支持人工智能的制造业企业信息系统

IF 4.4 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2021-07-14 DOI:10.1080/17517575.2021.1941275

Milan Zdravković, H. Panetto, G. Weichhart

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引用次数: 24

摘要

本文考虑了企业信息系统的功能架构，并对人工智能在客户关系管理、供应链管理、库存与物流、生产计划与调度、财务与会计、产品生命周期管理和人力资源等方面的应用进行了综述，特别关注了制造企业。增强的功能被识别并作为AI服务提出。人工智能支持通过使用机器学习模型或基于逻辑的系统实现改进的决策或自动化。它是一个企业转型的过程，导致四大颠覆性技术，即工业物联网、基于agent的分布式系统、云计算和人工智能的融合。

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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AI-enabled Enterprise Information Systems for Manufacturing

ABSTRACT This paper considers Enterprise Information Systems functional architecture and carries out review of AI applications integrated in Customer Relationship Management, Supply Chain Management, Inventory and logistics, Production Planning and Scheduling, Finance and accounting, Product Lifecycle Management and Human Resources, with special attention to the manufacturing enterprises. Enhanced capabilities are identified and proposed as AI services. AI-enablement implements improved decision-making or automation by using Machine Learning models or logic-based systems. It is a process of the enterprise transformation leading to the convergence of the four major disruptive technologies, namely Industrial Internet of Things, Agent-based Distributed Systems, Cloud Computing and Artificial Intelligence.

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来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.