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基于人工智能的ERP设备管理系统中的预测性维护研究

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本文探讨了在ERP设备管理系统中应用人工智能(AI)技术进行预测性维护的研究.重点分析了如何通过AI驱动的预测算法优化维护计划、减少设备停机时间并提高运营效率.本文特别关注数码设计元素,展示了实时数据分析和预测模型如何为ERP系统带来更具动态性和响应性的维护模式.目标是建立一种能够无缝集成现有ERP架构的预测性维护框架,从而改善决策过程和资产管理.
Research on Predictive Maintenance in ERP Equipment Management System based on Artificial Intelligence
This paper discusses the research of applying artificial intelligence(AI)technology for predictive maintenance in ERP equipment management system.It focuses on how AI-driven predictive algorithms can optimize maintenance schedules,reduce equipment downtime,and improve operational efficiency.With a special focus on digital design elements,this paper shows how real-time data analytics and predictive modeling can lead to a more dynamic and responsive maintenance model for ERP systems.The goal is to build a predictive maintenance framework that seamlessly integrates with existing ERP architectures to improve decision-making processes and asset management.

AI-based ERPpredictive maintenancedigital designfacility managementreal-time data analyticspredictive modeling

席国芳、李洪宇、戚玮

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昆仑数智科技有限责任公司,北京 102200

基于人工智能的ERP 预测性维护 数码设计 设备管理 实时数据分析 预测模型

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(16)