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.

KEYWORDS:

• Enterprise information system
• artificial intelligence
• machine learning
• formal logic reasoning
• cyber-physical systems
• agent-based systems

Acknowledgments

This work has been partially supported by the European Union and the State of Upper Austria within the strategic programme Innovative Upper Austria 2020 & #upperVision2030, project: WI-2020-578813/4 ‘DigiManu (Extended 2021)’. A part of the financial support came from the Ministry of Education, Science and Technological Development of the Republic of Serbia (Contract No. 451-03-9/2021-14/200109).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1. http://fipa.org/

2. http://fipa.org/