Building a Reusable Data Model to Support Systematic Layout Planning with Discrete Event Simulation of Flexible Manufacturing Systems

IF 0.5 Q4 ENGINEERING, CHEMICAL
Z. Molnár, P. Tamás, B. Illés
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引用次数: 2

Abstract

Manufacturing has undergone a greater change in recent years than it has over almost the entire past century. Due to the variety of products, shortening delivery times and changing customer habits, the COVID-19 pandemic has demanded greater flexibility from manufacturing companies than ever before. One of the fundamental parts of manufacturing flexibility is the design of manufacturing layouts, which has so far not followed automation and methodological developments with regard to technological areas of manufacturing. In this article, a new method for supporting traditional factory design methods with digital manufacturing tools is introduced.
基于离散事件仿真的柔性制造系统布局规划可重用数据模型的构建
近年来,制造业经历了比过去几乎整个世纪都要大的变化。由于产品种类繁多,交货时间缩短,客户习惯不断变化,2019冠状病毒病大流行要求制造企业比以往任何时候都更灵活。制造柔性的一个基本部分是制造布局的设计,到目前为止,在制造技术领域,它还没有跟上自动化和方法论的发展。本文介绍了一种用数字化制造工具支持传统工厂设计方法的新方法。
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
自引率
50.00%
发文量
9
审稿时长
6 weeks
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