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Making Busan the World's Best AI Port.

Deep Reinforcement Learning-based T-CAG Port Optimization Platform

1. Port & Logistics Inefficiency Challenge

Busan Port is a world-class transshipment hub, but Container Rehandling and Yard Congestion cause massive annual OPEX leakage.

  • Cost Leakage: Billions of KRW wasted annually on unnecessary rehandling movements.
  • Productivity Limits: Inefficient container stacking policies restrict terminal CAPA.
  • Future Readiness: Urgent need for Intelligent AI Infrastructure to prepare for increased cargo volume from Arctic routes.

2. T-CAG Platform: Port Optimization MVP

T-CAG (Terminal Capacity And Gain) platform eliminates terminal inefficiencies through AI and generates OPEX savings.

1. T-CAG Yard Orchestrator (TYO)

Container Rehandle Minimization AI. Reduces unnecessary rehandling operations, a core challenge in terminal operations, to cut OPEX.

Like a 'Lego Block Sorting Problem', it analyzes container departure priorities to determine optimal stacking positions so that containers leaving first are not buried underneath.

Instead of just considering current positions, it uses an AI decision-making approach (Cost Function) that predicts future costs (rehandle penalties) to prevent unnecessary work in advance.

AI-based Container Stacking Validation

AI Container Stacking Simulator

32.4% rehandling reduction proven in 3x5x5 environment | Watch on YouTube

2. T-CAG Digital Twin

AI Training & Operations Environment. Models complex operational constraints across the entire yard (cranes, ITT scheduling) and continuously trains the T-CAG TYO.

Port Simulator for Strategic Decision Making

Port Digital Twin 3D View

3D Interactive View

Port Digital Twin Top View

Top View (Real-time Status)

T-CAG Key Achievement: 32.4% Rehandling Reduction

T-CAG TYO dramatically reduces rehandling compared to existing Greedy policies.

Quantitative Savings

  • Total Moves: 186 to 175 (-5.9%)
  • Rehandles: 34 to 23 (-32.4%)

Immediate OPEX savings and Terminal CAPA increase.

Business Impact Projection

  • Annual Savings Potential: ~55.1B KRW
  • CAPA Increase Potential: +9.3M TEU
  • Revenue Model: Rev-Share based on OPEX savings

3. AI Pipeline & Future Vision

Building on T-CAG's success, MaeBara completes the ultimate vision spanning the entire logistics system.

V1.0.0 (MVP)

T-CAG Platform

Core Port Optimization (Rehandle Minimum) technology for OPEX reduction.

CURRENT
V2.0.0

Logistics Optimization

T-CAG data-driven SCM Efficiency and Global Demand Forecasting.

V3.0.0 (Ultimate)

Route Optimization

DRL-based Arctic Route & Maritime Economic Routing system.

DRL Technical Depth (Extreme Environment Test)

MaeBara V0.3.0 A* Route Optimization

DRL Agent training environment proven with 459.3 km route reduction in extreme Arctic conditions

MaeBara's DRL technology has already been validated in the most challenging environment (route optimization). This proven capability powers the T-CAG Platform's superior performance.

4. Leadership

Sangdo Han

Sangdo Han

CEO, MaeBara Corporation

Homepage: https://sites.google.com/site/hansd410/

Core Competencies & Achievements

  • OpenAI GPT-5 Hackathon Global Winner (Proven Top-tier AI Expertise)
  • AI/ML Technical Consulting & Project Development (B2B projects in Architecture/Civil Structure Optimization)
  • POSTECH Computer Science M.S. / Ph.D. Coursework (NLP, Reinforcement Learning)
  • Former Head of R&D at TmaxAI (Technical Leadership & Management)

Strategic Plan

  • Exclusive acquisition of Busan Port T/O operational data for DRL model training
  • Domestic terminal expansion: Deploy MaeBara AI across multiple Busan Port terminals with 55.1B KRW annual savings and +9.3M TEU CAPA increase via Rev-Share model.
  • Pre-emptive global 'Policy Advantage' for projected 2030 Arctic route volume (150M tons) through integrated risk data and logistics optimization.

5. Technical White Paper

[MaeBara White Paper] Northern Sea Route Era: Charting a New Map for Korean Maritime Logistics

MaeBara's vision for maritime logistics goes beyond simple efficiency improvement - it aims to set the standard for 'Intelligent Infrastructure'.

We release Technical White Paper v1.0.0, containing MaeBara's core technologies and empirical data to solve the ~500 billion KRW annual operational inefficiency at Busan Port and seize leadership in the upcoming Northern Sea Route era.

Key Highlights:

  • T-CAG TYO: Deep Reinforcement Learning (DRL) based port stacking optimization (32.4% rehandling reduction)
  • NSR-OptiNav: Northern Sea Route intelligent navigation (459.3km route reduction)
  • Global Vision: Realizing the 'Tesla Model' of maritime logistics connecting ports and seas

See how the overwhelming technical capability proven by OpenAI Hackathon victory solves real industry challenges.

6. Media Coverage

Busan: The Global AI Port Standard!

Transform your terminal operations with MaeBara's T-CAG technology.

Email: hansd410@gmail.com | Phone: (+82) 10-3331-8745

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