@inproceedings{29946,
author = {{Schall, Christoph Wilhelm Theodor and Schöppner, Volker}},
booktitle = {{PPS36}},
keywords = {{Computing Resources Provided by the Paderborn Center for Parallel Computing}},
title = {{{Design of a test bench for measuring the degradation behavior of plastics during processing}}},
year = {{2023}},
}
@inproceedings{46219,
abstract = {{AbstractTo select design guidelines engineers have to identify relevant from a bewildering amount of design guidelines. In this paper, a rule-based method for selecting design guidelines for material circularity selection is presented. For this purpose, a generic Product Life Cycle model is detailed with regard to Multi Material cycles (gPLC-MM). The presented method is divided into four steps. Core of the presented method is the comparison of circular product strategies with product life phases and material recovery processes. Engineering activities and increments of the product architecture are used to identify design guidelines. The results show that through the material circularity-oriented design guideline identification method, the product architecture is designed for different processes and technologies, to recover materials. The method allows engineers to select guidelines in a more targeted and consolidated way in sustainability-friendly product engineering.}},
author = {{Gräßler, Iris and Hesse, Philipp}},
booktitle = {{Proceedings of the Design Society}},
issn = {{2732-527X}},
keywords = {{Sustainability, Circular economy, Conceptual design}},
location = {{Bordeaux, France}},
pages = {{1077--1086}},
publisher = {{Cambridge University Press (CUP)}},
title = {{{CONSIDERING ENGINEERING ACTIVITIES AND PRODUCT CHARACTERISTICS TO ACHIEVE MATERIAL CIRCULARITY BY DESIGN}}},
doi = {{10.1017/pds.2023.108}},
volume = {{3}},
year = {{2023}},
}
@article{46478,
abstract = {{High streets across Europe continue to lose consumers to online retail, leading to business closures and the decline of city centres, impairing cities’ overall liveability. To counter this vicious cycle, our study presents smartmarket2, the first instantiation of a digital actor engagement platform designed specifically for high streets. smartmarket2 enables hybrid online-offline customer journeys by connecting consumers to stores and other high street service providers. In an action design research (ADR) project, we design, implement and evaluate smartmarket2, involving 150 high street operators and 2,300 citizens in three cycles of building, intervention and evaluation. We derive four design principles that contribute prescriptive knowledge on the design of digital actor engagement platforms. Our results reveal that such a platform is able to increase engagement, but that it is subject to actors’ engagement dispositions.}},
author = {{Bartelheimer, Christian and zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel}},
issn = {{0960-085X}},
journal = {{European Journal of Information Systems}},
keywords = {{Digital platform, action design research, design principles, actor engagement, engagement platform, location-based advertising}},
pages = {{1--34}},
publisher = {{Taylor & Francis}},
title = {{{Designing digital actor engagement platforms for local high streets: an action design research study}}},
doi = {{10.1080/0960085x.2023.2242847}},
year = {{2023}},
}
@article{43464,
abstract = {{Lightweight design is a common approach to reduce energy demand in the use stage of vehicles. The production of lightweight materials is usually associated with an increase in energy demand, so the environmental impacts of lightweight structures need to be assessed holistically using a life cycle assessment. To estimate the life cycle environmental impacts of a product in its developmental stage, for example, by life cycle engineering, future changes in relevant influencing factors must be considered. Prospective life cycle assessment provides methods for integrating future scenarios into life cycle assessment studies. However, approaches for integrating prospective life cycle assessment into product development are limited. The objective of this work is to provide the methodological foundation for integrating future scenarios of relevant influencing factors in the development of lightweight structures. The applicability of the novel methodology is demonstrated by a case study of a structural component in a steel, aluminium, and hybrid design. The results show that appropriate decarbonisation measures can reduce the life cycle greenhouse gas emissions by up to 95 percent until 2050. We also found that shifts in the environmentally optimal design are possible in future scenarios. Therefore, the methodology and data provided contribute to improved decision-making in product development.}},
author = {{Ostermann, Moritz and Grenz, Julian and Triebus, Marcel and Cerdas, Felipe and Marten, Thorsten and Tröster, Thomas and Herrmann, Christoph}},
