B-LOCS aims at monitoring the analyses performed on the laboratory software and at detecting whether the raw data have been altered by anomalies resulting from protocol errors or actions that do not comply with the GMP rules. B-LOCS records in real time the events that occur on the files from the lab software and sends them to a smart contract on a blockchain. In order to properly report the status of the analysis, the business logic of each software (for file creation or invalid action events - e.g. file deletion) is recorded immutably in a Smart-Contract. Any deviation is reported and triggers real time configurable alarms. The strength of this approach lies in the trust provided by the Smart-Contract running on the blockchain: it contains the business logic that decides whether the latest event impacts the validity of a laboratory analysis performed. There is no way to bypass this GMP-relevant business logic; no way to override the B-LOCS and the history of the blockchain.

European manufacturing SMEs represent a major pillar of the EU economy but, even though some of these SMEs are world’s champion in their own business area, they are still threatened by the lack of radical technical innovation as well as successive crises of their supply chains. The MARS project aims to remedy to both issues by enabling SMEs to access advanced European breakthrough innovations in the field of AI-driven digital manufacturing processes and enter into process chains that are geographically distributed. Specifically, by gathering diverse expertise coming from complementary European partners, MARS will develop Industry4.0 emerging technologies including digital twins of products, processes and machines, bio-intelligent production devices with local intelligence and high sensing coverage, central intelligence with fleet learning approaches, data-driven manufacturing process models from different sources, blockchain technology for data hashing, traceability and securitization, multi-agent based manufacturing planning, multi-criteria intelligent optimization of processes and resources especially addressing environmental footprint. As a result, the impact of the project will lie into introducing radical flexibility in all different aspects of manufacturing processes, in particular by redefining the process route, raw material, resources, technology, throughput, manufacturing site, delivery date in no time, while keeping up with product’s requirements, proven product quality and sustainability of both processes and products. By demonstrating its results on two case studies exhibiting advanced manufacturing processes (incl. homogeneous and heterogenous data), MARS will show how SMEs can decrease time delivery under difficult economical boundary conditions, while targeting ambitious energy-saving environmental objectives.