分布式供应链仿真的文献综述

N. Mustafee, Korina Katsaliaki, Simon J. E. Taylor
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引用次数: 9

摘要

M&S是一种决策支持技术,使利益相关者能够做出更好、更明智的决策;将其应用到供应链中称为供应链仿真。数字时代日益相互关联的企业通过利用现有的技术基础、标准和工具(例如,计算机网络、数据共享标准、协同工作工具),从协作决策中受益。分布式供应链仿真(DSCS)使单个业务流程/组织的仿真模型能够在计算机网络上协同执行,从而促进了这种集体决策的制定。本研究的目的是确定DSCS的进展及其目前的发挥状态。为了实现这一目标,我们提出了文献的方法学回顾,并补充了我们在供应链和并行和分布式仿真领域的特定知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of literature in distributed supply chain simulation
M&S is a decision support technique that enables stakeholders to make better and more informed decisions; application of this to supply chains is referred to as supply chain simulation. The increasingly interconnected enterprise of the digital age benefit from cooperative decision making through the utilization of existing technological foundations, standards and tools (e.g., computer networks, data sharing standards, tools for collaborative working). Distributed Supply Chain Simulation (DSCS) facilitates such collective decision making by enabling simulation models of individual business processes/organizations to execute cooperatively over a computer network. The aim of this research is to identifying the advances in DSCS and its present state of play. Towards realization of this aim we present a methodological review of literature and complement this with our domain-specific knowledge in supply chains and parallel and distributed simulation.
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