issn = {{1996-1073}},
journal = {{Energies}},
keywords = {{Life Cycle Engineering, Life Cycle Assessment, Lightweight Design, Prospective LCA, Future-oriented LCA, Energy System, Material production, Sustainable production}},
number = {{8}},
publisher = {{MDPI AG}},
title = {{{Integrating Prospective Scenarios in Life Cycle Engineering: Case Study of Lightweight Structures}}},
doi = {{10.3390/en16083371}},
volume = {{16}},
year = {{2023}},
}
@article{44092,
abstract = {{We study how competition between physicians affects the provision of medical care. In
our theoretical model, physicians are faced with a heterogeneous patient population, in which patients
systematically vary with regard to both their responsiveness to the provided quality of care and their
state of health. We test the behavioral predictions derived from this model in a controlled laboratory
experiment. In line with the model, we observe that competition significantly improves patient benefits
as long as patients are able to respond to the quality provided. For those patients, who are not able
to choose a physician, competition even decreases the patient benefit compared to a situation without
competition. This decrease is in contrast to our theoretical prediction implying no change in benefits for
passive patients. Deviations from patient-optimal treatment are highest for passive patients in need of
a low quantity of medical services. With repetition, both, the positive effects of competition for active
patients as well as the negative effects of competition for passive patients become more pronounced. Our
results imply that competition can not only improve but also worsen patient outcome and that patients’
responsiveness to quality is decisive.}},
author = {{Brosig-Koch, Jeannette and Hehenkamp, Burkhard and Kokot, Johanna}},
journal = {{Health Economics}},
keywords = {{physician competition, patient characteristics, heterogeneity in quality responses, fee-for-service, laboratory experiment}},
title = {{{Who benefits from quality competition in health care? A theory and a laboratory experiment on the relevance of patient characteristics}}},
doi = {{10.1002/hec.4689}},
year = {{2023}},
}
@inproceedings{44154,
abstract = {{Abstract. Due to an increasing volume of shipments, there is a significant need for more delivery vehicles. One approach to reduce the associated increase in carbon dioxide (CO2) emissions is a new light weight design approach involving the substitution of conventional materials with glass fiber mat-reinforced thermoplastics (GMT) based on polypropylene (PP). The application of GMT by compression molding is a widely used process in the automotive industry. However, application in the commercial vehicle sector requires much larger dimensions, making it necessary to clarify whether the manufacturing process and material are suitable for semi-structural applications on this scale. To find this out, two replacement geometries are abstracted in this study and manufactured by varying the main manufacturing parameters. The feasibility can be demonstrated by recording and analyzing the resulting process variables and measuring the formed fiber distribution. At the end of the paper, recommendations are given for the production of GMT structures on the scale of commercial vehicles. }},
author = {{Lückenkötter, Julian and Leimbach, J.P. and Stallmeister, Tim and Marten, Thorsten and Tröster, Thomas}},
booktitle = {{Materials Research Proceedings}},
issn = {{978-1-64490-247-9}},
keywords = {{Compression Molding, Fiber Content, Process Development, Lightweight Design}},
location = {{Krakow, Poland}},
pages = {{249--258}},
publisher = {{Materials Research Forum LLC}},
title = {{{Feasibility Study of Compression Molding for Large Reinforcement Structures in the Commercial Vehicle Sector}}},
doi = {{10.21741/9781644902479-27}},
volume = {{28}},
year = {{2023}},
}
@article{45782,
abstract = {{The development of automotive components with reduced greenhouse gas (GHG) emissions is needed to reduce overall vehicle emissions. Life Cycle Engineering (LCE) based on Life Cycle Assessment (LCA) supports this by providing holistic information and improvement potentials regarding eco-efficient products. Key factors influencing LCAs of automotive components, such as material production, will change in the future. First approaches for integrating future scenarios for these key factors into LCE already exist, but they only consider a limited number of parameters and scenarios. This work aims to develop a method that can be practically applied in the industry for integrating prospective LCAs (pLCA) into the LCE of automotive components, considering relevant parameters and consistent scenarios. Therefore, pLCA methods are further developed to investigate the influence of future scenarios on the GHG emissions of automotive components. The practical application is demonstrated for a vehicle component with different design options. This paper shows that different development paths of the foreground and background system can shift the ecological optimum of design alternatives. Therefore, future pathways of relevant parameters must be considered comprehensively to reduce GHG emissions of future vehicles. This work contributes to the methodological and practical integration of pLCA into automotive development processes and provides quantitative results.}},
