数学理论与应用 ›› 2017, Vol. 37 ›› Issue (1): 73-80.

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基于最小二乘的非合作模式下投标报价的研究

周帅虎1 ,倪念勇1 ,王聪2   

  1. 1.长沙理工大学数学与统计学院,长沙,410004; 2.长沙理工大学交通运输工程学院,长沙,410004

  • 出版日期:2017-03-30 发布日期:2020-09-25

A Bidding Model Under Non-cooperation Mode Based on Least Squares

Zhou Shuaihu1, Ni Nianyong1, Wang Cong2   

  1. 1.School of Mathematics and Statistics,Changsha University of Science and Technology,Changsha 410004,China; 2.School of Traffic and Transportation Engineering,Changsha University of Science and Technology,Changsha 410004,China

  • Online:2017-03-30 Published:2020-09-25

摘要: 通过带有约束条件的最小二乘优化模型研究企业在非合作模式下、动态下浮比例时相邻两批每包货物投标报价问题,提出了每类货物平均价及每包最优报价的概念.将其应用于国家电网电容器项目招标.结果表明:模型提高了中标率,而且具有很强的稳健性.最后就基准价B =Al × (1-a)计算公式提出了改进建议.

关键词: 基准价, 最优报价, 最小二乘 , 下浮比例

Abstract: The Least Squares Optimization Model with constraints is used to study the bidding problem of two adjacent batches of goods with dynamic float ratio under non-cooperative mode,where the average price of each type of goods and the optimal bidding of each batch are adopted.The model is applied in a real bidding invitation of national grid capacitor project.The results show that the bidding model presents satisfactory performance and has good viability.Some suggestion on the formula of benchmark price B =Al×(1-a)is given in the end.

Key words: Benchmark, Optimal bidding, Least squares, Float ratio