Flexibilization of complex Ecosystems using Democratic AI based Decision Support and Recommendation Systems at Work

Risultati finali

Final iteration on guidelines, methods and tools for democratizing the production process in the light of their flexibilization while using Multi Agent System as mediators in form of prototypes, physical experiments in laboratories, implemented questionnaires, modelling tools or semantic model of criteria catalogues.

FAIRWork Exploitation Tools (Website, Social Medial, Flyer)

Set of communication and exploitation tools, with corresponding accounts and plans for campaigns towards the identified channels.

First DAI-DSS Research Collection

First iteration on guidelines, methods and tools for democratizing the production process in the light of their flexibilization while using Multi Agent System as mediators in form of prototypes, physical experiments in laboratories, implemented questionnaires, modelling tools or semantic model of criteria catalogues.

FAIRWork Knowledge Base at Use Case Site

Models, data and human experts are identified and described. The confidential part of the knowledge base will be used for demonstration, anonymised demonstration data will be made available for the public deliverable.

FAIRWork Training Material and Innovation Shop

An operating innovation shop, with innovation / exploitation items as well as guidelines for interested parties to also create their own innovation shop. Technology to host an Innovation Shop are provided for free download.

DAI-DSS Architecture and initial Documentation and Test Report

Generic and open architecture, documentation, test strategy and test report.

DAI-DSS Research Specification

Mapping of systemic and individual factors in selected use case for production process optimisation, to proof the appropriateness of Multi Agent System as mediators in form of publications, laboratory experiments, questionnaires, modelling methods or criteria catalogues.

Demonstration Report of FAIRWork with DAI-DSS

This report shows how the DAI-DSS is operated and explains how to introduce AI for decision making and how to ensure the reliability of the AI.

Specification of FAIRWork and initial DAI-DSS Architecture

It will contain the user requirements derived from the user scenarios to identify key stakeholders’ decisions needs. Finally, it will describe test scenarios and criteria of the user scenarios to evaluate how “FAIRWork” can be successfully applied. Furthermore, it will outline key aspects of the architecture and the core design of the Democratic AI-Decision Support System (DAI-DSS).

DAI-DSS Infrastructure and Setup Report at Use Case Site

This report explains in form of show cases how to setup new infrastructure, how to integrate DAI-DSS into an existing and complex legacy environment and how to approach the human decision-makers and operators.

Evaluation and Lessons Learned Report

The evaluation report assesses the potential of FAIRWork at the use case site and its potential impact on other application scenarios and branches. The research reflection re-visits all publications during research period and reflects the deliverables and research results with the knowledge after the project duration. The lessons learned report enables possible updates, complementary findings or corrections or previously made assumptions and publications during the project.

Initial DAI-DSS Prototype

Initial reference implementation of the DAI-DSS prototype focusing on integration within building blocks, and the integration between building blocks to provide a common understanding on how DAI-DSS could work.

Final DAI-DSS Prototype, Documentation and Test Report

Final reference implementation of the DAI-DSS prototype focusing on the integration of AI algorithms as well as how to make those transparent and indicate the reliability.

Pubblicazioni

Curiosity Driven Reinforcement Learning for Job Shop Scheduling

Autori: Alexander Nasuta, Marco Kemmerling, Hans Zhou, Anas Abdelrazeq, Robert H. Schmitt
Pubblicato in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0013143800003890

Digital Shadows and Twins for Human Experts and Data-Driven Services in a Framework of Democratic AI-based Decision Support

Autori: Paletta Lucas, Zeiner Herwig, Schneeberger Michael, Quadri Yusuf
Pubblicato in: Cognitive Computing and Internet of Things, 2023
Editore: AHFE Open Access
DOI: 10.54941/ahfe1003971

Towards a Democratic AI-based Decision Support System to Improve Decision Making in Complex Ecosystems

Autori: Woitsch Robert, Muck Christian, Utz Wilfrid, Zeiner Herwig
Pubblicato in: Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023), 2023, ISSN 1613-0073
Editore: CEUR Workshop Proceedings (CEUR-WS.org)

