HIPPE 2026 Pro­ceed­ings

Future contributions to HIPPE will also be published on this page and can be accessed via the link provided.

Current Edition: 

HIPPE 2026

For the first time, the Symposium on Hybrid Intelligence in Product and Production Development took place in Paderborn from March 24–26, 2026. During the three-day symposium, the scientific discourse was guided by the question of how not only hybrid decision support, but hybrid intelligence in general, can be used to enhance performance in product development. Contributions included approaches from both engineering sciences and computer science that are applied in the context of product development. Together, the participants discussed the potential and possible limitations of these approaches in order to generate groundbreaking insights for the further development of the research field.

 

TitleAuthorDOIDownload
Corporate resilience through generic AI-based workflows in strategic product planningI. Gräßler; D. Oezcanwww.doi.org/10.17619/UNIPB/1-2636Corporate resilience through generic AI-based workflows in strategic product planning [Pdf 1.17 mb]
Systematic review of engineering simulation models for life cycle assessmentI. Gräßler; S. Aydin; S. Rarbachwww.doi.org/10.17619/UNIPB/1-2637Systematic review of engineering simulation models for life cycle assessment [Pdf 0.66 mb]
A practical guide to responsible research data management in academic-industry collaborationG. Kremer; J. Balder; H. Ebel; Z. Wang; A. Upadhyay; E. Kempkens; S. B. Hassine; R. Starkwww.doi.org/10.17619/UNIPB/1-2638Practical guide for responsible research data management in academic-industry collaboration [Pdf 0.8 mb]
Harnessing tacit knowledge from sustainable product engineering through artificial intelligenceI. Gräßler; J. Mansheim; J. Pfeiferwww.doi.org/10.17619/UNIPB/1-2639

Harnessing tacit knowledge from sustainable product engineering through artificial intelligence [Pdf 0.93 mb]

 

