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Energy-aware Factory Analytics for Process Industries

Risultati finali

Dissemination and Communication Activities Report V2

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

Dissemination and Communication Activities Report V1

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

Validation and impact assessment (Interim Version)

Validation and impact assessment of FACTLOG from the pilots

Systemic Cognitive Models Prototypes

A methodology enabling the generation and management of multiple systemic model scenarios plus a dynamic simulation mechanism isolating the physical system and its augmented digital twin

Cognitive Transformation Report (Interim Version)

Preliminary report on Cognitive Transformation of the pilots deploying FACTLOG results as well as demonstrations carried out by the project clusters

Cognitive Factory Framework

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

KG-based analytics for process optimization

A methodology for Knowledge Graph based analytics for process and system optimization implemented as a Knowledge Core addon module

Knowledge Graphs Modelling

Knowledge graphs including all relevant pieces of an industrial system that enables the integration of heterogeneous and mostly unstructured data from diverse sources thus allowing for flexible and smart knowledge or data querying

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.

Data Collection Framework (Interim Version)

Data collection services and adapters for the pilots

FACTLOG Training and Educational Material V1

This report will describe the training and educational materials designed both from industrial and academic partners

Standardisation Activities Report V2

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

Process Modelling Methodology

The transformation of WP1 output into Process Models using state of the art standards for system modelling and analysis plus the creation of a hierarchical inheritance registry that will provide prototype reconfigurable building blocks

Integration guidelines (Interim Version)

Integration guidelines for FACTLOG with external systems

Data Collection Framework (Final Version)

Data collection services and adapters for the pilots

Reference Scenarios, KPIs and Datasets

Reference scenarios, KPIs and initial datasets from all pilots.

Initial Data Management Plan

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

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.

Pubblicazioni

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

Autori: Jinzhi Lu, Xiaochen Zheng, Ali Gharaei, Kostas Kalaboukas, Dimitris Kiritsis
Pubblicato 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
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-46212-3_7

A Knowledge Management Approach Supporting Model-Based Systems Engineering

Autori: Pengfei YangJinzhi LuLei FengShouxuan WuGuoxin WangDimitris Kiritsis
Pubblicato in: WorldCIST 2021: Trends and Applications in Information Systems and Technologies pp 581-590, 2021
Editore: 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.

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

Utilizing an enhanced digital twin to optimize on-specs LPG recovery

Autori: Eirinakis P, Arampatzis G, Košmerlj A, Rožanec J, Sarantinoudis N
Pubblicato in: 31st European Conference on Operational Research (EURO21), 2022, Page(s) 186
Editore: EURO 2021

Towards Actionable Cognitive Digital Twins for Manufacturing

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

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

Autori: Rožanec, Jože M
Pubblicato 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
Editore: Springer
DOI: 10.1007/978-3-030-85910-7_21

Machine-Learning-Based Soft Sensors for Energy Efficient Operation of Crude Distillation Units

Autori: J.M. Rožanec, E. Trajkova, M.K. Onat, N. Sarantinoudis, G. Arampatzis, B. Fortuna and D. Mladenić
Pubblicato in: International Conference on Electrical, Computer and Energy Technologies (ICECET2022), 2022, ISBN 978-1-6654-7087-2
Editore: IEEE
DOI: 10.1109/icecet55527.2022.9872983

Explainable Demand Forecasting: A Data Mining Goldmine

Autori: Rozanec, Joze M.
Pubblicato in: "WWW - ""Explainable demand forecasting: A data mining goldmine."" Companion Proceedings of the Web Conference 2021", 2021
Editore: ACM
DOI: 10.1145/3442442.3453708

A Cognitive Approach to Manage the Complexity of Digital Twin Systems

Autori: Jinzhi LuXiaochen ZhengLukas SchweigerDimitris Kiritsis
Pubblicato in: Smart Services Summit pp 105-115, 2021
Editore: Springer
DOI: 10.1007/978-3-030-72090-2_10

