상상력집단
Smart factory fundamentals

Manufacturing AI training

Smart factory fundamentals

From what a smart factory actually is to a rollout roadmap you can act on. One day on connecting IoT, AI, and big data across the plant.

What is a smart factory?

A smart factory is a digital manufacturing environment where design, production, and logistics run on IoT, AI, and big data, automated and intelligent enough to operate on their own. The core shift is replacing manual plant processes with decisions made from data.

Operations run on data

Sensor, MES, and ERP feeds are linked in real time, so the floor is measured in numbers and problems get answered immediately.

Step-by-step adoption

A level 1 to 5 maturity model tells you where you stand today, so investment is spread out instead of committed all at once.

OT and IT joined up

Plant control networks (OT) and information systems (IT) connect over OPC-UA and MQTT, which is what breaks the data silos.

What you'll learn

The core material this course covers.

  • The smart factory maturity model (levels 1 to 5) and how to assess your plant
  • IoT sensor data collection architecture (OPC-UA, MQTT)
  • How MES, ERP, and SCADA fit together
  • AI-driven process automation workflows
  • Linking AI design optimization to productivity
  • Using government smart factory support programs

Curriculum

What we cover

  1. 1

    Smart factory overview and adoption in Korea

    Work through the definition of each maturity level and adoption examples by industry, then look at how the government smart factory rollout program is structured and what it takes to apply.

  2. 2

    Designing the plant data pipeline

    Learn what vibration, temperature, and pressure sensors give you and how to collect from them, then practice data quality control at the OT/IT boundary.

  3. 3

    MES, ERP, and SCADA integration

    Understand what each system is responsible for and how they connect, then work through strategies and standard interfaces for eliminating data silos.

  4. 4

    Hands-on AI process automation

    Build an AI workflow that automates a repetitive analysis process and run it end to end from a single trigger.

  5. 5

    Building the smart factory investment case

    Work through cost structure and an ROI framework, then draft a phased adoption roadmap for your own plant.

How teams put this to use

Automated design for automotive battery modules

Statistical analysis of thermal behavior was automated, cutting repeated simulation runs and capturing a data trail across design and production.

Smart factory adoption at a small manufacturer

Government funding was used to automate manual process steps and spread the cost of digital transformation across phases.

Multidisciplinary integrated design optimization

CAD and CAE were linked into an automated design loop, freeing engineers from repetitive work so they could focus on the decisions that mattered.

Expected outcomes

What changes once your team puts this to work on site.

  • Automating repetitive manual simulation and analysis frees engineers for the work that matters.
  • A data trail across design and production makes quality traceable.
  • A phased roadmap keeps the initial investment manageable.
  • Government funding brings down the cost of digital transformation.

Smart factory fundamentals — FAQ

No. The government smart factory rollout program is aimed at small and mid-sized manufacturers, and you can start at level 1 with small-scale automation. That makes phased adoption realistic for a small plant, not just a large enterprise.

Control systems on the plant floor (OT) put real-time response and stability first, while office IT systems run on general-purpose standard protocols. Their communication methods, security policies, and data formats differ, so they rarely connect directly. Closing that gap with industrial middleware such as OPC-UA and MQTT is the heart of the work.

The course includes hands-on work with a maturity assessment tool, data pipeline design methods, and an ROI framework. It is built so that you can assess your own plant and draft a phased roadmap as soon as the course ends.

We'll design the training around your operation

Schedule, group size, and curriculum detail all get set with you.

Which AI is best right now?See live AI TREND