clear and effective teaching with real life examples."
"Very good This course is Designed. Interesting, with good Videos and Good Langues which is very easy to Understand. I really thanks to the Course Instructor Regards"
Informative and engaging
"This course is very informative and gives you a good insight into advanced manufacturing in today's world."
"The course is great and it truly gives us an insight on what Advanced manufacturing process analysis actually is"
"course content and resources are excellent also very nice explanationhelpful for mechanical engineering students to understand importance and insight of big data, high performance cloud computing, digital manufacturing"
"Informative course.Thank you."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Advanced Manufacturing Process Analysis with these
activities:
Review Discrete Manufacturing Concepts
Show steps
This course covers advanced analysis techniques for discrete manufacturing. Reviewing discrete manufacturing concepts can strengthen foundational understanding and enhance comprehension of the course materials.
Show steps
-
Revisit definitions and characteristics of discrete manufacturing
-
Review key concepts such as production planning and inventory management
Read 'Statistical Methods for Quality Assurance'
Show steps
Complement the course materials with a comprehensive and insightful reference book.
View
A Brief Course in Business Statistics
on Amazon
Show steps
-
Read the assigned chapters thoroughly.
-
Take notes and highlight key concepts.
-
Complete the exercises and review the solutions.
Review Engineering Math
Show steps
Review the basics of engineering mathematics, including calculus, linear algebra, and differential equations, to ensure a solid foundation for the course.
Browse courses on
Mathematics
Show steps
-
Review calculus concepts, including derivatives, integrals, and differential equations.
-
Practice solving linear algebra problems, such as matrix operations and vector spaces.
-
Go through differential equations, including techniques for solving ordinary and partial differential equations.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Review Advanced Manufacturing Process Analysis
Show steps
Refresh your understanding of the basic principles of advanced manufacturing process analysis to prepare for this course.
Show steps
-
Review the key concepts of process analysis, including process mapping, data collection, and data analysis.
-
Identify the different types of advanced manufacturing processes and their applications.
-
Study the different techniques used for advanced process analysis, such as statistical process control, design of experiments, and simulation.
-
Practice applying these techniques to real-world manufacturing scenarios.
Go over the basics of statistics
Show steps
Sharpen your statistics skills before taking the course to ensure a strong foundation.
Browse courses on
Statistics
Show steps
-
Review key concepts in probability, such as sample space, events, and probability distributions.
-
Practice solving problems involving discrete distributions, such as binomial and Poisson distributions.
-
Review the concept of continuous distributions, such as normal and exponential distributions, and their applications.
-
Practice hypothesis testing, including setting up null and alternative hypotheses and calculating p-values.
Explore online tutorials
Show steps
Expand your knowledge and skills by exploring additional resources and tutorials.
Browse courses on
Data Science Techniques
Show steps
-
Identify reputable online platforms or instructors offering tutorials on statistical analysis and data science.
-
Choose tutorials that align with your learning goals and interests.
-
Work through the tutorials, taking notes and experimenting with the concepts.
Work through practice problems
Show steps
Reinforce your understanding of statistical concepts by applying them to practical scenarios.
Browse courses on
Statistical Analysis
Show steps
-
Find practice problems online or in textbooks.
-
Solve the problems independently, using statistical techniques.
-
Check your solutions against provided answers or consult with a tutor or instructor for feedback.
Join a study group
Show steps
Enhance your learning experience and gain diverse perspectives by collaborating with peers.
Show steps
-
Reach out to classmates or fellow students to form a study group.
-
Establish a regular meeting schedule and allocate responsibilities.
-
Discuss course materials, share insights, and work on problems together.
Develop a data analysis project
Show steps
Solidify your understanding and apply your skills by creating a data analysis project.
Browse courses on
Data Visualization
Show steps
-
Define a research question or problem to address.
-
Collect and prepare data relevant to your research question.
-
Analyze the data using statistical methods and visualize your findings.
-
Write a report summarizing your analysis and insights.
Contribute to open-source data analysis projects
Show steps
Gain practical experience and enhance your skills by contributing to real-world data analysis projects.
Browse courses on
Data Science
Show steps
-
Identify open-source projects related to data analysis or statistical modeling.
-
Review the project documentation and identify areas where you can contribute.
-
Make code contributions, file bug reports, or provide documentation improvements.
Review Discrete Manufacturing Concepts
Show steps
This course covers advanced analysis techniques for discrete manufacturing. Reviewing discrete manufacturing concepts can strengthen foundational understanding and enhance comprehension of the course materials.
