The Monte Carlo method application in cost risk management of pre-transmission line project based on Markov chain

被引:0
|
作者
Zhu, Wenchao [1 ]
He, Yi [1 ]
Ren, Huirui [1 ]
Wang, Xin [1 ]
Tian, Haifeng [1 ]
机构
[1] State Grid Qinghai Elect Power Co, Econ Res Inst, Xining, Qinghai, Peoples R China
关键词
Pre-construction stage cost; Early stage; Risk management; Decision-making model; MCMC method;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Under the framework of traditional cost management and project risk management, this paper analyzes the characteristics of pre-construction cost management of transmission line project, identifies the risk factors affecting the project cost in the pre-construction stage, establishes a decision-making model for pre-construction cost management and control of transmission line project, which is based on traditional forecasting technology. In view of the shortcomings of Monte Carlo method, this paper proposes Monte Carlo method (MCMC) based on Markov chain to simulate, predicts the changes of transmission line price factors and ultimately realizes the risk control of transmission line project cost in the early stage of the project. The example and simulation results show feasibility and practicability of the method in transmission line cost forecasting and management in the early stage of the project.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Zoeppritz-based AVO inversion using an improved Markov chain Monte Carlo method
    Xin-Peng Pan
    Guang-Zhi Zhang
    Jia-Jia Zhang
    Xing-Yao Yin
    Petroleum Science, 2017, 14 (01) : 75 - 83
  • [32] Application of the reversible jump Markov chain Monte Carlo method to real-life propagation measurements
    Larocque, JR
    Reilly, JP
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 3184 - 3187
  • [33] Robustness analysis of underground powerhouse construction simulation based on Markov Chain Monte Carlo method
    ZHONG DengHua
    BI Lei
    YU Jia
    ZHAO MengQi
    Science China(Technological Sciences), 2016, (02) : 252 - 264
  • [34] A new method for RGB to CIELAB color space transformation based on Markov chain Monte Carlo
    Chen, Yajun
    Liu, Ding
    Liang, Junli
    MIPPR 2013: PARALLEL PROCESSING OF IMAGES AND OPTIMIZATION AND MEDICAL IMAGING PROCESSING, 2013, 8920
  • [35] Robustness analysis of underground powerhouse construction simulation based on Markov Chain Monte Carlo method
    Zhong DengHua
    Bi Lei
    Yu Jia
    Zhao MengQi
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2016, 59 (02) : 252 - 264
  • [36] Markov Chain Monte Carlo-based Bayesian method for nonlinear stochastic model updating
    Ding, Ya-Jie
    Wang, Zuo-Cai
    Chen, Genda
    Ren, Wei-Xin
    Xin, Yu
    JOURNAL OF SOUND AND VIBRATION, 2022, 520
  • [37] Place Recognition Based on Latent Dirichlet Allocation Using Markov Chain Monte Carlo Method
    Xie, Tao
    Yang, Jinfu
    Li, Mingai
    Zhao, Weiwei
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 2225 - 2230
  • [38] Railway ballast damage detection by Markov chain Monte Carlo-based Bayesian method
    Lam, Heung F.
    Yang, Jia H.
    Hu, Qin
    Ng, Ching T.
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2018, 17 (03): : 706 - 724
  • [39] Robustness analysis of underground powerhouse construction simulation based on Markov Chain Monte Carlo method
    DengHua Zhong
    Lei Bi
    Jia Yu
    MengQi Zhao
    Science China Technological Sciences, 2016, 59 : 252 - 264
  • [40] Zoeppritz-based AVO inversion using an improved Markov chain Monte Carlo method
    Pan, Xin-Peng
    Zhang, Guang-Zhi
    Zhang, Jia-Jia
    Yin, Xing-Yao
    PETROLEUM SCIENCE, 2017, 14 (01) : 75 - 83