The aim of the current project is to bring about the development of the full demonstrator of DiCiM, a set of integrated digital solutions that makes use of Internet of Things (IoT), Machine Learning (ML) based Artificial Intelligence (AI), Big Data, Image Processing and Augmented Reality (AR) to support different actors of the industrial value chain such as managers, engineers and operators in their decision making and to carry out value recovery activities for circular economy. The integrated digital solutions include an open access digital platform for lifecycle information management and support solutions for value recovery activities.
DiCiM project revolves around the value use and value recovery phases of the Circular Value Model (CVM) with the specific data, technology and the management needed to support its implementation. In particular, it focuses on integrated digital solutions to enabling condition monitoring during the use phase, optimizing the reverse logistics, and achieving efficiency and responsiveness in the value recovery activities (i.e., collection, inspection, sorting, disassembly, testing and repairing/refurbishing/remanufacturing/recycling) to enable reuse of products, parts and materials.
DiCiM project will demonstrate integrated digital solutions in four use cases in three industrial sectors that represent over two thirds of the European Economy. They include whitegoods (i.e., refrigerators, washing machines), electronics (i.e. printers) and automotive. DiCiM digital solutions will boost new circular economy business models based on value recovery activities to sustain and encourage remanufacturing throughout Europe.

Cíle udržitelného rozvoje

Masarykova univerzita se hlásí k cílům udržitelného rozvoje OSN, jejichž záměrem je do roku 2030 zlepšit podmínky a kvalitu života na naší planetě.