author = {{Grenz, Julian and Ostermann, Moritz and Käsewieter, Karoline and Cerdas, Felipe and Marten, Thorsten and Herrmann, Christoph and Tröster, Thomas}},
issn = {{2071-1050}},
journal = {{Sustainability}},
keywords = {{prospective LCA, life cycle engineering (LCE), lightweight design, automotive components, body parts, circular economy, steel, aluminum, hybrid materials, fiber metal laminates}},
number = {{13}},
publisher = {{MDPI AG}},
title = {{{Integrating Prospective LCA in the Development of Automotive Components}}},
doi = {{10.3390/su151310041}},
volume = {{15}},
year = {{2023}},
}
@inproceedings{45793,
abstract = {{The global megatrends of digitization and sustainability lead to new challenges for the design and management of technical products in industrial companies. Product management - as the bridge between market and company - has the task to absorb and combine the manifold requirements and make the right product-related decisions. In the process, product management is confronted with heterogeneous information, rapidly changing portfolio components, as well as increasing product, and organizational complexity. Combining and utilizing data from different sources, e.g., product usage data and social media data leads to promising potentials to improve the quality of product-related decisions. In this paper, we reinforce the need for data-driven product management as an interdisciplinary field of action. The state of data-driven product management in practice was analyzed by conducting workshops with six manufacturing companies and hosting a focus group meeting with experts from different industries. We investigate the expectations and derive requirements leading us to open research questions, a vision for data-driven product management, and a research agenda to shape future research efforts.}},
author = {{Grigoryan, Khoren and Fichtler, Timm and Schreiner, Nick and Rabe, Martin and Panzner, Melina and Kühn, Arno and Dumitrescu, Roman and Koldewey, Christian}},
booktitle = {{Procedia CIRP 33}},
keywords = {{Product Management, Data Analytics, Data-Driven Design, Product-related data, Lifecycle Data, Tool-support}},
location = {{Sydney}},
title = {{{Data-Driven Product Management: A Practitioner-Driven Research Agenda}}},
year = {{2023}},
}
@inproceedings{46500,
abstract = {{The security of Industrial Control Systems is relevant both for reliable production system operations and for high-quality throughput in terms of manufactured products. Security measures are designed, operated and maintained by different roles along product and production system lifecycles. Defense-in-Depth as a paradigm builds upon the assumption that breaches are unavoidable. The paper at hand provides an analysis of roles, corresponding Human Factors and their relevance for data theft and sabotage attacks. The resulting taxonomy is reflected by an example related to Additive Manufacturing. The results assist in both designing and redesigning Industrial Control System as part of an entire production system so that Defense-in-Depth with regard to Human Factors is built in by design.}},
author = {{Pottebaum, Jens and Rossel, Jost and Somorovsky, Juraj and Acar, Yasemin and Fahr, René and Arias Cabarcos, Patricia and Bodden, Eric and Gräßler, Iris}},
booktitle = {{2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)}},
keywords = {{Defense-in-Depth, Human Factors, Production Engineering, Product Design, Systems Engineering}},
location = {{Delft, Netherlands}},
pages = {{379--385}},
publisher = {{IEEE}},
title = {{{Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth}}},
doi = {{10.1109/eurospw59978.2023.00048}},
year = {{2023}},
}
@book{30291,
abstract = {{The volume comprises a variety of research approaches that seek to explore and understand employees’ learning and development through and for work. Working life reveals challenges through technological, economic and societal development that can only rudimentarily be addressed by formal education and training. Workplace learning becomes more and more important for employees and enterprises to successfully cope with these challenges.
Workplace learning is a steadily growing field of educational research but it lacks so far a scholastic canon – there is rather a diversity of research approaches. This volume reflects this diversity by bringing together researchers from different countries and different theoretical backgrounds, presenting their current research on topics that all are relevant for understanding presages, processes and outcomes of workplace learning. Hence, this volume is of relevance for researchers as well as practitioners in the field and policy makers.}},
