Smart Manufacturing Introduction, Smart Manufacturing in the context of Additive Manufacturing, Data Analytics and AI, Human-machine interaction, augmentation, Smart Digital Supply Chain, Executing a Smart Manufacturing Pilot Project.

Professionals with a technical background and/or education in engineering, manufacturing, and data/information technologies.

With this credential, learners will establish a foundational understanding of Smart Manufacturing, from the core underlying technologies to its impact on an organization and its people. Intended for anyone in a manufacturing company seeking to understand how modern technologies are being applied to drive value for the business. This credential will help define Smart Manufacturing in terms that can be translated into operational business value.

• Senior leaders in plant management and operations roles are responsible for business decisions and the financial bottom line.
• Design and manufacturing engineers seeking to learn about data and modeling in a manufacturing environment.
• Production plant supervisors and managers who are responsible for data flow, capture, storage and system modification for greater process flows and production improvements.
• Junior level operations and line specialists who are committed to a career in manufacturing and having a greater understanding of the changes in the future of the industry.
• Consultants who want to add value around the latest technology transformations in manufacturing.

Examples of current Smart Manufacturing practices.  Application of critical thinking, communication, problem solving, ideation, and teamwork. Quality principles including planning, assurance, control, and improvement. Data analysis and visualization for decision making. Examples in digital lean manufacturing, digital design tools, and basics of digital twins.

Individuals looking to enter the manufacturing field with little to no current experience in traditional or digital manufacturing or those who are looking to grow, strengthen or refresh fundamental future-ready skills needed to be competitive in the field.

Understanding of smart/digital manufacturing from design to operational management to be competitive in the field. Skills in computer-aided processes in smart manufacturing operations including sensor technology, data collection, visualization, and analytics on the factory floor. Modules include:

• Digital Devices and Automation
• Robotics and Physical Automation
• Digital Controls and Data Management
• Manufacturing Operations Management

These programs are for those seeking to enhance their knowledge in smart/digital manufacturing including positions such as production workers, plant supervisors, machinists, machine operators, technicians, manufacturing engineers or manufacturing support roles.

Smart Manufacturing Essentials. Industrial Internet of Things. Data Analytics and Machine Learning. Digital Twin Development and Implementation.

Professionals with a technical background and/or education in engineering, manufacturing, and data/information technologies.

Introduction to Smart Manufacturing; Using sensors in FrED extrusion machine for Data Capture, Visualization, Analysis, and Modeling; Control of Manufacturing Processes; Machine Vision and manufacturing applications; Model Fitting and Sensitivity Analysis; Statistical Process Control; Advanced Data Analytics

Plant managers working in manufacturing. Design and manufacturing engineers seeking to learn about data and modeling in a manufacturing environment. Data scientists looking to apply their craft to the growing field of smart manufacturing.

Smart Manufacturing Introduction. Streaming Data from Device to the Cloud.  Smart Factory Floor OT/ITSystem. Machine Vision for Quality Inspection.

Any graduate student in Engineering can take this class.

This course covers the Smart Manufacturing definition, characteristics and principles. An overview of the Industrial Internet of things software stack and a specific focus on the MQTT protocol. The course also demonstrates a hands-on-guided activity on implementing MQTT with Node-Red and MQTT with Python using the Python library – Paho-Mqtt library.

Engineers who are interested in learning MQTT Protocol and the SparkPlug Specification that enables a core data infrastructure required for Smart Manufacturing implementation.

Work with an expert mentor to learn how to develop a technology-enabled strategic roadmap. Assess your organization’s current state across six critical manufacturing areas: strategy, culture, processes, systems, workforce, and supply chain. Develop a future vision and build a roadmap that aligns your business objectives to smart manufacturing capabilities.

Manufacturing leaders and innovation champions who seek to initiate digital transformation in their organization. Team participation encouraged.

Smart Manufacturing Introduction. Data Collection Fundamentals, Cybersecurity, How Smart Manufacturing is related to Business Strategy, the convergence of IT and OT, IIoT, Big Data, Digital Thread, Digital Twin, Analytics, AI/Machine Learning, Workforce Augmentation, Digital Lean, Continuous Improvement and Digital Supply Chain.

Professionals with a general background in manufacturing and information technologies.