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factory manufacturing

Smart Manufacturing 101

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Course Description

Course Summary:

Smart Manufacturing 101 is an introductory course in Smart Manufacturing. The course begins with a discussion on the current digital transformations in manufacturing processes including Additive Manufacturing. It further delves deeper into the evolution of cyber-physical systems,the central core of Industrie 4.0. The infrastructure components of Industrie 4.0 are addressed primarily from a user perspective by describing the relevance of the IT/OT convergence to realize data driven manufacturing. The course explains how the dynamically evolving operational data can be securely stored in the cloud for the purposes of strategic decision making via online machine learning, and/or for making tactical decisions via human/machine collaboration in the operational floor and/or for localized self-organizing automated decisionmaking by the machines and things.

Course Pre-requisites:

Undergraduate degree in Engineering.
Knowledge of manufacturing will be an asset.
Knowledge of information technology will be an asset.

Course Outline:

Module 1:
What is “smart manufacturing”?

  • Definition of “Smart Manufacturing”
  • Differences between Conventional manufacturing and Smart Manufacturing
  • Overall landscape of SM
    • Digital Manufacturing
    • Industrie 4.0
    • Connected Smart Factories
  • Example Cases
  • Quiz 1

Module 2:
Introduction to Digital Manufacturing

  • Evolution from CIM, DFM, Flexible and Lean
    • Digital Thread
    • Removal of Silos
  • PLM and Shop floor integration
    • 3D Modeling and Simulation
    • Active Design Optimization
    • 3D Visualization of Manufacturing, Tooling,resources
  • Quiz 2

Module 3:
Additive Manufacturing

  • Additive Manufacturing
    • Principle
    • Processes
    • Complexity
    • Examples
  • Quiz 3

Module 4:
Introduction to Industrie 4.0

  • Definition of Cyber-Physical Systems
    Integration of Computation, Networking and Physical Processes
    Digital Twin
    Synchronization of Material Flow and Information Flow

    • Design
    • Planning
    • Scheduling & Inventory
    • Production
    • Quality
    • Maintenance
    • Shipping
  • Quiz 4

Module 5:
IT/OT Convergence

  • Big Data driven Manufacturing
  • Purpose of Data
    • Operational Adaptation
    • Tactical Planning
    • Strategic Planning
  • Data Acquisition – Active Sensory Networks
    • IIOT sensors
    • Industrial Internet
    • Wireless sensor networks
    • Mobile
  • Quiz 5
  • Control -Active feedback loops/Model based/Adaptive
  • “Self-aware” (self diagnosis, self adaptation and self-correction)
  • Operations Technology – Historian/SCADA/MES/MOM
  • Quiz 6
  • Machine to Machine Communications (MQTT)
  • Edge Computing Devices
  • Smart Cloud
    • Hyperscale Computing
    • Distributed Processing (Hadoop Cluster)
  • Quiz 7
  • Intelligence – Machine Intelligence based Supervised and Unsupervised Learning
    • Evolutionary Learning
    • Analytical Platforms
  • Quiz 8


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