协同生产系统的数字工厂

Michel Pouly, S. Berthold
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引用次数: 1

摘要

企业资源规划(ERP)系统为工业公司提供信息管理和分析,并支持他们的计划活动,这些活动目前是基于参数的理论值(平均值),如不同生产单元的在制品数量、不同操作的交货时间和机器负载,而不是基于实际的、真实的车间数据。这可能会大大扰乱计划活动,因为在制品被考虑在内,机器负载会严重影响交货时间。在制造商、供应商和客户之间共享数据对于满足市场期望变得非常重要。本文提出了满足这些要求的软件解决方案和自动捕获必要的相应车间信息的方法,并比较了RFID,图像和语音处理等不同技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital factory for collaborative production systems
Enterprise Resource Planning (ERP) systems provide information management and analysis to industrial companies and support their planning activities that are currently based on theoretical values (averages) of parameters like the amount of WIP at different production cells, lead times of different operations and machine load and not on the actual, real shop floor data. This can considerably disturb the planning activities as WIP are taken into account and the machine load can heavily affect the lead times. Sharing data between manufacturers, suppliers and customers becomes very important to fulfil the expectations of the market. This paper proposes software solutions to address these requirements and methods to automatically capture the necessary corresponding shop floor information and compares different technologies like RFID, image and voice processing.
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