Current Situation: Traditional production planning relies heavily on manual creation, facing challenges from multifactorial variables and complex working conditions. Decisions based on individual experience are hard to standardize and control. Furthermore, manual scheduling is time-consuming and struggles to adapt to weather fluctuations. For instance, berth planning cycles are excessive, typically requiring 2-3 hours to complete.
Solution: To develop a Port-specific Large Model coupled with Intelligent Agents. Leveraging a robust AI development toolchain and Agent platform, the system invokes NLP and multi-modal models to incubate smart production applications. It enables automated scheduling across pilotage, berthing, quay cranes, yards, and stowage, ultimately achieving optimal collaborative efficiency across all operational elements.
Key Value Propositions: Knowledge Institutionalization: 100% of expert experience is captured and digitized as reusable assets. Drastic Efficiency Gains: Planning lead time is slashed from hours to minutes. Operational Cost Reduction: Minimizes vessel waiting times and maximizes berth utilization, significantly lowering overall operating costs.
Benefits
Experience Solidification
100% of expert experience is recorded and accumulated.
Drastically shortened planning cycles,From hours to minutes
Reduce ship waiting time, improve berth utilization, and reduce operating costs