仿真建模在复杂系统管理中的应用

IF 0.4 Q4 MATHEMATICS, APPLIED
Timur Devyatkov, V. Devyatkov, Alexey V. Gabalin
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引用次数: 0

摘要

本文分析了仿真模型在大型系统管理中的应用问题。阐述了研究的背景,即模型在管理中的应用领域逐渐增加。仿真模型在不同分支复杂系统战略管理中的应用取得了相当成功的结果,例如[6,7]中描述的工作。文中指出,大多数仿真模型的执行时间较长,使得仿真模型难以应用于运行管理,特别是复杂系统的运行管理。这一问题的可能解决方案涉及到多因素的协同作用,主要是根本性的新计算能力的出现,使用当代模拟研究的概念,将模拟建模与多因素优化相结合,使用模型作为求解器,提出。使用模型进行优化实验的能力允许找到并推荐系统开发的最佳方法。仿真实验结果表明,该方法在炼油企业产量优化规划中的应用是有效的。通过将IOSO多参数优化软件与GPSS Studio建模环境连接,成功地测试了在建模环境中寻找最优解的技术。基于工作结果,得出的结论是,在未来的最优解寻找技术将允许使用仿真模型作为自动“智能求解器”在自动生产计划过程中。所执行的分析和估计表明,所有新可能性的集成使用确保了模型执行时间和管理解决方案生产所需的时间范围的同步。给出了在复杂系统运行控制中积极应用仿真建模方法的初步结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation modeling application in complex system management
The article analyses the issues of the simulation models application in the large systems management. The background of the issue, specifically, the gradual increase of the models application domain in the management, is described. Quite successful results of the simulation models application in the strategic management of complex systems in different branches are noticed, for example, the works described in [6, 7]. It is mentioned that quite long execution time of most simulation models make it difficult to use them in the operational management, especially for complex systems. The possible solutions of this problem related to the synergy of multiple factors, primarily the emergence of the fundamentally new computational capabilities, use of contemporary concepts of simulation investigations, a combination of the simulation modeling with the multi-factor optimization, the use of the model as a solver, are proposed. The ability to conduct optimizing experiments with the model allows to find and recommend the best ways of the system development. The effectiveness of the simulation experiments application is shown in this article for the optimal planning of the oil refining company output. The technique of the optimal solution finding in the modeling environment by means of the connection of the IOSO multiparameter optimization software to the GPSS Studio modeling environment was successfully tested. Based on the results of the work, it was concluded that in the future the technique of optimal solution finding will allow use of the simulation model as an automatic “intellectual solver” in automatic production planning processes. The analysis and estimations performed showed that the integrated use of all new possibilities ensures the synchronization of the model execution time and the required time bounds of the management solution production. The conclusion about the beginning of active use of the simulation modeling method for the complex systems operational control is made.
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