一种基于时空扩展网络的电解铝厂抬包车调度方法
By constructing a spatiotemporal extended network and a mixed integer programming model, the problem of low vehicle utilization in the scheduling of trucks in electrolytic aluminum plants was solved, generating an executable scheduling scheme that improved transportation efficiency and reduced costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENYANG ALUMINIUM MAGNESIUM INSTITUTE
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
The current scheduling of haul trucks in electrolytic aluminum plants relies on manual experience, resulting in low vehicle utilization and high empty load rates. It is difficult to simultaneously meet the requirements of multi-task time windows, path continuity, and vehicle capacity constraints, and there is a lack of systematic spatiotemporal coupling optimization methods.
A spatiotemporal extended network is constructed, and time is discretized into multiple time periods. A mixed integer programming model is established, and path continuity, time window, and capacity constraints are set. An optimization algorithm is used to solve the scheduling scheme and generate an executable car-sharing scheduling scheme.
It achieves global optimization of the scheduling of chartered vehicles, reduces transportation costs, improves vehicle utilization, meets the constraints of multi-task time windows and path continuity, and adapts to the needs of electrolytic aluminum plants of different production scales.
Smart Images
Figure CN122414744A_ABST