Show steps
Show steps
Show steps
- Revisit definitions and characteristics of discrete manufacturing
- Review key concepts such as production planning and inventory management
Read 'Statistical Methods for Quality Assurance'
Show steps
Complement the course materials with a comprehensive and insightful reference book.
View
A Brief Course in Business Statistics
on Amazon
Show steps
Show steps
Show steps
- Read the assigned chapters thoroughly.
- Take notes and highlight key concepts.
- Complete the exercises and review the solutions.
Review Engineering Math
Show steps
Review the basics of engineering mathematics, including calculus, linear algebra, and differential equations, to ensure a solid foundation for the course.
Browse courses on
Mathematics
Show steps
Show steps
Show steps
- Review calculus concepts, including derivatives, integrals, and differential equations.
- Practice solving linear algebra problems, such as matrix operations and vector spaces.
- Go through differential equations, including techniques for solving ordinary and partial differential equations.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Review Advanced Manufacturing Process Analysis
Show steps
Refresh your understanding of the basic principles of advanced manufacturing process analysis to prepare for this course.
Show steps
Show steps
Show steps
- Review the key concepts of process analysis, including process mapping, data collection, and data analysis.
- Identify the different types of advanced manufacturing processes and their applications.
- Study the different techniques used for advanced process analysis, such as statistical process control, design of experiments, and simulation.
- Practice applying these techniques to real-world manufacturing scenarios.
Go over the basics of statistics
Show steps
Sharpen your statistics skills before taking the course to ensure a strong foundation.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review key concepts in probability, such as sample space, events, and probability distributions.
- Practice solving problems involving discrete distributions, such as binomial and Poisson distributions.
- Review the concept of continuous distributions, such as normal and exponential distributions, and their applications.
- Practice hypothesis testing, including setting up null and alternative hypotheses and calculating p-values.
Explore online tutorials
Show steps
Expand your knowledge and skills by exploring additional resources and tutorials.
Browse courses on
Data Science Techniques
Show steps
Show steps
Show steps
- Identify reputable online platforms or instructors offering tutorials on statistical analysis and data science.
- Choose tutorials that align with your learning goals and interests.
- Work through the tutorials, taking notes and experimenting with the concepts.
Work through practice problems
Show steps
Reinforce your understanding of statistical concepts by applying them to practical scenarios.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Solve the problems independently, using statistical techniques.
- Check your solutions against provided answers or consult with a tutor or instructor for feedback.
Join a study group
Show steps
Enhance your learning experience and gain diverse perspectives by collaborating with peers.
Show steps
Show steps
Show steps
- Reach out to classmates or fellow students to form a study group.
- Establish a regular meeting schedule and allocate responsibilities.
- Discuss course materials, share insights, and work on problems together.
Develop a data analysis project
Show steps
Solidify your understanding and apply your skills by creating a data analysis project.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Define a research question or problem to address.
- Collect and prepare data relevant to your research question.
- Analyze the data using statistical methods and visualize your findings.
- Write a report summarizing your analysis and insights.
Contribute to open-source data analysis projects
Show steps
Gain practical experience and enhance your skills by contributing to real-world data analysis projects.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify open-source projects related to data analysis or statistical modeling.
- Review the project documentation and identify areas where you can contribute.
- Make code contributions, file bug reports, or provide documentation improvements.
Career center
Learners who complete Advanced Manufacturing Process Analysis will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists analyze data to extract insights and make predictions. They use various techniques, such as machine learning and statistical analysis, to identify trends and patterns. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Data Scientist by providing you with a strong foundation in data collection, analysis, and visualization.
Process Engineer
Process Engineer
Process Engineers design, develop, and improve processes in a variety of industries, including manufacturing, healthcare, and finance. They use their knowledge of engineering principles to optimize efficiency and quality. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Process Engineer by providing you with a strong foundation in process analysis and improvement techniques.
Manufacturing Engineer
Manufacturing Engineer
Manufacturing Engineers design, develop, and improve manufacturing processes. They use their knowledge of engineering principles to optimize production efficiency and quality. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Manufacturing Engineer by providing you with a deep understanding of manufacturing processes and how to analyze and improve them.
Quality Engineer
Quality Engineer
Quality Engineers ensure that products and services meet customer requirements. They use their knowledge of quality control principles to identify and eliminate defects. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Quality Engineer by providing you with a deep understanding of quality control techniques and how to apply them in a manufacturing environment.
