SIJElog: Tech blog on manufacturing knowledge as an asset for three-party trade
What the New sije.io Shows About SIJE’s Direction: From Digital Transformation to Manufacturing Knowledge as an Asset
The previous site and the new site side by side: the words that describe the company, menu order, target industries, products and how results are shown.
How a Small Sewing Factory Adopts a Smart Factory Through a Government Support Program
The track depends on whether the factory already has data. Tracks, procedure and cost criteria in order, based on the 2026 notice.
One Tablet per Sewing Cell: Data Collection Designed for a Small Line
The equipment is one type of tablet, and it reads joint points in place of video. The system proposes and the supervisor decides.
Why Smart Factory Systems Did Not Fit Small Sewing Factories
The equipment and standards of a mass production line do not carry over to a line where the style changes every day or two. Here is what a five-week PoC at a factory with 20-some operators confirmed.
Ontology in Practice (4) : Letting AI Answer on Top of a Meaning Layer
How AI answers questions on top of one table per domain, a semantic view and a data dictionary, and how meaning is reconnected when the ERP changes.
Ontology in Practice (3) : Finding Meaning in a Database Without Keys
Working backwards to the definitions of data in a database with no linking information, using value inclusion and report formulas.
Ontology in Practice (2) : Four Tasks Behind a Sewing Data Dictionary
How a sewing data dictionary turns freely typed process names into one ID per process, with properties and relations attached.
Ontology in Practice (1) : The Meaning of Data That Should Survive a System Change
Tables change when systems change. Business definitions such as return, receipt and inventory have to be kept outside the tables.
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