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

Livrables

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.

Publications

Curiosity Driven Reinforcement Learning for Job Shop Scheduling

Auteurs: Alexander Nasuta, Marco Kemmerling, Hans Zhou, Anas Abdelrazeq, Robert H. Schmitt
Publié dans: Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025
Éditeur: 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

Auteurs: Paletta Lucas, Zeiner Herwig, Schneeberger Michael, Quadri Yusuf
Publié dans: Cognitive Computing and Internet of Things, 2023
Éditeur: AHFE Open Access
DOI: 10.54941/ahfe1003971

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

Auteurs: Woitsch Robert, Muck Christian, Utz Wilfrid, Zeiner Herwig
Publié dans: 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
Éditeur: CEUR Workshop Proceedings (CEUR-WS.org)

Reward Shaping for Job Shop Scheduling

Auteurs: Nasuta, A., Kemmerling, M., Lütticke, D., Schmitt, R.H.
Publié dans: Machine Learning, Optimization, and Data Science. LOD 2023, Numéro 14505, 2024, ISBN 978-3-031-53969-5
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-53969-5_16

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

Auteurs: Utz Wilfrid, Muck Christian
Publié dans: 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
Éditeur: CEUR Workshop Proceedings (CEUR-WS.org)

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

Auteurs: Lucas Paletta, Michael Schneeberger, Martin Pszeida, Jochen Mosbacher, Florian Haid, Julia Tschuden, Herwig Zeiner
Publié dans: AHFE International, Cognitive Computing and Internet of Things, 2024
Éditeur: AHFE International
DOI: 10.54941/AHFE1004713

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

Auteurs: Lucas Paletta, Michael Schneeberger, Martin Pszeida, Herwig Zeiner, Jochen A Mosbacher
Publié dans: AHFE International, Cognitive Computing and Internet of Things, Numéro 165, 2025
Éditeur: AHFE International
DOI: 10.54941/AHFE1006093

The Algorithmic Fairness Challenge in Decision-Making

Auteurs: Herwig Zeiner, Lucas Paletta, Gustavo Vieira
Publié dans: AHFE International, Cognitive Computing and Internet of Things, Numéro 165, 2025
Éditeur: AHFE International
DOI: 10.54941/AHFE1006103

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

Auteurs: Sylwia Olbrych, Alexander Nasuta, Marco Kemmerling, Anas Abdelrazeq, Robert H Schmitt
Publié dans: AHFE International, Cognitive Computing and Internet of Things, 2024
Éditeur: AHFE International
DOI: 10.54941/AHFE1004711

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

Auteurs: Christian Muck, Julia Tschuden, Herwig Zeiner, Wilfrid Utz
Publié dans: AHFE International, Cognitive Computing and Internet of Things, 2024
Éditeur: AHFE International
DOI: 10.54941/AHFE1004710

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

Auteurs: Lucas Paletta, Herwig Zeiner, Michael Schneeberger, Martin Pszeida, Jochen A. Mosbacher, Julia Tschuden
Publié dans: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Numéro 11, 2024
Éditeur: IEEE
DOI: 10.1109/ETFA61755.2024.10710860

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

Auteurs: Gustavo Vieira, Herwig Zeiner, Lucas Paletta, Rui Fernandes, Higor Rosse, Khadija Sabiri, Juan F De Paz, José Barbosa
Publié dans: AHFE International, Cognitive Computing and Internet of Things, Numéro 165, 2025
Éditeur: AHFE International
DOI: 10.54941/AHFE1006102

AI Audit as a tool for effective AI risk management

Auteurs: Herwig Zeiner
Publié dans: AHFE International, Cognitive Computing and Internet of Things, Numéro 165, 2025
Éditeur: AHFE International
DOI: 10.54941/AHFE1006101

Digital Twins for Haptic Design Thinking: An Innovative Prototype

Auteurs: Völz, Alexander; Muck, Christian; Utz, Wilfrid
Publié dans: 19th International Conference on Business Informatics 2024, 2024
Éditeur: AIS eLibrary

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

Auteurs: Johanna M Werz, Esther Borowski, Ingrid Isenhardt
Publié dans: AHFE International, Cognitive Computing and Internet of Things, 2024
Éditeur: AHFE International
DOI: 10.54941/AHFE1004712

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

Auteurs: Noushin Qeybi, Stefan Boeschen
Publié dans: AHFE International, Cognitive Computing and Internet of Things, Numéro 165, 2025
Éditeur: AHFE International
DOI: 10.54941/AHFE1006089

Time-Aware Optimisation Models for Hospital Logistics

Auteurs: Herwig Zeiner, Roland Unterberger, Julia Tschuden, Mohammad Yusuf Quadri
Publié dans: 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
Éditeur: 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

Auteurs: Michael Schneeberger, Belén Carballo Leyenda, Jose A Rodríguez-marroyo, Lucas Paletta
Publié dans: AHFE International, Cognitive Computing and Internet of Things, 2024
Éditeur: AHFE International
DOI: 10.54941/AHFE1004703

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

Auteurs: Noushin Gheibi, Stefan Boeschen
Publié dans: AHFE International, Cognitive Computing and Internet of Things, 2024
Éditeur: AHFE International
DOI: 10.54941/AHFE1004709

Mensch und KI gemeinsam für eine bessere Arbeitswelt

Auteurs: Herwig Zeiner, Lucas Paletta
Publié dans: 2024
Éditeur: JOANNEUM RESEARCH Forschungsgesellschaft mbH

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

Auteurs: Robert Woitsch
Publié dans: Platfrom Industre 4.0 Austria, 2024
Éditeur: Platfrom Industre 4.0 Austria

EU- Success Story FFG Austria

Auteurs: Robert Woitsch
Publié dans: FFG Success Stories, 2025
Éditeur: Österreichische Forschungsförderungsgesellschaft mbH

Transparente KI gestalten – Vertrauen und Nutzung erhöhen

Auteurs: Johanna M. Werz, Johannes Zysk, Esther Borowski, Ingrid Isenhardt
Publié dans: Zeitschrift für wirtschaftlichen Fabrikbetrieb, Numéro 120, 2025, ISSN 2511-0896
Éditeur: 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

Auteurs: Cisi Alessandro
Publié dans: Stellantis Collaborative Projects eBook2025, 2025
Éditeur: own

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

Auteurs: Cisi Alessandro
Publié dans: Stellantis Collaborative Projects eBook2024, 2024
Éditeur: own

Customer Newsletter

Auteurs: Robert Woitsch
Publié dans: 2024
Éditeur: BOC Products & Services AG

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

Auteurs: Cisi Alessandro
Publié dans: Stellantis Collaborative Projects eBook2023, 2023
Éditeur: own

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

Auteurs: Robert Woitsch; Christian Muck; Wilfrid Utz; Herwig Zeiner
Publié dans: Complex Systems Informatics and Modeling Quarterly, 2024, ISSN 2255-9922
Éditeur: RTU Press
DOI: 10.7250/CSIMQ.2024-38.02

Transparente KI gestalten – Vertrauen und Nutzung erhöhen

Auteurs: Johanna M. Werz, Johannes Zysk, Esther Borowski, Ingrid Isenhardt
Publié dans: Zeitschrift für wirtschaftlichen Fabrikbetrieb, Numéro 120, 2025, ISSN 2511-0896
Éditeur: 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

Auteurs: Noushin Qeybi, Stefan Böschen
Publié dans: Human-Intelligent Systems Integration, 2025, ISSN 2524-4876
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/S42454-025-00077-9

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Publications

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