Discrete event simulation combined with multi-criteria decision analysis applied to steel plant logistics system planning

T. B. Brito, R. Silva, R. Botter, N. N. Pereira, A. C. Medina
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引用次数: 19

Abstract

This paper aims the development and employment of a computational tool to support strategic decisions about the planning and sizing of the logistics and production elements of a steel plant (stockyards, transportation fleet, etc.). This tool corresponds to a hybrid software application able to analyze and evaluate the complex logistic problem proposed by combining the techniques of Discrete Event Simulation (DES) Modeling and Multiple Criteria Decision Analysis (MCDA). Also, are presented the proposed steel plant logistic system characteristics, as well as the methodologies applied to build the computational tool and to analyze the simulation results. The study concludes that the DES model combined with MCDA methodology is highly efficient regarding complex logistic systems major characteristics assessment.
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离散事件仿真结合多准则决策分析在钢铁厂物流系统规划中的应用
本文旨在开发和使用一种计算工具,以支持有关钢铁厂(堆场,运输车队等)的物流和生产要素的规划和规模的战略决策。该工具对应于一种混合软件应用程序,能够通过结合离散事件模拟(DES)建模和多准则决策分析(MCDA)技术来分析和评估复杂的逻辑问题。此外,还介绍了所提出的钢铁厂物流系统的特点,以及建立计算工具和分析仿真结果的方法。研究表明,结合MCDA方法的DES模型对于复杂物流系统的主要特征评估是高效的。
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