Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems

Informazioni relative al progetto

DAT4.ZERO

ID dell’accordo di sovvenzione: 958363

DOI 10.3030/958363

Progetto chiuso

Data della firma CE 10 Agosto 2020

Data di avvio 1 Ottobre 2020

Data di completamento 31 Marzo 2024

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Costo totale € 11 815 903,75

Contributo UE € 9 886 512,63

Coordinato da

SINTEF MANUFACTURING AS
Norway

Risultati finali

Other (1)

DAT4.ZERO Training materials

Demonstrators, pilots, prototypes (1)

Supplier selection, qualification, evaluation and improvement

Demonstration of Supplier selection, qualification, evaluation and improvement

Websites, patent fillings, videos etc. (1)

project Website

Documents, reports (2)

Handbook online and internal web portal for partners interaction
Framework for a new European approach towards a system-level ZDM solution

This deliverable defines the specifications of the different layers composing the DAT4.ZERO platform and corresponding modules to support the TO-BE scenarios in the pilot lines

Pubblicazioni

Peer reviewed articles (9)

Development of an adaptive quality control loop in micro-production using machine learning, analytical gear simulation, and inline focus variation metrology for zero defect manufacturing

Autori: Daniel Gauder, Johannes Gölz, Niels Jung, Gisela Lanza
Pubblicato in: Computers in Industry, Numero 144, 2023, ISSN 0166-3615
Editore: Elsevier BV
DOI: 10.1016/j.compind.2022.103799

Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions

Autori: Daryl Powell, Maria Chiara Magnanini, Marcello Colledani, Odd Myklebust
Pubblicato in: Computers in Industry, Numero 136, 2022, ISSN 0166-3615
Editore: Elsevier BV
DOI: 10.1016/j.compind.2021.103596

Uncertainty-aware Virtual Sensors for Cyber-Physical Systems

Autori: Sagar Sen, SINTEF, Oslo, Norway Erik Johannes Husom, SINTEF, Oslo, Norway Arda Goknil, SINTEF, Oslo, Norway Simeon Tverdal, SINTEF, Oslo, Norway Phu Nguyen, SINTEF, Oslo, Norway
Pubblicato in: IEEE Software, Numero 1, 2023, Pagina/e 1-11, ISSN 1937-4194
Editore: IEEE Computer Society
DOI: 10.1109/ms.2023.3306873

A Systematic Review of Data Quality for CPS, IoT, or Industry 4.0 Applications

Autori: Phu Nguyen, Sagar Sen, Enrique Garcia-Ceja, Arda Goknil, Karl John Pedersen, Abdillah Suyuthi, Dimitra Politaki, Harris Niavis and Amina Ziegenbein
Pubblicato in: ACM Computing Surveys, Numero 55, 2023, Pagina/e 1-38, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3593043

Migrating monoliths to cloud-native microservices for customizable SaaS

Autori: Espen Tønnessen Nordli; Sindre Grønstøl Haugeland; Phu H. Nguyen; Hui Song; Franck Chauvel
Pubblicato in: Information and Software Technology, Numero 160, 2023, ISSN 0950-5849
Editore: Elsevier BV
DOI: 10.1016/j.infsof.2023.107230

Taming Data Quality in AI-Enabled Industrial Internet of Things

Autori: Sagar Sen; Erik Johannes Husom; Arda Goknil; Simeon Tverdal; Phu Nguyen; Iker Mancisidor
Pubblicato in: IEEE Software, Numero 6, 2022, Pagina/e 35-42, ISSN 0740-7459
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ms.2022.3193975

A decade of research on patterns and architectures for IoT security

Autori: Tanusan Rajmohan; Phu H. Nguyen; Nicolas Ferry
Pubblicato in: Cybersecurity, Numero 5, 2022, ISSN 2523-3246
Editore: Springer

In-Process Monitoring of Hobbing Process Using an Acoustic Emission Sensor and Supervised Machine Learning

