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LDS Produces Collaborative Autonomous Tug System
Building a flexible, collaboratively-driven intelligent manufacturing execution hub
Get the solutionBangQi Technology's LDS Production-Powered Autonomous Execution System is a fully automated, intelligently coordinated logistics solution that streamlines the entire production-to-logistics workflow. Built on a robust technological foundation of logistics/production big data, edge/cloud computing, scenario-specific AI, decision-making AI, and advanced robotics control technologies, this system targets the vision of a fully unmanned factory. It seamlessly integrates data flows across equipment and systems on both the logistics and production sides, reimagining business processes to focus squarely on cost reduction and efficiency enhancement. By consolidating management across all operational scenarios into a unified platform, the system empowers enterprises to manage their entire factory operations—from production to logistics—through a single, powerful business and data middleware hub.
Scheme Value
Turning factory automation into a reality—our mid-platform, "掌工厂," focuses on reducing costs and boosting efficiency by integrating all business scenarios into a single, unified management system, delivering tangible results in cost reduction and productivity enhancement.
Increase production capacity10%
Intelligent, collaborative coordination of production line material demand and material pull systems to enhance capacity output and order fulfillment rates.
Increase the automation rate90%
Break down information and equipment barriers across all processes to enable intelligent, multi-device, multi-process, and multi-task collaboration.
Hardware investment cost reduction30%
IT spending cuts to reduce costs; inventory levels at all tiers have declined, leading to reduced investments in warehouse hardware and facilities.
Reduce headcount, boost efficiency, cut costs50%
Dafu reduces its production workforce.
Significantly reduce the number of warehouse staff, line-side buffers, and workstation operators;
DaFu enhances operational efficiency, improves collaboration between upstream and downstream processes, and boosts scenario-based decision-making effectiveness.
Technological Advantages
AI-Optimized Decision-Making for Standardized Scenarios
By deeply analyzing data from every stage of the digital factory, we have developed a self-designed task scheduling engine equipped with core capabilities such as proactive material handling scheduling, priority determination, and task merging or splitting.
Intelligent task scheduling, flexible and optimal orchestration
The three abstract elements—model, object, and process—integrate environment and equipment, enabling business-driven orchestration of workflows. These include dynamic features such as task insertion, priority adjustments, and automatic task merging/division.
Eliminate isolated breakpoints and connect all essential elements.
Business systems: ERP, MES, WMS, SCM, CRM; equipment control systems—including SCADA, WCS, PLC controllers—work seamlessly together to create an integrated, closed-loop process spanning the chain: "Order → Task → Dispatch → Execution → Acknowledgment."
Multi-level BI Integrated Control and Decision-Support System
Data analysis and visualization dashboard system that performs intelligent data analysis and visual representation, providing real-time insights into key operational metrics such as pull status, path heatmaps, task completion rates, and AGV distribution maps.
Customer Case Studies
A leading new energy enterprise
Customer pain points: The warehouse is far from the production line and features numerous turns, causing AGVs to frequently stall, collide, and operate with low scheduling efficiency.
Solution: BangQi LDS deploys RCS scheduling module, path optimization algorithm, and anomaly prediction system.
Realizing value:
AGV average task completion time reduced by 25%
Congestion levels have dropped to below 2%.
Cost recovery period < 9 months
A global Fortune 500 automotive parts company
Customer pain points: An average of 2,000 material delivery tasks per day—manual delivery methods could no longer keep up with the required pace, leading to frequent errors and missed deliveries.
Solution: By introducing the Pound Flag LDS, the customer's production system connects to the MES signal source, enabling AGVs to automatically retrieve materials and operate continuously around the clock.
Realizing value:
Artificial delivery positions reduced by 70%
Production line takt time achievement rate improved to 98%.
Exception alarm response time < 3 seconds
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