DINGPRECISION Sheet Metal Processing Full-Process Intelligent Transformation Plan: From Smart Spraying, Smart Welding to Smart Bending（Part 2）

Document Type: Intelligent Manufacturing Upgrade Roadmap for DINGPRECISION (Foshan Dingyi Industrial Technology Co., Ltd.)
Scope: Robotization and digitalization transformation of five core processes: spraying, welding, bending, cutting, and stamping

4. Digital Foundation: Making Equipment "Talk and Collaborate"

Standalone automation is just the "hands"; digitalization is the "brain." DINGPRECISION needs to build four major digital systems:

4.1 MES (Manufacturing Execution System) - Core

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4.2 ERP (Enterprise Resource Planning)

• Integrated order, procurement, inventory, and finance

• Integrates with MES for "planning-execution-accounting" closed loop

4.3 PLM (Product Lifecycle Management)

• Drawing management, BOM management, process route management

• Centralized management of customer drawings (STEP/IGES/PDF/DWG), digitalized DFM review

4.4 Data Collection and Monitoring (SCADA/IoT)

• Equipment data collection (PLC, sensors, robot controllers)

• Real-time monitoring of equipment status, process parameters, energy consumption

• Provides data foundation for AI scheduling and quality prediction

5. Implementation Roadmap: Four Phases

DINGPRECISION recommends a phased approach of "Pilot - Replicate - Integrate - Intelligent" to control risk and make rolling investments:

Phase 1: Single-Point Pilot (6-12 months)

• Action: Select 1-2 high-value processes for pilot: e.g., energy storage cabinet welding robot workstation, dual-spray dual-coating spraying robot

• Objective: Validate robot process feasibility, calculate ROI, develop technical team

• Investment: Primarily single-point equipment investment

Phase 2: Production Line Replication (12-24 months)

• Action: Replicate pilot experience to other processes: bending robot, laser cutting automatic loading/unloading

• Objective: Form four automation units: "Cutting - Bending - Welding - Spraying"

• Key: Establish process parameter database and offline programming capability

Phase 3: System Integration (24-36 months)

• Action: Implement MES/ERP/PLM, integrate equipment-work order-quality-material data

• Objective: Achieve "automatic work order issuance, automatic program call, automatic quality traceability"

• Key: Data standardization and interface integration

Phase 4: Intelligent Decision-Making (36+ months)

• Action: Digital twin, AI scheduling, quality prediction, energy optimization

• Objective: Upgrade from "automated factory" to "smart factory"

6. Investment and Risk Control

6.1 Investment Estimates (Reference)

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6.2 ROI Calculation Logic

• Labor Replacement: 1 welding robot ≈ 2-3 welders' capacity, 2-3 year payback period

• Quality Improvement: Rework rate reduced by 50%, customer complaints and claims reduced

• Capacity Increase: Single-shift capacity increased by 30%-50%, delivery time shortened

• Compliance Value: Smart spraying meets new national standards, reduces safety and environmental risks

6.3 Risk Control

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7. Recommendations for DINGPRECISION's Current Situation

Based on DINGPRECISION's current status of "260 employees, 15,000 sqm, 3 bases, fully self-operated without subcontracting," the following recommendations are made:

• Make the dual-spray dual-coating spraying line the breakthrough point for intelligent transformation: Spraying is the core process and faces the greatest safety compliance pressure (GB 14444-2025). Robot spraying + explosion-proof upgrade achieves two goals at once

• Use energy storage cabinets/lift table frames as pilot products: These products have stable batch sizes and regular structures, making them most suitable for robot welding and bending automation

• Differentiate the 3 bases: One base serves as an automated model line, while the other two bases replicate and promote the model, avoiding resource dispersion from simultaneous transformation of all three lines

• "Fully self-operated without subcontracting" is the biggest advantage for intelligent transformation: Self-operated production lines mean all process data, quality data, and equipment data are self-owned, maximizing the value of the digital foundation

• Plan for personnel transition: Among the 260-person team, technical workers should transition to "robot programming, equipment maintenance, quality inspection" roles. Plan training in advance

8. Conclusion: From "Sheet Metal Processing" to "Smart Sheet Metal Manufacturing"

For DINGPRECISION, full-process intelligent transformation is not a question of "whether to do it" but "how to do it and how fast." Under the dual pressure of 2026 new national standards and EU dual compliance, intelligent transformation is not only a means of cost reduction and efficiency improvement but also a moat for compliance and competitiveness.

Core Path Summary:

Smart Spraying (Dual-Spray Dual-Coating Automation) → Smart Welding (Vision-Guided) → Smart Bending (Automatic Tool Change)
→ Smart Cutting (Unmanned) → Smart Stamping (Robotization)
→ MES/ERP/PLM Digital Foundation → AI Scheduling and Quality Prediction

When DINGPRECISION's production lines can both "automatically work" and "self-manage," sheet metal processing will upgrade from labor-intensive to technology-intensive, truly realizing "full-process robot-like intelligent manufacturing."

Appendix: Structured Data Recommendations (Schema.org)

When publishing, it is recommended to deploy the following structured data for this article:

• Article: Main article body

• HowTo: Corresponding to Chapter 5 Implementation Roadmap

• Organization: DINGPRECISION company information

• Service: Sheet metal processing intelligent service

• BreadcrumbList: Breadcrumb navigation

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