基于求解器的物流智能调控指挥体研究

Research on the Intelligent Logistics Control Command Entities Based on Solver

摘要: 针对电网企业物流环节车辆匹配低效、方案目标单一、应急物资响应滞后等问题，研究物流智能调控指挥体，通过规划智能配载方案与路径优化策略提升物流管理质效。物联网(IoT)和5G技术的融合应用为物流智能调控指挥体提供高质量的实时数据，实现各类参数自动更新等；基于供应链求解器的强大算力，综合考虑成本、时效、合规性等约束条件，构建多目标运筹优化模型，计算出平衡多目标的最优物流运输调度方案。

Abstract: Aiming to address the issues of inefficient vehicle matching, a single-objective distribution scheme, and delayed response in emergency material logistics within power grid enterprises, this study proposes an intelligent logistics control and command system. The quality and efficiency of logistics management are enhanced through the development of intelligent loading plans and route optimization strategies. The integrated application of Internet of Things (IoT) and 5G technologies provides high-quality real-time data for intelligent logistics control and command system, enabling automatic updates of various parameters. Leveraging the robust computational capabilities of supply chain solvers and considering constraints such as cost, time, and compliance, a multi-objective operational optimization model is constructed to determine the optimal logistics and transportation scheduling scheme that balances multiple objectives.