

All-round integrated solutions make smart manufacturing easier!
Solution


Optical Components
Optical communication components include two major types of products: active and passive. The degree of automation/mechanization used in their manufacturing process is not high, and it mainly depends on the processing level and ability of employees.
Industry Status


Challenges
·Short production cycles, a wide variety of products, difficult labeling, and high-precision labeling;
·Multiple production lines, complex process routes, and large amounts of collected data;
·On-site operators and management personnel lack real-time visibility into production conditions and progress;
·Product mispacking occurs, and product packaging labels are not barcoded.


01. Process Management
Configure process routes and maintain bill of materials (BOMs).
02. Production Planning and Scheduling
Generate and schedule work orders based on order logic for the shop floor.
03. Materials Management
Manage work-in-process products on-site and provide robust traceability and control capabilities for key materials and equipment.
04. Equipment Management
Monitor the operating status of CNC equipment and conduct OEE analysis.
05. Quality Management
Manage and collect data for initial inspection, spot checks, and full inspections, as well as inspection and management of outsourced components.
06. System Integration
Enable data exchange and integration between the MES system and ERP, HR, and optimization software based on business needs.
07. Warehouse Management
Provide operations such as material loading and unloading, handover, splitting, merging, transfer, inventory counting, locking, and unlocking.
Orbit-MES Solution
Customer Value






Improve Manufacturing Execution Capabilities
Provide data support for production efficiency, cost, and quality analysis, improving the company's manufacturing execution capabilities and product delivery capabilities.
Improve Decision-Making Accuracy
Help companies improve data accuracy and real-time performance, and improve production decision-making capabilities through data-driven decision-making.
Reduce Costs And Increase Efficiency
Shortening production cycles, reducing inventory backlogs, and lowering defective product rates, effectively helping businesses achieve cost reduction and efficiency gains.
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