Energy-aware Factory Analytics for Process Industries

Deliverables

Open Research Data Pilot (1)

Initial Data Management Plan

This report will describe the research data generated in the project and how they will be published.

Documents, reports (5)

Dissemination and Communication Activities Report V1

This deliverable will report on the dissemination and communciation activities during the first year of the project.

Cognitive Factory Framework

The conceptual framework for the development of Cognitive Digital Twins, focused on Cognitive Plants for Process Industries.

Standardisation Activities Report V1

This deliverable will report on the standardisation activities during the first year of the project.

Analytics System Requirements and Design Specification

pilot-specific requirements for analytics, together with the existing sources from sensors to data and meta-data.

Reference Scenarios, KPIs and Datasets

Reference scenarios, KPIs and initial datasets from all pilots.

Websites, patent fillings, videos etc. (1)

Project Website

This report will describe the design and deployment of the project website, in particular it aims it intends to reach, the targeted audiences, the structure and tools for online activities monitoring.

Publications

Book chapters (1)

Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems

Author(s): Jinzhi Lu, Xiaochen Zheng, Ali Gharaei, Kostas Kalaboukas, Dimitris Kiritsis
Published in: Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing - AMP 2020, 2020, Page(s) 105-115, ISBN 978-3-030-46211-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-46212-3_7

Conference proceedings (10)

A Knowledge Management Approach Supporting Model-Based Systems Engineering

Author(s): Pengfei YangJinzhi LuLei FengShouxuan WuGuoxin WangDimitris Kiritsis
Published in: WorldCIST 2021: Trends and Applications in Information Systems and Technologies pp 581-590, 2021
Publisher: Springer
DOI: 10.1007/978-3-030-72651-5_55

Scheduling Jobs on Unrelated Machines with Job Splitting and Setup Resource Constraints for Weaving in Textile Manufacturing.

Author(s): Scheduling Jobs on Unrelated Machines with Job Splitting and Setup Resource Constraints for Weaving in Textile Manufacturing.
Published in: APMS 2021: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems pp 424–434, 2021
Publisher: Springer
DOI: 10.1007/978-3-030-85874-2_45

Towards Actionable Cognitive Digital Twins for Manufacturing

Author(s): Jože M. Rožanec, Lu Jinzhi, Aljaž Košmerlj, Klemen Kenda, Kiritsis Dimitris, Viktor Jovanoski, Jan Rupnik, Mario Karlovčec, Blaž Fortuna
Published in: European Semantic Web Conference (ESWC2020), 2020
Publisher: Springer

STARdom: an architecture for trusted and secure human-centered manufacturing systems

Author(s): Rožanec, Jože M
Published in: "APMS - ""STARdom: an architecture for trusted and secure human-centered manufacturing systems."" IFIP International Conference on Advances in Production Management Systems. Springer, Cham, 2021.", 2021
Publisher: Springer
DOI: 10.1007/978-3-030-85910-7_21

Explainable Demand Forecasting: A Data Mining Goldmine

Author(s): Rozanec, Joze M.
Published in: "WWW - ""Explainable demand forecasting: A data mining goldmine."" Companion Proceedings of the Web Conference 2021", 2021
Publisher: ACM
DOI: 10.1145/3442442.3453708

A Cognitive Approach to Manage the Complexity of Digital Twin Systems

Author(s): Jinzhi LuXiaochen ZhengLukas SchweigerDimitris Kiritsis
Published in: Smart Services Summit pp 105-115, 2021
Publisher: Springer
DOI: 10.1007/978-3-030-72090-2_10

Enhancing Cognition for Digital Twins

Author(s): Pavlos Eirinakis, Kostas Kalaboukas, Stavros Lounis, Ioannis Mourtos, Joze M. Rozanec, Nenad Stojanovic, Georgios Zois
Published in: 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2020, Page(s) 1-7, ISBN 978-1-7281-7037-4
Publisher: IEEE
DOI: 10.1109/ice/itmc49519.2020.9198492

The cognitive retrofit revolution inside industry: how to modernize factories by Cognitive Digital Twins

Author(s): Calefato C., Vallini M., Fasana S.
Published in: XII Congresso Nazionale Società Italiana di Ergonomia e Fattori Umani (SIE2020), 2020
Publisher: Springer

Systems Engineering Approach to Identify Requirements for Digital Twins Development.

