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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

DAT4.ZERO Training materials

Supplier selection, qualification, evaluation and improvement

Demonstration of Supplier selection, qualification, evaluation and improvement

project Website

Roadmap and best practice document for transformation of conventional quality management to DQM for modern manufacturing industry
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

Data Management Plan

Pilot on Open Research Data

Pubblicazioni

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

Digitally Enhanced Quality Management for Zero Defect Manufacturing

Autori: Daryl Powell, Ragnhild Eleftheriadis, Odd Myklebust
Pubblicato in: Procedia CIRP, 2021, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2021.11.227

A global survey on the current state of practice in Zero Defect Manufacturing and its impact on production performance

Autori: Giuseppe Fragapane, Ragnhild Eleftheriadis, Daryl Powell, Jiju Antony
Pubblicato in: Computers in Industry, 2023, ISSN 0166-3615
Editore: Elsevier BV
DOI: 10.1016/j.compind.2023.103879

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 blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing

Autori: Mauro Isaja, Phu Nguyen, Arda Goknil, Sagar Sen, Erik Johannes Husom, Simeon Tverdal, Abhilash Anand, Yunman Jiang, Karl John Pedersen, Per Myrseth, Jørgen Stang, Harris Niavis, Simon Pfeifhofer, Patrick Lamplmair
Pubblicato in: Computers in Industry, 2023, ISSN 0166-3615
Editore: Elsevier BV
DOI: 10.1016/j.compind.2023.103853

Data Pre-processing and Sensor-Fusion for Multivariate Statistical Process Control of an Extrusion Process

Autori: Frank Westad, Lars Lodgaard, Torbjørn Pedersen
Pubblicato in: SEA4DQ 2023: Proceedings of the 3rd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2023, ISSN 0004-5411
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3617573.3618029

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

UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing

Autori: Erik Johannes Husom, Simeon Tverdal, Arda Goknil, Sagar Sen
Pubblicato in: CAIN '22: Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022, ISSN 1544-3566
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3522664

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

Edge-based Data Profiling and Repair as a Service for IoT

Autori: Simeon Tverdal, Arda Goknil, Phu Nguyen, Erik Johannes Husom, Sagar Sen, Jan Ruh, Francesca Flamigni
Pubblicato in: IoT '23: Proceedings of the 13th International Conference on the Internet of Things, 2024
Editore: Association for Computing Machinery
DOI: 10.1145/3627050.3627065

Reconfiguration of Quality Gates Based on Part Variation Modes in Multi-stage Manufacturing Systems

Autori: Ozan Emre Demir, Maria Chiara Magnanini, Marcello Colledani & Davar Hemyari
Pubblicato in: Production Processes and Product Evolution in the Age of Disruption, 2023
Editore: Springer, Cham
DOI: 10.1007/978-3-031-34821-1_27

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

REPTILE: a Tool for Replay-driven Continual Learning in IIoT

Autori: Erik Johannes Husom, Sagar Sen, Arda Goknil, Simeon Tverdal, Phu H. Nguyen
Pubblicato in: IoT '23: Proceedings of the 13th International Conference on the Internet of Things, 2024
Editore: Association for Computing Machinery
DOI: 10.1145/3627050.3630739

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

Automated Behavior Labeling for IIoT Data

Autori: Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Sagar Sen, Phu H. Nguyen
Pubblicato in: IoT '23: Proceedings of the 13th International Conference on the Internet of Things, 2024
Editore: Association for Computing Machinery
DOI: 10.1145/3627050.3630725

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

AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization

Autori: Lwin Khin Shar; Arda Goknil; Erik Johannes Husom; Sagar Sen; Yan Naing Tun; Kisub Kim
Pubblicato in: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
Editore: IEEE
DOI: 10.1109/ase56229.2023.00094

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

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

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