首页    期刊浏览 2025年09月20日 星期六
登录注册

文章基本信息

  • 标题:MONTE CARLO METHOD AND APPLICATION IN @RISK SIMULATION SYSTEM
  • 本地全文:下载
  • 作者:Gabriela I.ar¨ªkov¨¢ ; Peter Trebu¨¾a
  • 期刊名称:Acta Logistica
  • 电子版ISSN:1339-5629
  • 出版年度:2015
  • 卷号:2
  • 期号:4
  • 页码:1-6
  • 出版社:Acta Logistica
  • 摘要:The article is an example of using the software simulation @Risk designed for simulation in Microsoft Excel spread sheet, demonstrated the possibility of its usage in order to show a universal method of solving problems. The simulation is experimenting with computer models based on the real production process in order to optimize the production processes or the system. The simulation model allows performing a number of experiments, analysing them, evaluating, optimizing and afterwards applying the results to the real system. A simulation model in general is presenting modelling system by using mathematical formulations and logical relations. In the model is possible to distinguish controlled inputs (for instance investment costs) and random outputs (for instance demand), which are by using a model transformed into outputs (for instance mean value of profit). In case of a simulation experiment at the beginning are chosen controlled inputs and random (stochastic) outputs are generated randomly. Simulations belong into quantitative tools, which can be used as a support for a decision making.
  • 关键词:simulation model; Monte Carlo method; simulation system; design
国家哲学社会科学文献中心版权所有