A MaaS platform architecture supporting data sovereignty in sustainability assessment of manufacturing systems

Landolfi, Giuseppe and Barni, Andrea Francesco and Izzo, Gabriele and Fontana, Alessandro and Bettoni, Andrea (2019) A MaaS platform architecture supporting data sovereignty in sustainability assessment of manufacturing systems. Procedia Manufacturing, 38. pp. 548-555. ISSN 23519789

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Abstract

The digitalization of industrial processes together with the broad integration of IoT infrastructures across production systems, are drastically impacting manufacturing value chains and the business models built on the top of them. Starting from the idea of dematerializing production resources and of embracing servitization, this paper describes the architecture behind a platform in the Manufacturing as a Service (MaaS) domain, creating an ecosystem that acts as a virtual marketplace bringing un-exploited production capacity, as well as other virtual and physical assets, closer to the production demand, to obtain their optimal matching. The platform creates a direct connection among manufacturing services providers, the technologies they integrate, and the products/resources customers are looking for. As the measurement of the sustainability performances of products and companies is a relevant element in the service/product selection process, the platform supports the automated acquisition of manufacturing data, their elaboration through an LCA based engine and the aggregation into indicators. Such indicators are used to sort suppliers into the sustainability perspective and/or provide means of communication of impacts generated by manufacturing. As a data rich platform, it integrates the INTERNATIONAL DATA SPACES (IDS) connector to link different entities through secure exchange and trusted sharing of data, thus supporting data sovereignty. The integration of the IDS reference architecture forms the basis for data privacy and security offering trust between platform participants and guaranteeing for data creators, respect to who is using their data, for how long, for which application, how many times and according to which terms & conditions.

Item Type:	Scientific journal article, Newspaper article or Magazine article
Subjects:	Business and administrative studies
Department/unit:	Dipartimento tecnologie innovative > Istituto sistemi e tecnologie per la produzione sostenibile
Depositing User:	Sara Masiero
Date Deposited:	20 Jul 2021 12:18
Last Modified:	20 Jul 2021 12:18
URI:	http://repository.supsi.ch/id/eprint/12675

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