Optimization Countermeasures of Highway Material Procurement Cost Based on Big Data Technology
罗嘉伟 LUO Jia-wei
（中铁第一勘察设计院集团有限公司，西安 710043）
（China Railway First Survey and Design Institute Group Co.，Ltd.，Xi'an 710043，China）
摘要：通过大数据技术在高速公路材料采购过程中的应用，可以实现成本的优化和效益的提升。本文结合大数据技术，对高速公路材料采购成本进行深入研究和分析，提出了一系列优化对策。首先，围绕大数据技术在高速公路材料采购成本优化中的重要性展开讨论。其次，提出了基于挣值法的材料成本控制策略，简要概述了项目内容，设计了成本控制总体思路，提出了挣值法成本控制指标。然后，通过大数据技术对挣值数据进行分析。结果表明，在高速公路材料采购中应用大数据技术可以显著降低采购成本，具有较高的实际应用价值和创新性。
Abstract: Through the application of big data technology in the process of highway material procurement, cost optimization and benefit enhancement can be achieved. This paper combines big data technology to carry out in-depth research and analysis of highway material procurement cost, and puts forward a series of optimization countermeasures. First, the importance of big data technology in highway material procurement cost optimization is discussed. Secondly, a material cost control strategy based on the earned value method is proposed, which briefly summarizes the project content, designs the general idea of cost control, and puts forward the cost control index of the earned value method. Then, the earned value data are analyzed through big data technology. The results show that the application of big data technology in highway material procurement can significantly reduce the procurement cost, which has high practical application value and innovation.
关键词：大数据技术；高速公路；材料采购；成本优化对策；挣值法
Key words: big data technology；highway；material procurement；cost optimization countermeasures；earned value approach
中图分类号：U415.13 文献标识码：A 文章编号：1006-4311（2024）27-067-03 doi:10.3969/j.issn.1006-4311.2024.27.020
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