本文主要将通过梳理采购批次排程现有流程,定位当前业务痛点、堵点问题,结合业务目标、供应链控制塔理论、求解器等先进的数智化技术,开展批次智能排程模拟。电网企业采购体量庞大,传统的人工排程方式工作效率低下,批次智能排程应用求解器,通过输入约束条件求解出最优解,为决策的制定提供重要支撑,优化供应链计划管理和资源,提高供应链运营质效。This paper will primarily focus on streamlining the existing scheduling process for procurement batches, and identifying the current pain points and bottlenecks in the business operations. Combining business objectives, the theory of the supply chain control tower, solvers, and other advanced digital and intelligent technologies, it will conduct simulations for intelligent batch scheduling. Given the substantial procurement volume of power grid enterprises and the inefficiencies associated with traditional manual scheduling methods, the application of batch intelligent scheduling solvers can derive optimal solutions based on input constraints. This provides critical support for decision-making, optimizes supply chain planning and resource management, and enhances the overall quality and efficiency of supply chain operations.
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