范围(计算机科学)
计算机科学
领域(数学)
离散事件仿真
决策支持系统
仿真建模
自治
管理科学
钥匙(锁)
事件(粒子物理)
建模与仿真
运筹学
风险分析(工程)
过程管理
数据科学
工程类
模拟
计算机安全
业务
人工智能
经济
物理
微观经济学
量子力学
程序设计语言
法学
纯数学
数学
政治学
作者
Carlos Santos,José Arnaldo Barra Montevechi,José Antônio de Queiroz,Rafael de Carvalho Miranda,Fabiano Leal
标识
DOI:10.1080/00207543.2021.1898691
摘要
The use of simulation to support decision-making in productive processes (goods and services) is already an established research field. However, with the availability of solutions and technologies, simulation is no longer a tool with limited scope and analysis. In this case, the integration of simulation with physical systems is considered to allow virtual models to be sensitive to physical changes and aligned with the current state of processes, forming the so-called Digital Twin. Therefore, the main purpose of this article is to present a systematic literature review of the use of simulation as Digital Twin to support decision-making. We considered studies published in scientific journals and conference proceedings that include the use of Discrete Event Simulation (DES) and/or Agent-Based Simulation (ABS). Although the Digital Twin concept has appeared in recent years, we noted that its principle has been used for decades when it comes to decision-making through simulation. Moreover, there are still many discussions and uncertainties regarding the simulation model in this research field, such as the degree of autonomy, synchronisation, and connection. These and other key issues are discussed and some research opportunities are highlighted, such as the need for constant model validation and integration between various models.
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