Exact methods for tardiness objectives in production scheduling

Autori: Avgerinos I, Mourtos I, Vatikiotis S, Zois G
Pubblicato in: At the 10th IFAC Manufacturing Modelling, Management and Control (MIM22), Nantes, France., Issue Volume 55, Issue 10, 2022, 2022, Page(s) 2487-2492, ISSN 2405-8963
Editore: ScienceDirect
DOI: 10.1016/j.ifacol.2022.10.082

Forecasting sensor values in waste-to-fuel plants

Autori: Brecelj, B., Šircelj, B., Rožanec, J. M., Fortuna, B., & Mladenić, D.
Pubblicato in: SIKDD 2022, 2022
Editore: AILAB
DOI: 10.48550/arxiv.2209.13957

XAI-KG: knowledge graph to support XAI and decision-making in manufacturing

Autori: Rožanec, J. M., Zajec, P., Kenda, K., Novalija, I., Fortuna, B., & Mladenić, D.
Pubblicato in: Advanced Information Systems Engineering Workshops, Issue CAiSE 2021, 2021, Page(s) 167-172, ISBN 978-3-030-79022-6
Editore: ResearchGate
DOI: 10.1007/978-3-030-79022-6_14

A mathematical programming approach for optimizing on-specs production for industrial processes under input uncertainty

Autori: Eirinakis P, Koronakos G
Pubblicato in: At the 10th IFAC Manufacturing Modelling, Management and Control (MIM22), Nantes, France., Issue Volume 55, Issue 10, 2022, 2022, Page(s) 2822-2827, ISSN 2405-8963
Editore: ScienceDirect
DOI: 10.1016/j.ifacol.2022.10.158

Enhancing Cognition for Digital Twins

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

Cognitive Manufacturing: The role of process modelling and optimization

Autori: Sarantinoudis N, Tsinarakis G, Kalaboukas K, Eirinakis P, Arampatzis G
Pubblicato in: 31st European Conference on Operational Research (EURO21), 2022, Page(s) 186
Editore: EURO 2021

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

Autori: Calefato C., Vallini M., Fasana S.
Pubblicato in: XII Congresso Nazionale Società Italiana di Ergonomia e Fattori Umani (SIE2020), 2020
Editore: Springer

Systems Engineering Approach to Identify Requirements for Digital Twins Development.

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

Towards Active Learning Based Smart Assistant for Manufacturing

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

Cognitive Digital Twins for Resilience in Production: A Conceptual Framework

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

Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand

Autori: Rožanec, J. M., Fortuna, B., & Mladenić, D.
Pubblicato in: MDPI Sustainability, Issue Volume 14, Issue 15, 2022, ISSN 2071-1050
Editore: MDPI Open Access Publishing
DOI: 10.3390/su14159295

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

Autori: Rožanec, Jože Martin
Pubblicato 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
Editore: MDPI
DOI: 10.3390/app112411790

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

Autori: Zajec, Patrik
Pubblicato 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
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12110473

Actionable cognitive twins for decision making in manufacturing

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

Active Learning and Novel Model Calibration Measurements in Manufacturing

Autori: Rožanec, J. M., Bizjak, L., Trajkova, E., Zajec, P., Keizer, J., Fortuna, B., & Mladenić, D.
Pubblicato in: Journal of Intelligent Manufacturing, 2022, ISSN 1572-8145
Editore: Springer
DOI: 10.1007/s10845-023-02098-0

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

Autori: Kalaboukas, Kostas
Pubblicato 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
Editore: MDPI
DOI: 10.3390/app11094103

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

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

Flexible Job Shop Scheduling Problems with Arbitrary Precedence Graphs

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

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

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

Enriching Artificial Intelligence Explanations with Knowledge Fragments

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

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

Autori: Zampou, Eleni; Mourtos, Ioannis; Pramatari, Katerina; and Seidel, Stefan
Pubblicato in: Journal of the Association for Information Systems, Issue 23(1), 2021, Page(s) 329-371, ISSN 1536-9323
Editore: 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

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

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

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

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