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.
本文将结合产品碳足迹、电力消耗、低碳产品占比、减碳技术应用占比、产品碳效比、能效等级和性能参数要求等指标构建产品低碳评价模型,运用基于特征的设计目录结构和模糊数学等知识,设计电力产品的低碳评价方案,全面量化评价产品的绿色低碳水平,为电力物资采购提供判断依据,深化绿色采购应用,助力链上企业绿色低碳发展。This paper will combine the product carbon footprint, power consumption, proportion of low carbon products, proportion of carbon reduction technology application, carbon efficiency ratio of products, energy efficiency level and performance parameter requirements and other indicators to build a product low carbon evaluation model. Using feature-based design directory structure and fuzzy mathematics knowledge, low carbon evaluation scheme of power products will be designed to comprehensively and quantitatively evaluate the green and low carbon level of products, providing a judgment basis for the procurement of power materials, deepening the application of green procurement, and helping the green and low-carbon development of enterprises on the chain.
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