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Data-Driven Maintenance Delivery Framework: Test in an Italian Company

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Advances in Production Management Systems. Towards Smart and Digital Manufacturing (APMS 2020)

Abstract

Many manufacturing companies are now facing the transition towards the development of a structured service offering in the servitization fashion. Especially in the case of a service like maintenance, the definition of a coherent process, able to collect and exploit in the right way the data from the field for decision-making scopes constitutes the base to run an economically sustainable offering. The authors proposed a structured framework that, considering a dual perspective (asset and service), aims to address this problem and to improve the maintenance decision-making. The paper, using as a case study an Italian manufacturing company willing to accelerate its servitization process, addresses the testing and improvement of the framework. Company A service department’s employees were interviewed in the scope of validating the framework and identify improvements for its structure and the related decision-making instruments.

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Acknowledgments

This research is supported by the French region AURA, via the international project ‘Collaboration Franco-italienne pour une industrialisation durable des territoires’. The paper was inspired by the activity of the ASAP SMF, an industry-academia community aimed at developing knowledge and innovation in product-services and service management (www.asapsmf.org).

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Correspondence to Roberto Sala .

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Sala, R., Pirola, F., Pezzotta, G. (2020). Data-Driven Maintenance Delivery Framework: Test in an Italian Company. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-030-57997-5_38

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  • DOI: https://doi.org/10.1007/978-3-030-57997-5_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57996-8

  • Online ISBN: 978-3-030-57997-5

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