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Artificial Intelligence to Support Collaboration in the Industrial Equipment Life Cycle

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Collaborative Networks in Digitalization and Society 5.0 (PRO-VE 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 688))

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Abstract

This paper explores the potential of artificial intelligence (AI) to support collaboration in the industrial equipment life cycle. The industrial equipment industry involves complex multidisciplinary collaboration with suppliers and customers across many machinery life cycle stages, including design, manufacturing, use and end-of-life. This paper conceptualises a set of AI-enabled digital solutions within the AIDEAS European project scope. With a case study of an industrial equipment company, we illustrate how AI solutions can be used to support collaboration in the supply chain across machinery life cycles.

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Acknowledgement

The research that led to these findings received funding from the Horizon Europe Framework Programme (HORIZON) with Grant Agreement No. 101057294 "AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability, and Resilience (AIDEAS)", the Regional Department of Innovation, Universities, Science, and Digital Society of the Generalitat Valenciana "Programa Investigo" (ref. INVEST/2022/330), which the European Union supported - NextGenerationEU under the Plan de Recuperación, Transformación y Resiliencia.

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Authors and Affiliations

  1. Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València (UPV), Camino de Vera S/N, 46022, Valencia, Spain

    B. Andres, M. A. Mateo-Casali, J. P. Fiesco & Raúl Poler

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  1. B. Andres
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  2. M. A. Mateo-Casali
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  3. J. P. Fiesco
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  4. Raúl Poler
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Corresponding author

Correspondence to B. Andres .

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Editors and Affiliations

  1. Universidade Nova de Lisboa, Monte Caparica, Portugal

    Luis M. Camarinha-Matos

  2. Mines Saint-Étienne, Univ Clermont, Saint-Étienne, France

    Xavier Boucher

  3. Polytechnic University of Valencia, Valencia, Spain

    Angel Ortiz

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Andres, B., Mateo-Casali, M.A., Fiesco, J.P., Poler, R. (2023). Artificial Intelligence to Support Collaboration in the Industrial Equipment Life Cycle. In: Camarinha-Matos, L.M., Boucher, X., Ortiz, A. (eds) Collaborative Networks in Digitalization and Society 5.0. PRO-VE 2023. IFIP Advances in Information and Communication Technology, vol 688. Springer, Cham. https://doi.org/10.1007/978-3-031-42622-3_50

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  • DOI: https://doi.org/10.1007/978-3-031-42622-3_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42621-6

  • Online ISBN: 978-3-031-42622-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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