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            Models, Methods and Tools for Product Service Design

            The Manutelligence Project

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            Contributor(s)
            Cattaneo, Laura (editor)
            Terzi, Sergio (editor)
            Language
            English
            Afficher la notice complète
            Résumé
            This open access book summarizes research being pursued within the Manutelligence project, the goal of which is to help enterprises develop smart, social and flexible products with high value added services. Manutelligence has improved Product and Service Design by developing suitable models and methods, and connecting them through a modular, collaborative and secure ICT Platform. The use of real data collected in real time by Internet of Things (IoT) technologies underpins the design of product-service systems and makes it possible to monitor them throughout their life cycle. Available data allows costs and sustainability issues to be more accurately measured and simulated in the form of Life Cycle Cost (LCC) and Life Cycle Assessment (LCA). Analysing data from IoT systems and sharing LCC and LCA information via the ICT Platform can help to accelerate the design of product-service systems, reduce costs and better understand customer needs. Industrial partners involved in Manutelligence provide a clear overview of the project’s outcomes, and demonstrate how its technological solutions can be used to improve the design of product-service systems and the management of product-service life cycles.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/182307
            Keywords
            Engineering; Manufactures; Computational intelligence; Artificial intelligence; Service industries; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNS Hospitality and service industries; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
            DOI
            10.1007/978-3-319-95849-1
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2019
            Series
            SpringerBriefs in Applied Sciences and Technology,
            Pages
            143
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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