吉林大学学报(信息科学版) ›› 2023, Vol. 41 ›› Issue (5): 820-826.

• • 上一篇    下一篇

基于二元密度聚类的物资价格时延计算方法研究 

 程晓晓a , 蒲兵舰a , 张国平b , 丁萌萌b   

  1. 国网河南省电力公司 a. 物资部; b. 物资公司, 郑州 450000
  • 收稿日期:2023-06-14 出版日期:2023-10-09 发布日期:2023-10-10
  • 作者简介: 程晓晓(1984— ), 男, 河南汝州人, 国网河南省电力公司工程师, 主要从事电网工程及招标采购管理研究, ( Tel)86- 15904318543(E-mail)chengxiao0722@ 163. com。
  • 基金资助:
     国网公司总部基金资助项目(5400-202124146A-0-0-00); 国网河南省电力公司基金资助项目(5217N0210001)

Research on Time-Delay Calculation Method of Material Price Based on Binary Density Clustering

CHENG Xiaoxiao a , PU Bingjian a , ZHANG Guoping b , DING Mengmeng b   

  1. a. Department of Procurement; b. Materials Company, State Grid Henan Electric Power Company, Zhengzhou 450000, China
  • Received:2023-06-14 Online:2023-10-09 Published:2023-10-10

摘要: 针对物资市场价格受多种原材料价格波动的影响, 并且其市场价格调整落后于原材料价格调整的滞后 问题, 为提高预测效果, 利用二元密度聚类方法结合动态时间规整算法(DTW: Dynamic Time Warping), 计算 不同时间间隔内物资的市场价格与原材料价格走势相似度, 得到价格的时间延迟。 结果表明, 物资的市场价格 波动滞后原材料价格波动 11 , 电缆物资的市场价格则可根据 11 周前原材料价格走势进行预测, 辅助企业 采购部门制定合理的采购方案。 

关键词: 价格预测, 二元密度聚类, 动态时间规整, 数据融合

Abstract: There are many kinds of raw materials required, and the market price of materials is affected by the price of raw materials. Under such conditions, the price of raw materials has changed, but the market price of materials has not changed. In order to improve the effect of prediction, it is necessary to obtain the time delay of price. This study uses binary density clustering method combined with DTW ( Dynamic Time Warping ) algorithm, to calculate the similarity between the market prices of commodities over different time intervals and the trends in raw material prices. It has been determined that the market prices of commodities lag behind the fluctuations in raw material prices by 11 weeks. As a result, the market price of cable materials can be predicted based on the trends in raw material prices from 11 weeks ago. This information can assist the procurement department of businesses in formulating rational procurement strategies.

Key words: forecast price, binary density clustering, dynamic time warping(DTW), data fusion

中图分类号: 

  • TP181