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非破壊的な改修およびハードウェアの追加 |
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| 自動機械ドア |  |
| パレタイジングシステム |  |
| 安全柵／安全ドア |  |
| SmartBoxデータ収集ユニット |  |
| ロボット | |
| ロボットリニアレール | |
| CMM（座標測定機） |  |
| クリーニングマシン | |
| AMR | |
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機械式ローダー（オプション） |
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垂直収納システム（オプション） |
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| 多軸ロボット（オプション） | |
エンジニアリングサービスを提供する
プロセス設計
治具設計
Positioning: A workshop-level, fully closed-loop unmanned intelligent upgrade. Connects enterprise ERP and MES systems, integrates all workshop equipment and processes, achieving full-scenario intelligent control.
Form: Building upon the line level, this solution adds hardware such as AMR(Autonomous Mobile Robot) and vertical storage systems. It introduces digital twin technology, with software enabling comprehensive workshop-level scheduling, connecting to ERP and MES systems to form a complete workshop intelligence closed loop.
Core Objective: Achieve 24-hour unmanned production at the workshop level; enable automatic material transport; gain full-process control over orders, production, quality, and energy consumption; map real-time workshop status via digital twins; facilitate predictive maintenance and process optimization.
アプリケーション
Scenario
Intelligent upgrade of an entire machining workshop. Suitable for large and medium-sized machining enterprises pursuing unmanned, digital, and integrated management across the entire workshop.
Specific Uses
Achieve 24-hour unmanned production and seamless changeover workshop-wide; enable automatic material dispatching and transport; connect with ERP and MES systems for seamless integration of order, production, and financial data; create 1:1 real-time mapping of the workshop status with digital twins to promote predictive maintenance; achieve full-process data traceability and energy management at the workshop level.
応用事例
ハイライト
1
Increase machine tool utilization rate to 70-80% or above
2
Shorten product lead time
3
Enhance order-winning competitiveness for enterprises
4
Reduce costs for tooling, fixtures, and machine startup
5
Save operational and technical labor costs
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Enable data-driven decision-making through analytics
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Address the challenge of skilled labor shortages
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Achieve 24/7 unmanned production
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Improve workplace safety
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Enhance quality stability
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Implement predictive quality control
12
Strengthen manufacturing traceability and energy consumption traceability
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