Sewing Factory IoT War (3) : Sensor Outlier Detection and Output Confirmation
How Monolog V2 removes false detections from sewing factory IoT sensor data with IQR-based limits and confirms production output
UX Note (2): Global UX Writing for Apparel Production Sites
What should global UX writing look like in apparel production environments? Let’s explore UX writing experiences shaped by diverse on-site realities.

UX Note (1): UX Writing Starts with Defining Field Terminology
Worker, Operator, Công nhân… Why Terminology Had to Be Unified for a Global Service

SIJE Patent Note (3): AI Production Forecasting
Let’s explore how AI production forecasting enables accurate target output calculations in apparel factories.

SIJE Patent Note (2): Small-Batch Production and AI Prediction
Small-batch runs used to be guesswork. Now, SIJE’s apparel production AI predicts how fast workers learn and how many pieces to make each day.

SIJE Patent Note (1) : Line Balancing in Apparel Factories
When data leads the line — bottlenecks disappear. The Smart Line Leader that brings balance to apparel production.

Monolog PoC (2) : Smart Factory Innovation in Apparel Manufacturing
The Monolog PoC project conducted at a Seoul apparel factory. Here’s a story from the field—where manual work was transformed into data and the team experienced true smart factory innovation.

Monolog PoC (1) : Youngone Vietnam Smart Factory
Here’s a case study of the Monolog PoC in a Vietnamese garment factory—how did real-time data and IoT bring change?

Featured
- How Factory Data Moves to Korea’s Dashboard (1)
- 2025. 06. 09 | Pin
- Sewing Factory IoT War (1) : The Battle Between Real-Time Data and the Cloud
- 2025. 07. 21 | Pin