Autori: Vivian Schiller; Sandra Klaus; Ali Bilen; Gisela Lanza
Pubblicato in: Algorithms, 16 (4), Art.-Nr.: 183, Numero 2, 2023, ISSN 1999-4893
Editore: MDPI Open Access Publishing
DOI: 10.3390/a16040183

Using the Process Digital Twin as a tool for companies to evaluate the Return on Investment of manufacturing automation

Autori: Chiara Caccamo; Paolo Pedrazzoli; Ragnhild Eleftheriadis; Maria Chiara Magnanini
Pubblicato in: Procedia CIRP, Numero 1, 2022, ISSN 2212-8271
Editore: Elsevier B.V. All
DOI: 10.1016/j.procir.2022.05.052

Book chapters (2)

Migrating Monoliths to Microservices-based Customizable Multi-tenant Cloud-native Apps

Autori: Sindre Gronstol Haugeland; Phu H. Nguyen; Hui Song; Franck Chauvel
Pubblicato in: 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Numero 3, 2021, Pagina/e 170-177, ISBN 978-1-6654-2705-0
Editore: IEEE
DOI: 10.1109/seaa53835.2021.00030

Context-driven Policies Enforcement for Edge-based IoT Data Sharing-as-a-Service

Autori: Huu-Ha Nguyen; Phu H. Phung; Phu H. Nguyen; Hong-Linh Truong
Pubblicato in: 2022 IEEE International Conference on Services Computing (SCC), Numero 3, 2022, Pagina/e 221-230, ISBN 978-1-6654-8146-5
Editore: IEEE
DOI: 10.1109/scc55611.2022.00041

Conference proceedings (6)

A Systematic Review of Secure IoT Data Sharing

Autori: Thanh Thao Thi Tran, Phu Nguyen, Gencer Erdogan
Pubblicato in: Proceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP, Numero 1, 2023, Pagina/e 95-105, ISBN 978-989-758-624-8
Editore: SciTePress
DOI: 10.5220/0011674200003405

A Hybrid Architecture for the Deployment of a Data Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0

Autori: Chiara Caccamo; Ragnhild J. Eleftheriadis; Maria Chiara Magnanini; Daryl Powell; Odd Myklebust
Pubblicato in: 2021
Editore: Springer
DOI: 10.1007/978-3-030-85906-0_8

Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things - SEA4DQ'22 Report

Autori: Phu H. Nguyen, Sagar Sen, Beatriz Bretones-Cassoli, Nicolas Jourdan, and Maria Chiara Magnanini
Pubblicato in: ACM SIGSOFT Software Engineering Notes, Numero 1, 2023, Pagina/e 108–111, ISSN 0163-5948
Editore: Association for Computing Machinery
DOI: 10.1145/3573074.3573103

The Effect of Digitalization and Human-Centric on Companies’ Production Performances

Autori: Paul Kengfai Wan, Endre Sølvsberg, Ragnhild Eleftheriadis & Giuseppe Fragapane
Pubblicato in: International Conference on Flexible Automation and Intelligent Manufacturing, 2023
Editore: Springer Link
DOI: 10.1007/978-3-031-38165-2_87

Human in the Data-Driven Zero Defect Manufacturing Loop: Case Examples from Manufacturing Companies

Autori: Emrah Arica, Manuel Oliveira, Torbjørn Pedersen, Felix Mannhardt & Odd Myklebust
Pubblicato in: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems, Numero 1, 2023, Pagina/e 789–796, ISBN 978-3-031-38164-5
Editore: Springer Link
DOI: 10.1007/978-3-031-38165-2_91

Effect of work-force availability on manufacturing systems operations of job shops

Autori: Maria Chiara Magnanini; Marcello Colledani; Oleksandr Melnychuk; Davide Caputo
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.1016/j.procir.2021.10.024

Non-peer reviewed articles (1)

Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report

Autori: Phu H. Nguyen; Sagar Sen; Nicolas Jourdan; Beatriz Cassoli; Per Myrseth; Mikel Armendia; Odd Myklebust
Pubblicato in: Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report, Numero 1, 2022, Pagina/e 26–29, ISSN 0163-5948
Editore: Association for Computing Machinery
DOI: 10.1145/3502771.3502781