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Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 690))

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Abstract

Artificial Intelligence (AI) in manufacturing has received significant attention in recent years due to its potential to assist manufacturing teams in monitoring projects, identifying defects and potential risks, and improving complex workflows and processes. Traditionally, manufacturing projects have been highly knowledge intensive, involving security-conscious processes, and internal and external actors. As AI solutions become more cost-effective and are deployed as assistive tools to support teams in projects, their deployment in manufacturing can be realized. This paper presents a conceptual framework that introduces how AI can enhance the efficiency of manufacturing projects and be successfully applied to projects. A review of extant literature on AI in manufacturing projects is presented and an empirical investigation with 10 manufacturing project managers and AI subject matter experts from engineering organizations in the UK is given. The proposed framework outlines how AI can be applied to manufacturing projects, encompassing both the necessities of projects for the application of AI, and the necessities of AI for their in manufacturing projects. Finally, managerial implications are provided for manufacturing leaders and project managers.

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Correspondence to Aymane Sahli .

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Sahli, A., Pei, E., Evans, R. (2023). A Conceptual Framework for Applying Artificial Intelligence to Manufacturing Projects. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-031-43666-6_44

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  • DOI: https://doi.org/10.1007/978-3-031-43666-6_44

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  • Print ISBN: 978-3-031-43665-9

  • Online ISBN: 978-3-031-43666-6

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