Industrial Engineer
Industrial Engineer
Industrial Engineers design, improve, and install integrated systems for managing industrial operations. They use their knowledge of engineering principles to optimize efficiency and productivity. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Industrial Engineer by providing you with a deep understanding of manufacturing processes and how to analyze and improve them.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of industries, including manufacturing, healthcare, and finance. They use their skills to improve efficiency and optimize decision-making. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Operations Research Analyst by providing you with a strong foundation in data analysis and optimization techniques.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to identify trends and patterns. They use their skills to help businesses make better decisions. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Data Analyst by providing you with a strong foundation in data analysis and visualization techniques.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems by analyzing data and developing solutions. They use their skills to help businesses improve efficiency and profitability. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Business Analyst by providing you with a strong foundation in data analysis and problem-solving techniques.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to make informed decisions. They use their skills to help businesses, governments, and other organizations make better decisions. The Advanced Manufacturing Process Analysis course can help you develop the skills needed to become a successful Statistician by providing you with a strong foundation in statistical analysis and data interpretation techniques.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their skills to create software that meets the needs of businesses and consumers. The Advanced Manufacturing Process Analysis course may be useful for Software Engineers who want to develop software applications for the manufacturing industry.
Computer Programmer
Computer Programmer
Computer Programmers write and maintain computer code. They use their skills to create software that meets the needs of businesses and consumers. The Advanced Manufacturing Process Analysis course may be useful for Computer Programmers who want to develop software applications for the manufacturing industry.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They use their skills to ensure that data is stored securely and efficiently. The Advanced Manufacturing Process Analysis course may be useful for Database Administrators who want to work in the manufacturing industry.
Network Administrator
Network Administrator
Network Administrators manage and maintain computer networks. They use their skills to ensure that networks are running smoothly and securely. The Advanced Manufacturing Process Analysis course may be useful for Network Administrators who want to work in the manufacturing industry.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. They use their skills to create systems that meet the needs of businesses and consumers. The Advanced Manufacturing Process Analysis course may be useful for Systems Analysts who want to develop computer systems for the manufacturing industry.
Web Developer
Web Developer
Web Developers design and develop websites. They use their skills to create websites that are user-friendly and informative. The Advanced Manufacturing Process Analysis course may be useful for Web Developers who want to develop websites for the manufacturing industry.
For more career information including salaries, visit:
OpenCourser.com/course/zvyux6/advanced
Reading list
We've selected 15 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Advanced Manufacturing Process Analysis.
Introduction to the fundamental statistical concepts commonly used in manufacturing process improvement.
Provides valuable insights into how to use data analytics and machine learning techniques for manufacturing process improvement.
A comprehensive resource on statistical and management methods for process analysis and improvement.
A widely used textbook on statistical quality control, providing a solid foundation in the concepts and techniques used in manufacturing.
Save
A practical guide to the Lean Six Sigma methodology, offering quick access to key concepts and tools.
A comprehensive reference on manufacturing engineering technologies, processes, and materials.
A classic textbook on production and operations management, covering key concepts and practices in manufacturing.
Provides a practical understanding of manufacturing processes and their impact on design decisions.
A comprehensive reference for quality engineers, covering the principles and practices of quality management.
A practical guide to quality management tools and techniques, with a focus on continuous improvement.
A resource on statistical techniques for quality control and process improvement, particularly useful for those with a background in statistics.
A practical guide to using statistics for manufacturing process improvement, with a focus on real-world examples.
A comprehensive textbook on statistical process control, providing a thorough introduction to the subject.
A comprehensive reference on quality engineering, covering principles, techniques, and case studies.
A comprehensive reference on manufacturing processes, with detailed descriptions of various techniques and materials.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zvyux6/advanced
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Level
Introductory
Via
Coursera
Institutions
The State University of New York
University at Buffalo
Instructor
Rahul Rai
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
Nederlands
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اُردُو,
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tiếng Việt
پښتو
آذربایجان دیلی
This course belongs to a
collection
called
Digital Manufacturing & Design Technology . It's comprised of nine courses:
- MBSE: Model-Based Systems Engineering
- Digital Thread: Implementation
- Digital Thread: Components
- Intelligent Machining
- Advanced Manufacturing Process Analysis (viewing)
- Cyber Security in Manufacturing
- Advanced Manufacturing Enterprise
- Digital Manufacturing & Design
- Roadmap to Success in Digital Manufacturing & Design
Good to know
Explores advanced manufacturing process analysis, which is highly relevant to manufacturing environments
Examines the difference between discrete and continuous manufacturing
Provides computational platforms (HPC, Cloud computing techniques) that exist for carrying out advanced analysis
Helps students to understand the purpose of advanced analysis in the improvement of manufacturing processes
Introduces various analytical techniques, such as Determination of Significant Variables/Factors and Anomaly Detection
Taught by Rahul Rai, who is recognized for their work in manufacturing process analysis
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