Project experience grounded in real operational challenges

Quotations, orders, purchasing, production and fulfillment data were fragmented, making cross-functional coordination and shop-floor visibility difficult.

Digitized operational and manufacturing workflows through web-based applications, integrating route cards, label printing, permissions, dashboards, Excel workflows and system interfaces. Web ERP and ERP MES are partner-developed projects.

Engineering projects require a consistent data structure across BOM, costing, purchasing, production, labeling, fulfillment and documentation workflows.

A product-capability demo validates integrated engineering, manufacturing and costing workflows as a foundation for scenario-specific implementation.

Industrial validation workflows span multiple measurement, switching, power and control devices, making repeatable sequencing, data capture and diagnostics difficult with manual operation.

Built an abstracted industrial measurement and validation platform for multi-stage tests, channel switching, logging, Excel output, process and temperature control, and diagnostics without exposing customer or sensitive test parameters.

Laboratory cases span sampling, receipt, testing, QA/QC, reporting and approval, requiring a consistent and traceable operational history.

A LIMS demo validates the information workflow from customer cases through report versioning, approval and traceability.

Metals, commodity and energy information comes from distributed sources and requires consistent data interfaces, status monitoring and trend visualization.

Built a market-data dashboard and provider abstraction layer to validate WebSocket updates, data status monitoring and trend-visualization architecture.

Customers and employees need mobile access to delivery, production, quality and fulfillment status while preserving role-based information boundaries.

A prototype validates LINE commands, ERP API integration and operational dashboard information without exposing customer identities or sensitive operational data.

A scenario involving approximately 3,000 spare-part types requires a structured foundation for master data, classification, machine mapping, locations, inventory and operation history.

This is a solution-planning engagement covering phased WMS workflows, mobile-rack integration, and future AGV, conveyor and ERP integration. It is not represented as a completed or deployed product.

Drawing processing, template application, BOM-related workflows and repetitive CAD tasks require validation of practical automation and AI-assistance boundaries.

Demo and R&D validation explore drawing-data processing, template workflows, engineering automation and AI-assisted analysis without claiming to replace engineers or support every CAD scenario.