editor = {{Harteis, Christian and Gijbels, David and Kyndt, Eva}},
isbn = {{9783030895815}},
issn = {{2210-5549}},
keywords = {{new generation of researchersthe team level of workplace learningindividual level of workplace learningorganizational level of workplace learningsocietal level of workplace learninginterdependent cross-level research approachesWork AgencyWork-life perspectivesTeam learningTeam climateSocial influences on team learningKnowledge construction in teamsLearning cultureAcknowledgement of competencesTechnology and professional learningCreation of a learning eco-systemDiversity as a challenge for organisationsHigher education as preparation for WPLSocial support in networks and professional learningvocational and professional education}},
publisher = {{Springer International Publishing}},
title = {{{Research Approaches on Workplace Learning}}},
doi = {{10.1007/978-3-030-89582-2}},
year = {{2022}},
}
@article{29947,
author = {{Schall, Christoph Wilhelm Theodor and Schöppner, Volker}},
journal = {{Polymer Engineering and Science}},
keywords = {{Computing Resources Provided by the Paderborn Center for Parallel Computing}},
number = {{3}},
pages = {{815--823}},
title = {{{Measurement of material degradation in dependence of shear rate, temperature, and residence time}}},
doi = {{10.1002/pen.25887}},
volume = {{62}},
year = {{2022}},
}
@article{35728,
abstract = {{Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}},
author = {{Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}},
issn = {{1019-6781}},
journal = {{Electronic Markets}},
keywords = {{Digital transformation, Public data spaces, Digital platforms, GAIA-X}},
pages = {{493--501}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{From private digital platforms to public data spaces: implications for the digital transformation}}},
doi = {{10.1007/s12525-022-00553-z}},
volume = {{32}},
year = {{2022}},
}
@article{35732,
abstract = {{While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}},
author = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
issn = {{1019-6781}},
journal = {{Electronic Markets}},
keywords = {{Platform, Text mining, Machine learning, Data communications, Interpretive research, Systems design and implementation}},
pages = {{375--396}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
doi = {{10.1007/s12525-022-00530-6}},
volume = {{32}},
year = {{2022}},
}
@inproceedings{36866,
abstract = {{Die additive Fertigung bietet die Möglichkeit, digitale Prototypen dank der
Besonderheit der werkzeuglosen Fertigung schnellstmöglich in reale Strukturen
umzusetzen. Dieses Verfahren kann jedoch nur dann mit optimaler Geschwindigkeit
genutzt werden, wenn Engpässe wirksam vermieden werden können. Einer dieser
Engpässe ist der Konstruktionsprozess. Gerade im Bereich der additiven Fertigung
sind in letzter Zeit immer leistungsfähigere Softwarelösungen erschienen, die das
Design für die additive Fertigung, einschließlich der meisten Computer-Aided-Design
(CAD)-Aufgaben, beschleunigen. In vielen Bereichen wird daher bereits versucht, so
viele Schritte wie möglich zu automatisieren, nicht selten unter Verwendung
neuronaler Netze und künstlicher Intelligenz. Dieser Beitrag zeigt am Beispiel einer
automatisierten Strukturoptimierung eines Stuhls, warum das Nutzen neuronaler
Netze im Konstruktionsprozess sinnvoll ist, um die Bereiche der konventionellen
Topologieoptimierung und des Generative Design weiter zu verknüpfen und somit die
Produktentwicklungszeit zu reduzieren.}},
author = {{Ott, Manuel and Meihöfener, Niclas and Koch, Rainer}},
booktitle = {{Bericht 407 - 7. Tagung des DVM-Arbeitskreises Additiv gefertigte Bauteile und Strukturen}},
keywords = {{Künstliche Intelligenz, Neuronale Netze, 3D-Druck, Design for Additive Manufacturing}},
location = {{Berlin}},
pages = {{91--106}},
title = {{{Neuronale Netze in der Konstruktion zur Ausschöpfung der Potentiale additiver Fertigungstechnologien}}},
doi = {{10.48447/ADD-2022-014}},
volume = {{7}},
year = {{2022}},
}
@inproceedings{32309,
abstract = {{Due to the increasing influences of a VUCA world, design thinking workshops have been established as a standard technique to build solutions according to uncertain customer needs. Concerning the ongoing pandemic and rising development of solutions across organizations, more and more workshops were conducted online with software support. However, existing software tools insufficiently address the different workshop situations in terms of the process (i.e., fixed tasks to conduct), the place (e.g., static online whiteboards), and people (i.e., synchronous working of all stakeholders).
