Semantic Scholar Open Access 2021 94 sitasi

AI-enabled Enterprise Information Systems for Manufacturing

Milan Zdravković H. Panetto G. Weichhart

Abstrak

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.

Topik & Kata Kunci

Penulis (3)

M

Milan Zdravković

H

H. Panetto

G

G. Weichhart

Format Sitasi

Zdravković, M., Panetto, H., Weichhart, G. (2021). AI-enabled Enterprise Information Systems for Manufacturing. https://doi.org/10.1080/17517575.2021.1941275

Akses Cepat

Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
94×
Sumber Database
Semantic Scholar
DOI
10.1080/17517575.2021.1941275
Akses
Open Access ✓