Enabling extreme data through the use of DS/AI approaches: A process metadata model to link assembly features and required human capabilitiesI. Gräßler; T. Hesse; J. Pottebaumwww.doi.org/10.17619/UNIPB/1-2640Enabling extreme data by using DS/AI approaches [Pdf 0.53 mb]
Designing and validating affordant interfaces for hybrid intelligence systemsM. Kretzschmar; B. Saske; J. Mehlstäubl; K. Paetzoldwww.doi.org/10.17619/UNIPB/1-2641Designing and validating affordant interfaces for hybrid intelligence systems [Pdf 1.83 mb]
A product metadata model of assembly-related extreme data to enable hybrid decision supportI. Gräßler; F. Vollenkemper; J. Pottebaumwww.doi.org/10.17619/UNIPB/1-2642A product Meta Data Model of assembly-related extreme data to enable hybrid decision support [Pdf 0.59 mb]
A concept for simulating stakeholders in product development using personas and generative AIS. Wellsandt; K. Hribernik; J. Naumann; K. Thobenwww.doi.org/10.17619/UNIPB/1-2643A concept to simulate stakeholders in product development with personas and generative AI [Pdf 1.46 mb]
Hybrid decision support in strategic product planning: leveraging extreme data for early-phase innovationI. Gräßler; J. Goldsteinwww.doi.org/10.17619/UNIPB/1-2644Hybrid decision support in strategic product planning [Pdf 0.7 mb]
Literature analysis and development of a metadata model for describing human capabilities in productionT. Meinecke; T. Hesse; I. Gräßler; M. Schmidtwww.doi.org/10.17619/UNIPB/1-2645Literature analysis and development of a metadata model for human capability description in production [Pdf 0.49 mb]
Performance evaluation of large language models in extracting requirements sets from technical documentsI. Gräßler; J. Pfeiferwww.doi.org/10.17619/UNIPB/1-2646Performance evaluation of large language models in extracting requirements sets from technical documents [Pdf 0.51 mb]
AI- and data science-driven decision support: transforming early-stage product creation and collaboration in product developmentM. Tatschl; G. Schalk; H. Hickwww.doi.org/10.17619/UNIPB/1-2647AI- and data science-driven decision support [Pdf 0.82 mb]
Framework for Model-Based Systems Engineering Circularity AssessmentY. Juresa; D. Mollahassani Madjdabadi; J. C. Göbelwww.doi.org/10.17619/UNIPB/1-2648Framework for model-based systems engineering circularity assessment [Pdf 1.31 mb]
Towards structured knowledge reuse to support design for manufacturability: a case-based reasoning approachK. Thanabalan; L. Malburg; L. Kunz; R. Bergmannwww.doi.org/10.17619/UNIPB/1-2649Towards structured knowledge reuse to support design for manufacturability [Pdf 0.51 mb]
Automatic generation of technical drawings using the Model Context ProtocolL. Kunz; M. Klostermeier; K. Thanabalan; T. Legler; M. Ruskowskiwww.doi.org/10.17619/UNIPB/1-2650Automatic generation of technical drawings using Model Context Protocol [Pdf 1.16 mb]
Graph-based product prototype optimisation using multi-objective reinforcement learning: a framework conceptS. Münker; H. A. Zhou; A. Abdelrazeq; J. Haller; R. Schmittwww.doi.org/10.17619/UNIPB/1-2651Graph-based product prototype optimization using multiobjective reinforcement learning [Pdf 0.65 mb]
Comparing approaches for the automatic generation of system models in generative systems engineeringM. Becker; D. Mollahassani Madjdabadi; J. C. Göbelwww.doi.org/10.17619/UNIPB/1-2652Comparing approaches for the automatic generation of system models in generative systems engineering [Pdf 0.73 mb]
Theoretical foundation for modelling design decisions for hybrid (human/AI) decision support systemsE. Kempkens; A. Upadhyay; Z. Wang; R. Starkwww.doi.org/10.17619/UNIPB/1-2653Theoretical foundation to model design decisions for hybrid (Human/AI) decision support systems [Pdf 1.7 mb]
Influence of tokenisation strategies on the prediction of CAD model descriptionsS. H. Habibi; J. Bergelt; M. Teichmann; F. H. Hamkerwww.doi.org/10.17619/UNIPB/1-2654Influence of tokenization strategies on the prediction of CAD model descriptions [Pdf 0.8 mb]
Evaluating a decision support system for assessing the disassemblability of product designsA. Markus; J. Haller; E. Borowski; A. Göppert; R. Schmittwww.doi.org/10.17619/UNIPB/1-2655Evaluating a decision support system for assessing the product design disassemblability [Pdf 0.45 mb]
CAD-as-Code and agentic AI for function-aware engineering designE. Berger; J. Mehlstäubl; B. Saske; K. Paetzhold-Byhainwww.doi.org/10.17619/UNIPB/1-2656CAD-as-Code and agentic AI for function-aware engineering design [Pdf 0.92 mb]
Identification of key parameters for automated assemblyM. Jakschik; J. Rolf; K. Bahri; B. Kuhlenkötterwww.doi.org/10.17619/UNIPB/1-2657Identification of key parameters for automated assembly [Pdf 0.8 mb]
Multimodal AI agent for orchestrating mobile robotic tasks in flexible assembly automationL. M. Pinheiro de Souza; V. Murugasamy; A. Moriz; A. Göppert; R. Schmittwww.doi.org/10.17619/UNIPB/1-2658Multimodal AI agent for orchestration of mobile robotic tasks in flexible assembly automation [Pdf 4.86 mb]
Hybrid neuro-symbolic decision support system for product planning and designF. Engel; N. Krzdavac; S. Ghodsi; J. Haller; A. Markus; S. K. Münker; A. Abdelrazeq; R. Schmittwww.doi.org/10.17619/UNIPB/1-2659Hybrid neuro-symbolic decision support system in product planning and design [Pdf 0.63 mb]
From rust to reuse: influence of preload and corrosion on the mechanical performance of bolted jointsC. Lange; N. Afifi; D. Gleß; M. Benfer; S. Matthiesen; G. Lanzawww.doi.org/10.17619/UNIPB/1-2660From rust to reuse [Pdf 1.43 mb]
Navigating the development of cyber-physical systems through inconsistency scenariosT. A. Voelk; E. Grote; R. Dehghani; F. Pfaff; J. Liebschner; A. Koziolek; T. Düser; A. Albers,www.doi.org/10.17619/UNIPB/1-2661Navigating development of cyber-physical systems through inconsistency scenarios [Pdf 1.11 mb]
1st International Symposium: 24–26 March 2026, Heinz Nixdorf Institute, Paderborn UniversityI. Gräßlerwww.doi.org/10.17619/UNIPB/1-26631st International Symposium [Pdf 26.91 mb]