Reward Shaping for Job Shop Scheduling

Autori: Nasuta, A., Kemmerling, M., Lütticke, D., Schmitt, R.H.
Pubblicato in: Machine Learning, Optimization, and Data Science. LOD 2023, Numero 14505, 2024, ISBN 978-3-031-53969-5
Editore: Springer, Cham
DOI: 10.1007/978-3-031-53969-5_16

A Recognition Service for Haptic Modelling in Scene2Model - Neural Networks for Design Thinking

Autori: Utz Wilfrid, Muck Christian
Pubblicato in: Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023, ISSN 1613-0073
Editore: CEUR Workshop Proceedings (CEUR-WS.org)

Resilience Scores from Wearable Biosignal Sensors for Decision Support of Worker Allocation in Production

Autori: Lucas Paletta, Michael Schneeberger, Martin Pszeida, Jochen Mosbacher, Florian Haid, Julia Tschuden, Herwig Zeiner
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004713

Research Protocol for the Estimation of Recovery-stress States of Workers at the Manufacturing Site Using Wearables

Autori: Lucas Paletta, Michael Schneeberger, Martin Pszeida, Herwig Zeiner, Jochen A Mosbacher
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, Numero 165, 2025
Editore: AHFE International
DOI: 10.54941/AHFE1006093

The Algorithmic Fairness Challenge in Decision-Making

Autori: Herwig Zeiner, Lucas Paletta, Gustavo Vieira
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, Numero 165, 2025
Editore: AHFE International
DOI: 10.54941/AHFE1006103

From Simple to Sophisticated: Investigating the Spectrum of Decision Support Complexity with AI Integration in Manufacturing

Autori: Sylwia Olbrych, Alexander Nasuta, Marco Kemmerling, Anas Abdelrazeq, Robert H Schmitt
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004711

Explainability of Industrial Decision Support System using Digital Design Thinking with Scene2Model

Autori: Christian Muck, Julia Tschuden, Herwig Zeiner, Wilfrid Utz
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004710

Resilience Scores for Decision Support Using Wearable Biosignal Data with Requirements on Fair and Transparent AI

Autori: Lucas Paletta, Herwig Zeiner, Michael Schneeberger, Martin Pszeida, Jochen A. Mosbacher, Julia Tschuden
Pubblicato in: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Numero 11, 2024
Editore: IEEE
DOI: 10.1109/ETFA61755.2024.10710860

Fairness in Designing Decision-Making Processes with Multi-Agent Systems and Human Factors

Autori: Gustavo Vieira, Herwig Zeiner, Lucas Paletta, Rui Fernandes, Higor Rosse, Khadija Sabiri, Juan F De Paz, José Barbosa
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, Numero 165, 2025
Editore: AHFE International
DOI: 10.54941/AHFE1006102

AI Audit as a tool for effective AI risk management

Autori: Herwig Zeiner
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, Numero 165, 2025
Editore: AHFE International
DOI: 10.54941/AHFE1006101

Digital Twins for Haptic Design Thinking: An Innovative Prototype

Autori: Völz, Alexander; Muck, Christian; Utz, Wilfrid
Pubblicato in: 19th International Conference on Business Informatics 2024, 2024
Editore: AIS eLibrary

Explainability as a means for transparency? Lay users' requirements towards transparent AI

Autori: Johanna M Werz, Esther Borowski, Ingrid Isenhardt
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004712

Exploring Democratization in Industry via Multi-Agent Systems: A firm-based Case Study

Autori: Noushin Qeybi, Stefan Boeschen
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, Numero 165, 2025
Editore: AHFE International
DOI: 10.54941/AHFE1006089

