The SmarTwin project aims to define and explore an innovative service model with two main strategic objectives: on the one hand, to anticipate needs arising from both the market (growing demand for quality and consumer awareness) and the business world (cost reduction, environmental sustainability, optimization); on the other hand, to identify and begin to occupy a strategic convergence space related to future and emerging trends in a number of key enabling technologies such as Artificial Intelligence, IoT, Digital Twin and others. The basic idea is to enable supply chains (and especially those dealing with perishable goods) to achieve new levels of efficiency in terms of overall quality and service cost reduction, certification and tracking of each activity carried out in the production process, minimization of human health risks and reduction of the ecological footprint of products. The supporting software platform of the project has been designed on AI (Artificial Intelligence) components and will extend a number of key enabling technologies such as IoT, Blockchain, AI and Digital Twin to be able to represent and manage the new levels of complexity expected to be required to effectively address the market needs identified.
Design the modern supply chain: The SmarTwin Project
Di Capua M.;Di Nardo E.;Ciaramella A.;Iannuzzo G.;
2024-01-01
Abstract
The SmarTwin project aims to define and explore an innovative service model with two main strategic objectives: on the one hand, to anticipate needs arising from both the market (growing demand for quality and consumer awareness) and the business world (cost reduction, environmental sustainability, optimization); on the other hand, to identify and begin to occupy a strategic convergence space related to future and emerging trends in a number of key enabling technologies such as Artificial Intelligence, IoT, Digital Twin and others. The basic idea is to enable supply chains (and especially those dealing with perishable goods) to achieve new levels of efficiency in terms of overall quality and service cost reduction, certification and tracking of each activity carried out in the production process, minimization of human health risks and reduction of the ecological footprint of products. The supporting software platform of the project has been designed on AI (Artificial Intelligence) components and will extend a number of key enabling technologies such as IoT, Blockchain, AI and Digital Twin to be able to represent and manage the new levels of complexity expected to be required to effectively address the market needs identified.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
