人工智能方法在可重构元胞制造系统(RCMS)设计与分析中的应用

Bo Xing, F. Nelwamondo, Kimberly Battle, Wen-jing Gao, T. Marwala
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引用次数: 16

摘要

本文研究了一种新型混合制造系统——可重构元胞制造系统(RCMS)的设计与控制。它结合了元胞制造系统(CMS)和可重构制造系统(RMS)的优点,是一种混合型制造系统。除了继承CMS和RMS的理想属性之外,RCMS还提供了额外的好处,包括灵活性和在其使用寿命期间响应不断变化的产品、产品组合和市场条件的能力,避免了制造系统的过早过时。本研究的重点是可重构制造单元(RMC)的形成,RMC是由特定客户订单驱动的一些制造资源的动态和逻辑集群,旨在与rcm中的其他RMC一起最佳地完成客户订单。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS)
This work focuses on the design and control of a novel hybrid manufacturing system: Reconfigurable Cellular Manufacturing System (RCMS) by using Artificial Intelligence (AI) approach. It is hybrid as it combines the advantages of Cellular Manufacturing System (CMS) and Reconfigurable Manufacturing System (RMS). In addition to inheriting desirable properties from CMS and RMS, RCMS provides additional benefits including flexibility and the ability to respond to changing products, product mix and market conditions during its useful life, avoiding premature obsolescence of the manufacturing system. The emphasis of this research is the formation of Reconfigurable Manufacturing Cell (RMC) which is the dynamic and logical clustering of some manufacturing resources, driven by specific customer orders, aiming at optimally fulfilling customers' orders along with other RMCs in the RCMS.
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