ONLINE COURSE
Smart Manufacturing:
Why enroll in this course?
Draw on MIT's more than 100 years of university-industry collaboration to learn how sensors, software, and systems can create a smart enterprise at any scale.
Experience the revolution in smart manufacturing as Dr. Brian W. Anthony and his team of MIT researchers continuously upgrade FrED, an intelligent machine built by MIT experts, with cutting-edge advancements in software and hardware.
Acquire smart technology strategies to stay at the forefront of the industry, including modeling, manufacturing systems, sensors, and advanced data analytics.
Engage in two live sessions with MIT instructors, and up to eight live sessions with learning facilitators, industry experts, and peers.
Networking opportunities establish professional connections with industry experts and your cohort.
Access to rich supplementary resources provides additional materials and content for a more thorough educational journey.
Certificate
All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as Continuing Education Units (CEUs)*.
To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
*The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program. To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.
Course outline
Unite new technologies, such as machine learning, the Internet of Things, and data analysis, resulting in comprehending the transformation process currently happening in the manufacturing sector. Discover the latest trends and problem resolution methods with smart manufacturing and learn how to apply these skills to your organization.
Global Trends in Manufacturing
Data and Its Significance in the Modern World
Smart Manufacturing: Empowering the Future of Production
Fiber Extrusion Device (FrED): Redefining Smart Manufacturing
Time Series Analysis: Unraveling Dynamics Over Time
Relationships in Time Series Plots: Unraveling Connections in FrED's Data
Moving Average
Investigating Periodicity
Visualization Tools
Extracting Periodicities Using Sine and Cosine Waves
Matching Signals and Frequency Representations
Data Visualization Tools
Exploring the Blocks on FrED
Speed of Response between Inputs and Outputs of FrED
Modeling Process of FrED
Connecting the Blocks
Making Sense of FrED's Data Using a Physical Model
Missing Elements in FrED's Model
Improving FrED
Summarizing FrED's Model
Introduction to FrED's Sensors
Selecting a Sensor for FrED
Characteristics of Sensors
Time and Amplitude Discretization
Flow and Variation
Manufacturing Goals for Process Control
Simplifying the Block Diagrams
Models and Feedback Control
Control System Design
Impulse Response and Step Response
Modeling FrED I
Dynamic Response
Comparing Predicted and Actual Dynamics of FrED
Machine Vision and Motion Analysis
Images and Videos as Matrices
Pre-processing Images Using Histogram
Edge Detection
Image Filtering
Image Smoothing and Sharpening
Image Simplification by Morphological Operations
Image Interpretation
Image as a Measurement Tool
Using Cameras in the Manufacturing Environment
Manufacturing Techniques Applied to Sport.
Cameras in Industrial Application
Smart Manufacturing Applied to Medicine
Fiber Deflection Measurement
Sensitivity Analysis and Model Fitting
Least Squares Approach
Model Fitting: An Overview
Applying Model Fitting and Sensitivity Analysis to Production
Model Fitting: A Recap
Statistics and Data
Sampling Measurement Error
Histograms and Data Distributions
Statistical Quality Control
Process Capability of FrED
Control Chart
Patterns in Control Charts
Control Charts on FrED
Correlation Coefficient
Cross-correlation Function
Cross-correlation Analysis
Data Production: Visual Analysis
Machine Learning Data Methods
FrED’s Digital Twin
Smart Manufacturing: Tying It All Together
Who is this online course for?
Plant, production and operations managers who work in the manufacturing sector.
Data scientists who want to put their capabilities into practice in the field of smart manufacturing.
Design and manufacturing engineers who are looking to learn about data and development models in the manufacturing sector.
Consultants whose objective is to put additional value on the latest innovative technology in the manufacturing sector.
Instructor
Director of the MIT Master of Engineering in Advanced Manufacturing and Design. Associate Director, MIT.nano
MIT Professional Education in Numbers
+60K
+155
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