Manufacturing DX Solutions 製造業DXソリューション
Realizing Digital Transformation in Manufacturing
We solve supply chain challenges across procurement, production, logistics, sales, and after-sales service
— leveraging AsiaQuest's extensive expertise and proven track record in AI, IoT, digital twins, system development, and cloud infrastructure.
Solution
ソリューション概要
AsiaQuest's Manufacturing DX
AsiaQuest's Manufacturing DX
Digital Transformation (DX) is a critical initiative for improving productivity and strengthening competitiveness in the manufacturing industry. By utilizing digital technologies such as IoT, AI, and cloud, we collect and analyze data from manufacturing equipment and production lines to achieve visualization of production processes, advanced quality management, and optimized production planning.
Service
- Performance Monitoring
- Equipment Maintenance System
- Drawing Knowledge Platform
- Search System for Similar Parts Defects
Service サービス
Performance Monitoring
Performance Monitoring
Driving improvement activities based on reliable evidence
Motion capture & AI identify processes and automate the collection of performance data on the manufacturing floor.
Collected data can be used to analyze and address bottlenecks, as well as serve as evidence for production planning.
- Automatically identifies waste, inefficiency, and inconsistency
- Smoothly measures the effectiveness of improvement initiatives through comparison with past data
Example Challenge
- Yield improvement efforts are underway but results have been hard to achieve.
Equipment Maintenance System
Equipment Maintenance System
AI agents accelerate skills and knowledge transfer
An AI agent reads registered equipment diagram information and supports the identification of inspection points and root cause analysis of anomalies, alongside alerts.
By learning user operations to classify alerts, monitoring fatigue is also reduced.
- Collects system operation data to learn veteran engineers' judgment
- Promotes early detection of equipment failures and minimizes downtime risk
Example Challenge
- Technical know-how is siloed and not being accumulated within the organization.
Drawing Knowledge Platform
Drawing Knowledge Platform
Improving operational efficiency and quality by leveraging past drawing data
A platform that enables similarity search of 2D drawings by both text and shape.
By integrating into design review workflows, a system is built where data naturally accumulates over time.
AI corrects variations in notation and structuring, keeping internal data naturally organized.
- Eliminates the effort of recreating drawings from scratch when past ones can't be found
- Automatically detects risks by cross-referencing drawings with known past defects
Example Challenge
- Drawing knowledge is hard to reuse because the data is not well organized.
Search System for Similar Parts Defects
Search System for Similar Parts Defects
AI inherits and cross-searches design knowledge
By matching design parts information (such as E-BOM) with defect databases (market and quality information) using AI, a system is built that enables cross-referential search of past similar defects — even without a part number. This prevents oversights during design reviews and addresses the risk of knowledge loss due to veteran retirements through systematic processes.
- Cross-search for similar defects without part numbers
- Proactively prevent oversights during design reviews
Example Challenge
- There is a risk of knowledge loss when veteran employees retire.
Case
製造DXソリューション（事例）
Meidensha Corporation
"Walking alongside from the concept stage, building together" — Realizing Meidensha's innovation through "hands-on" development support ~
In building a smart security service for Meidensha Corporation, AsiaQuest did not simply develop to spec — we partnered from the concept stage to jointly define requirements and co-create the system.
Sumitomo Wiring Systems, Ltd.
Development of a beacon-based access management system
