作者
Fátima Leal, Adriana E. Chis, Simon Caton, Horacio González– Vélez, Juan M. García– Gómez, Marta Durá, Angel Sánchez– García, Carlos Sáez, Anthony Karageorgos, Vassilis C. Gerogiannis, Apostolos Xenakis, Efthymios Lallas, Theodoros Ntounas, Eleni Vasileiou, Georgios Mountzouris, Penelope Pucci Barbara Otti, Rossano Papini, David Cerrai, Mariola Mier
发表日期
2021
期刊
Big Data Research
出版商
Elsevier
简介
Production lines in pharmaceutical manufacturing generate numerous heterogeneous data sets from various embedded systems which control the multiple processes of medicine production. Such data sets should arguably ensure end-to-end traceability and data integrity in order to release a medicine batch, which is uniquely identified and tracked by its batch number/code. Consequently, auditable computerised systems are crucial on pharmaceutical production lines, since the industry is becoming increasingly regulated for product quality and patient health purposes. This paper describes the EU-funded SPuMoNI project, which aims to ensure the quality of large amounts of data produced by computerised production systems in representative pharmaceutical environments. Our initial results include significant progress in: (i) end-to-end verification taking advantage of blockchain properties and smart contracts to …
引用总数