Author(s): Gharaei A., Lu J., Stoll O., Zheng X., West S., Kiritsis D.
Published in: APMS 2020. IFIP Advances in Information and Communication Technology, book series (IFIPAICT,volume 591), 2020
Publisher: Springer
DOI: 10.1007/978-3-030-57993-7_10

Towards Active Learning Based Smart Assistant for Manufacturing

Author(s): Zajec, Patrik
Published in: "APMS - ""Towards Active Learning Based Smart Assistant for Manufacturing."" IFIP International Conference on Advances in Production Management Systems. Springer, Cham, 2021.", 2021
Publisher: Springer
DOI: 10.1007/978-3-030-85910-7_31

Peer reviewed articles (12)

Cognitive Digital Twins for Resilience in Production: A Conceptual Framework

Author(s): Pavlos Eirinakis; Stavros Lounis; Stathis Plitsos; George Arampatzis; Kostas Kalaboukas; Klemen Kenda; Jinzhi Lu; Jože M. Rožanec; Nenad Stojanovic
Published in: Information, 13 (1), 2022, Page(s) 33, ISSN 2078-2489
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info13010033

Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring

Author(s): Rožanec, Jože Martin
Published in: "MDPI Applied Sciences Special Issue : Smart Resilient Manufacturing - ""Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring."" Applied Sciences 11.24 (2021): 11790.", 2021, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app112411790

Help me learn! Architecture and strategies to combine recommendations and active learning in manufacturing

Author(s): Zajec, Patrik
Published in: "MDPI Information - ""Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing."" Information 12.11 (2021): 473.", 2021, ISSN 2078-2489
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12110473

Actionable cognitive twins for decision making in manufacturing

Author(s): Jože M. Rožanec; Jinzhi Lu; Jan Rupnik; Maja Škrjanc; Dunja Mladenic; Blaž Fortuna; Xiaochen Zheng; Dimitris Kiritsis
Published in: International Journal of Production Research, 60 (2), 2022, Page(s) 452-478, ISSN 0020-7543
Publisher: Taylor & Francis
DOI: 10.1080/00207543.2021.2002967

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks - An Operational Model

Author(s): Kalaboukas, Kostas
Published in: "MDPI Applied Sciences Special Issue: Smart Resilient Manufacturing - ""Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model."" Applied Sciences 11.9 (2021): 4103.", 2021, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app11094103

Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection

Author(s): Jinzhi Lu; Dejiu Chen; Guoxin Wang; Dimitris Kiritsis; Martin Törngren
Published in: IEEE Transactions on Systems, Man, and Cybernetics: Systems ( Volume: 52, Issue: 4, April 2022), 2021, ISSN 2168-2232
Publisher: IEEE
DOI: 10.1109/tsmc.2020.3048821

Flexible Job Shop Scheduling Problems with Arbitrary Precedence Graphs

Author(s): Kasapidis, G.A., Paraskevopoulos, D.C., Repoussis, P.P. and Tarantilis, C.D.
Published in: Production and Operations Management, 30, 2021, Page(s) : 4044-4068. , ISSN 1937-5956
Publisher: Wiley Online Library
DOI: 10.1111/poms.13501

Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI)

Author(s): Rožanec, Jože M., Blaž Fortuna, and Dunja Mladenić
Published in: "Information Fusion - ""Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI)."" Information Fusion 81 (2022): 91-102.", 2021, ISSN 1566-2535
Publisher: Elsevier BV
DOI: 10.1016/j.inffus.2021.11.015

Enriching Artificial Intelligence Explanations with Knowledge Fragments

Author(s): Jože Rožanec; Elena Trajkova; Inna Novalija; Patrik Zajec; Klemen Kenda; Blaž Fortuna; Dunja Mladenić
Published in: Future Internet, 14 (5), 2022, Page(s) 134, ISSN 1999-5903
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/fi14050134

A Design Theory for Energy and Carbon Management Systems in the Supply Chain

Author(s): Zampou, Eleni; Mourtos, Ioannis; Pramatari, Katerina; and Seidel, Stefan
Published in: Journal of the Association for Information Systems, 23(1), 2021, Page(s) 329-371, ISSN 1536-9323
Publisher: Association for Information Systems
DOI: 10.17705/1jais.00725

A Discrete Process Modelling and Simulation Methodology for Industrial Systems within the Concept of Digital Twins

Author(s): George ARAMPATZIS; Nikolaos Sarantinoudis; George Tsinarakis
Published in: Applied Sciences, 12 (2), 2022, Page(s) 870, ISSN 2076-3417
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/app12020870

Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies

Author(s): Jože M. Rožanec; Blaž Kažič; Maja Škrjanc; Blaž Fortuna; Dunja Mladenic
Published in: Applied Sciences, 11 (15), 2022, ISSN 2076-3417
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/app11156787