Therefore, we propose a design science study to develop a situation-specific software support that can be configured with flexible development processes, different places, and task-related people. Based on practical experience in existing research projects, we derive the initial design requirements and map them to a set of design principles. Out of that, we design a concept with its implementation as a software tool and point out open challenges. }},
author = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}},
booktitle = {{Proceedings of the 5th International Workshop on Software-intensive Business (IWSiB'22) }},
keywords = {{design thinking, situation-specific, cross-organizational, software support}},
publisher = {{ACM}},
title = {{{Towards Situation-specific Software Support for Cross-organizational Design Thinking Processes}}},
year = {{2022}},
}
@article{29948,
author = {{Brüning, Florian and Schöppner, Volker}},
journal = {{Polymers 14}},
keywords = {{Computing Resources Provided by the Paderborn Center for Parallel Computing}},
title = {{{Numerical Simulation of Solids Conveying in Grooved Feed Sections of Single Screw Extruders}}},
doi = {{https://doi.org/10.3390/polym14020256}},
year = {{2022}},
}
@article{31691,
abstract = {{Sustainable product engineering is becoming increasingly important. This includes the development of environmentally friendly products and the design for recycling. In this paper a holistic method for the assessment of solution alternatives is presented, in which the stakeholder perspectives along the generic product lifecycle are taken into account. Finally, a new visualization is presented. By visualizing the results in the integrated sustainability triangle, decision-makers in product development can holistically assess the sustainability of the solution alternatives.}},
author = {{Gräßler, Iris and Hesse, Philipp}},
issn = {{2732-527X}},
journal = {{Proceedings of the Design Society}},
keywords = {{sustainability, decision making, generic product lifecycle, design analysis, ecodesign}},
pages = {{1001--1010}},
publisher = {{Cambridge University Press (CUP)}},
title = {{{Approach to Sustainability-Based Assessment of Solution Alternatives in Early Stages of Product Engineering}}},
doi = {{10.1017/pds.2022.102}},
volume = {{2}},
year = {{2022}},
}
@article{33684,
author = {{Schade, Robert and Kenter, Tobias and Elgabarty, Hossam and Lass, Michael and Schütt, Ole and Lazzaro, Alfio and Pabst, Hans and Mohr, Stephan and Hutter, Jürg and Kühne, Thomas and Plessl, Christian}},
issn = {{0167-8191}},
journal = {{Parallel Computing}},
keywords = {{Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Hardware and Architecture, Theoretical Computer Science, Software}},
publisher = {{Elsevier BV}},
title = {{{Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms}}},
doi = {{10.1016/j.parco.2022.102920}},
volume = {{111}},
year = {{2022}},
}
@inproceedings{29803,
abstract = {{Ultrasonic wire bonding is a solid-state joining process used to form electrical interconnections in micro and
power electronics and batteries. A high frequency oscillation causes a metallurgical bond deformation in
the contact area. Due to the numerous physical influencing factors, it is very difficult to accurately capture
this process in a model. Therefore, our goal is to determine a suitable feed-forward control strategy for the
bonding process even without detailed model knowledge. We propose the use of batch constrained Bayesian
optimization for the control design. Hence, Bayesian optimization is precisely adapted to the application of
bonding: the constraint is used to check one quality feature of the process and the use of batches leads to
more efficient experiments. Our approach is suitable to determine a feed-forward control for the bonding
process that provides very high quality bonds without using a physical model. We also show that the quality
of the Bayesian optimization based control outperforms random search as well as manual search by a user.
Using a simple prior knowledge model derived from data further improves the quality of the connection.
The Bayesian optimization approach offers the possibility to perform a sensitivity analysis of the control
parameters, which allows to evaluate the influence of each control parameter on the bond quality. In summary,
Bayesian optimization applied to the bonding process provides an excellent opportunity to develop a feedforward
control without full modeling of the underlying physical processes.}},
author = {{Hesse, Michael and Hunstig, Matthias and Timmermann, Julia and Trächtler, Ansgar}},
booktitle = {{Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)}},
isbn = {{978-989-758-549-4}},
keywords = {{Bayesian optimization, Wire bonding, Feed-forward control, model-free design}},
location = {{Online}},
pages = {{383--394}},
title = {{{Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design}}},
year = {{2022}},
}
@misc{25126,
abstract = {{Motivated by the prospect of computing agents that explore unknown environments and construct convex hulls on the nanoscale, we investigate the capabilities and limitations of a single deterministic finite automaton robot in the three-dimensional hybrid model for programmable matter. In this model, active robots move on a set of passive tiles, called configuration, with the geometric shape of rhombic dodecahedra on the adjacency graph of the face-centered cubic sphere-packing. We show that the exploration problem is equally hard in the hybrid model and in three-dimensional mazes, in which tiles have the shape of cubes and are positioned at the vertices of $\mathbb{Z}^3$. Thereby, a single robot with a constant number of pebbles cannot solve this problem in the hybrid model on arbitrary configurations. We provide algorithms for a robot with two pebbles that solve the exploration problem in the subclass of compact configurations of size $n$ in $\O(n^3)$ rounds. Further, we investigate the robot's capabilities of detection and hull construction in terms of restricted orientation convexity. We show that a robot without any pebble can detect strong $\O$-convexity in $\O(n)$ rounds, but cannot detect weak $\O$-convexity, not even if provided with a single pebble. Assuming that a robot can construct tiles from scratch and deconstruct previously constructed tiles, we show that the strong $\O$-hull of any given configuration of size $n$ can be constructed in $\O(n^4)$ rounds, even if the robot cannot distinguish constructed from native tiles.}},
author = {{Liedtke, David Jan}},
keywords = {{Robot Exploration, Finite Automaton, Hybrid Model for Programmable Matter, Convex Hull}},
title = {{{Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model}}},
year = {{2021}},
}