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Journal Articles Enterprise Information Systems Year : 2022

AI-enabled Enterprise Information Systems for Manufacturing

Milan Zdravković
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Georg Weichhart
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Research work presented in this paper considers the contemporary Enterprise Information Systems (EIS) functional architecture and carries out the literature 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. As a review outcome, the enhanced capabilities are identified in each of those processes and proposed as AI services. AI-enablement is related to the capabilities of the enterprise to implement improved decision making or automation by using (a) Machine Learning (ML) models or (b) logicbased systems. It is a process of the enterprise transformation leading to the convergence of the 4 major disruptive technologies, namely Industrial Internet of Things (or Cyber-Physical Systems), Agent-based Distributed Systems, Cloud Computing and Artificial Intelligence (non-symbolic AI like Machine Learning, Neural Networks; symbolic AI like Reasoning and Logic/Model-based AI).
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Dates and versions

hal-03286677 , version 1 (15-07-2021)



Milan Zdravković, Hervé Panetto, Georg Weichhart. AI-enabled Enterprise Information Systems for Manufacturing. Enterprise Information Systems, 2022, 16 (4), pp.688-720. ⟨10.1080/17517575.2021.1941275⟩. ⟨hal-03286677⟩
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