HLA-based time management and synchronization framework for lean manufacturing tools evaluation

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
J. Possik, G. Zacharewicz, Anne Zouggar, B. Vallespir
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引用次数: 2

Abstract

Discrete event simulation (DES) is a method for digitally replicating the behavior and performance of real-world processes, systems, and facilities. DES is widely applied in manufacturing, logistics, healthcare, and military domains. In some cases, DES method is insufficient. On one hand, the simulation must be disassembled into subsystems and then distributed on a multiprocessing environment to enhance the simulation performance. On the other hand, to expand current functionality and prevent future application development, a set of interacting simulations is required. In this project, the IEEE high-level architecture (HLA) standard mechanisms are adopted to solve the interoperability problems between heterogeneous components. Time synchronization between federates is essential to have all DESs running in parallel. In this paper, we present a distributed simulation framework designed to assist decision-makers in making the best decisions and prioritizing the adoption of Lean tools and techniques.
基于hla的时间管理和同步框架的精益制造工具评价
离散事件模拟(DES)是一种以数字方式复制现实世界过程、系统和设施的行为和性能的方法。DES广泛应用于制造业、物流、医疗保健和军事领域。在某些情况下,DES方法是不够的。一方面,为了提高仿真性能,必须将仿真分解成多个子系统,然后分布在多处理环境中。另一方面,为了扩展当前功能并防止未来的应用程序开发,需要一组交互模拟。本项目采用IEEE HLA (high-level architecture)标准机制解决异构组件间的互操作问题。联邦之间的时间同步对于使所有DESs并行运行至关重要。在本文中,我们提出了一个分布式模拟框架,旨在帮助决策者做出最佳决策并优先采用精益工具和技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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