Time-Aware Optimisation Models for Hospital Logistics

Autori: Herwig Zeiner, Roland Unterberger, Julia Tschuden, Mohammad Yusuf Quadri
Pubblicato in: In: Liu, S., Zaraté, P., Kamissoko, D., Linden, I., Papathanasiou, J. (eds) Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins . ICDSST 2023. Lecture Notes in Business Information Processing,, 2023
Editore: Springer, Cham
DOI: 10.1007/978-3-031-32534-2_4

Validation of Wearable Biosignal Sensor-based Estimation of the Physiological Strain Index Using Gaussian Process Regression

Autori: Michael Schneeberger, Belén Carballo Leyenda, Jose A Rodríguez-marroyo, Lucas Paletta
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004703

Democratization in Industry via Multi-Agent Systems, The case of a production company

Autori: Noushin Gheibi, Stefan Boeschen
Pubblicato in: AHFE International, Cognitive Computing and Internet of Things, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004709

Mensch und KI gemeinsam für eine bessere Arbeitswelt

Autori: Herwig Zeiner, Lucas Paletta
Pubblicato in: 2024
Editore: JOANNEUM RESEARCH Forschungsgesellschaft mbH

BOC Products & Services AG: KI-basiertes Entscheidungsunterstützungssystem für Producktionsprozesse

Autori: Robert Woitsch
Pubblicato in: Platfrom Industre 4.0 Austria, 2024
Editore: Platfrom Industre 4.0 Austria

EU- Success Story FFG Austria

Autori: Robert Woitsch
Pubblicato in: FFG Success Stories, 2025
Editore: Österreichische Forschungsförderungsgesellschaft mbH

Transparente KI gestalten – Vertrauen und Nutzung erhöhen

Autori: Johanna M. Werz, Johannes Zysk, Esther Borowski, Ingrid Isenhardt
Pubblicato in: Zeitschrift für wirtschaftlichen Fabrikbetrieb, Numero 120, 2025, ISSN 2511-0896
Editore: Walter de Gruyter GmbH
DOI: 10.1515/ZWF-2025-1062

FAIRWork - Flexibilization of complex Ecosystems using Democtratic Ai based Decision Support and Recommendation Systems at Work

Autori: Cisi Alessandro
Pubblicato in: Stellantis Collaborative Projects eBook2025, 2025
Editore: own

FAIRWork - Flexibilization of complex Ecosystems using Democtratic Ai based Decision Support and Recommendation Systems at Work

Autori: Cisi Alessandro
Pubblicato in: Stellantis Collaborative Projects eBook2024, 2024
Editore: own

Customer Newsletter

Autori: Robert Woitsch
Pubblicato in: 2024
Editore: BOC Products & Services AG

FAIRWork - Digital and emerging technologies for competitivness and fit for the green deal

Autori: Cisi Alessandro
Pubblicato in: Stellantis Collaborative Projects eBook2023, 2023
Editore: own

Enable Flexibilisation in FAIRWork’s Democratic AI-based Decision Support System by Applying Conceptual Models Using ADOxx

Autori: Robert Woitsch; Christian Muck; Wilfrid Utz; Herwig Zeiner
Pubblicato in: Complex Systems Informatics and Modeling Quarterly, 2024, ISSN 2255-9922
Editore: RTU Press
DOI: 10.7250/CSIMQ.2024-38.02

Transparente KI gestalten – Vertrauen und Nutzung erhöhen

Autori: Johanna M. Werz, Johannes Zysk, Esther Borowski, Ingrid Isenhardt
Pubblicato in: Zeitschrift für wirtschaftlichen Fabrikbetrieb, Numero 120, 2025, ISSN 2511-0896
Editore: Walter de Gruyter GmbH
DOI: 10.1515/ZWF-2025-1062

Integrating perspectives on democratization in industry via multi-agent systems: insights from a firm-based case study

Autori: Noushin Qeybi, Stefan Böschen
Pubblicato in: Human-Intelligent Systems Integration, 2025, ISSN 2524-4876
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S42454-025-00077-9

Risultati finali

Pubblicazioni

Condividi questa pagina Condividi questa pagina sui social network

Scarica Scarica il contenuto della pagina