面向面向仿真建模的基于云的SME数据适配器

James Byrne, P. J. Byrne, D. Ferreira, A. Ivers
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引用次数: 7

摘要

离散事件模拟(DES)是大公司广泛而有效地使用的一种技术,但由于其复杂性和相关成本过高,中小型企业(SMEs)并未广泛使用该技术。在中小企业中,与DES相关的数据可以以各种格式存储,并且并不总是很明显需要什么数据(如果有的话)来支持与特定问题场景相关的DES模型。因此,为了避免由于不正确的假设或实际输入数据而产生错误结果的可能性,DES数据收集和准备阶段需要的复杂性和工作量是最高的。建议的解决方案是一个基于云的适配器,它可以识别并连接到现有的数据源和/或填补与定义的问题场景相关的数据空白,从而降低中小企业从DES研究中获益的障碍,因为它降低了复杂性和工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a cloud based SME data adapter for simulation modelling
Discrete event simulation (DES) is a technique used extensively and effectively by large companies, however it is not widely used by small to medium sized enterprises (SMEs) due to complexity and related costs being prohibitively high. In SMEs, DES-related data can be stored in a variety of formats and it is not always evident what data is required (if even available) to support a DES model in relation to specific problem scenarios. Therefore the DES data gathering and preparation phase is where complexity and effort required are highest in order to avoid the potential for erroneous results due to incorrect assumed or real input data. The proposed solution is a Cloud-based adapter that can identify and connect to existing data sources and/or fills gaps in data in relation to defined problem scenarios, thus lowering the barriers for SMEs to gain benefit from DES studies due to reduced complexity and effort.
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