@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}},
}

@inproceedings{37497,
  abstract     = {{Since historical times, cartographic maps have revealed spatial relations and enabled decisions and processes. Geographic Information Systems (GIS) allow for acquisition, management, analysis, and presentation of geospatial objects. With free geospatial data becoming available through open data policies and an increasing amount of digitally connected objects in the Internet of Things (IoT), GIS are becoming indispensable to Information Systems (IS) research. However, the consideration and relevance of GIS has only been investigated rarely. We examine, how and in which fields of application GIS have been studied in the IS literature and elicit the importance of GIS regarding their design and usage. A systematic literature review leads us to develop four research propositions. Our results indicate that GIS are still an undeservedly underrepresented discipline in IS and should be more theorized, put center-stage in design-oriented research, and considered for creating superior value co-creation in service systems.}},
  author       = {{Priefer, Jennifer}},
  booktitle    = {{Proceedings of the 56th Hawaii International Conference on System Sciences}},
  editor       = {{Bui, T.X. and Sprague, R.H.}},
  keywords     = {{GIS, Industry 4.0, and Sustainability, geographic information systems, geospatial data, gis, information systems research, literature review}},
  title        = {{{Geographic Information Systems in Information Systems Research - Review and Research Prospects}}},
  year         = {{2023}},
}

@inproceedings{33490,
  abstract     = {{Algorithmic fairness in Information Systems (IS) is a concept that aims to mitigate systematic discrimination and bias in automated decision-making. However, previous research argued that different fairness criteria are often incompatible. In hiring, AI is used to assess and rank applicants according to their fit for vacant positions. However, various types of bias also exist for AI-based algorithms (e.g., using biased historical data). To reduce AI’s bias and thereby unfair treatment, we conducted a systematic literature review to identify suitable strategies for the context of hiring. We identified nine fundamental articles in this context and extracted four types of approaches to address unfairness in AI, namely pre-process, in-process, post-process, and feature selection. Based on our findings, we (a) derived a research agenda for future studies and (b) proposed strategies for practitioners who design and develop AIs for hiring purposes.}},
  author       = {{Rieskamp, Jonas and Hofeditz, Lennart and Mirbabaie, Milad and Stieglitz, Stefan}},
  booktitle    = {{Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS)}},
  keywords     = {{fairness in AI, SLR, hiring, AI implementation, AI-based algorithms}},
  title        = {{{Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research}}},
  year         = {{2023}},
}

@article{43464,
  abstract     = {{<jats:p>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.</jats:p>}},
  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{44077,
  author       = {{Maack, Marten}},
  issn         = {{0167-6377}},
  journal      = {{Operations Research Letters}},
  keywords     = {{Applied Mathematics, Industrial and Manufacturing Engineering, Management Science and Operations Research, Software}},
  number       = {{3}},
  pages        = {{220--225}},
  publisher    = {{Elsevier BV}},
  title        = {{{Online load balancing on uniform machines with limited migration}}},
  doi          = {{10.1016/j.orl.2023.02.013}},
  volume       = {{51}},
  year         = {{2023}},
}

@inproceedings{44154,
  abstract     = {{<jats:p>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. </jats:p>}},
  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{44672,
  abstract     = {{With enhancing digitalization, condition monitoring is used in an increasing number of application fields across various industrial sectors. By its application, increased reliability as well as reduced risks and costs can be achieved. Based on different approaches, technical systems are monitored and measured data is analyzed to enable condition-based or predictive maintenance. To this end, machine learning approaches are usually implemented to diagnose the health states or predict the health index of the monitored system. However, these trained models are often black-box models, not intuitively explainable for a human. To overcome this shortcoming, a model-based approach based on physics is developed for piezoelectric bending actuators. Such a model enables a transparent representation of the system. Moreover, the model-based approach is extended by a parameter-estimation to account for sudden changes in behavior e. g. caused by occurring cracks.}},
  author       = {{Bender, Amelie}},
  issn         = {{0924-4247}},
  journal      = {{Sensors and Actuators A: Physical}},
  keywords     = {{Condition Monitoring, Model-based approach Diagnostics, Varying conditions, Explainability, Piezoelectric bending actuators}},
  publisher    = {{Elsevier BV}},
  title        = {{{Model-based condition monitoring of piezoelectric bending actuators}}},
  doi          = {{10.1016/j.sna.2023.114399}},
  volume       = {{357}},
  year         = {{2023}},
}

@article{44687,
  abstract     = {{Entwicklungsprojekte stehen in einem Spannungsfeld von Volatilität, Unsicherheit, Komplexität und Ambiguität (VUCA). Resilient Requirements Engineering (RRE) ist ein vielversprechender Ansatz, diesen Rahmenbedingungen gerecht zu werden und erfolgreich zu entwickeln. Es werden Methoden aus den drei Innovationsfeldern des RRE – Vorausschau, Effizienz und Nachhaltigkeit – angewendet, um Effizienzpotenziale in der Produktentwicklung zu nutzen und frühzeitig Nachhaltigkeitsdimensionen in der Ermittlung von Stakeholderbedürfnissen zu verankern.}},
  author       = {{Gräßler, Iris and Oleff, Christian and Preuß, Daniel and Koch, Anna-Sophie}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  keywords     = {{Management Science and Operations Research, Strategy and Management, General Engineering}},
  number       = {{4}},
  pages        = {{222--225}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Resilient Requirements Engineering}}},
  doi          = {{10.1515/zwf-2023-1030}},
  volume       = {{118}},
  year         = {{2023}},
}

@article{44857,
  abstract     = {{Ancestral reconstruction is a classic task in comparative genomics. Here, we study the genome median problem, a related computational problem which, given a set of three or more genomes, asks to find a new genome that minimizes the sum of pairwise distances between it and the given genomes. The distance stands for the amount of evolution observed at the genome level, for which we determine the minimum number of rearrangement operations necessary to transform one genome into the other. For almost all rearrangement operations the median problem is NP-hard, with the exception of the breakpoint median that can be constructed efficiently for multichromosomal circular and mixed genomes. In this work, we study the median problem under a restricted rearrangement measure called c4-distance, which is closely related to the breakpoint and the DCJ distance. We identify tight bounds and decomposers of the c4-median and develop algorithms for its construction, one exact ILP-based and three combinatorial heuristics. Subsequently, we perform experiments on simulated data sets. Our results suggest that the c4-distance is useful for the study the genome median problem, from theoretical and practical perspectives.}},
  author       = {{Silva, Helmuth O.M. and Rubert, Diego P. and Araujo, Eloi and Steffen, Eckhard and Doerr, Daniel and Martinez, Fábio V.}},
  issn         = {{0399-0559}},
  journal      = {{RAIRO - Operations Research}},
  keywords     = {{Management Science and Operations Research, Computer Science Applications, Theoretical Computer Science}},
  number       = {{3}},
  pages        = {{1045--1058}},
  publisher    = {{EDP Sciences}},
  title        = {{{Algorithms for the genome median under a restricted measure of rearrangement}}},
  doi          = {{10.1051/ro/2023052}},
  volume       = {{57}},
  year         = {{2023}},
}

@article{45782,
  abstract     = {{<jats:p>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.</jats:p>}},
  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}},
}

@article{46487,
  author       = {{Zander, K.K. and Nguyen, D. and Mirbabaie, Milad and Garnett, S.T.}},
  issn         = {{2212-4209}},
  journal      = {{International Journal of Disaster Risk Reduction}},
  keywords     = {{Geology, Safety Research, Geotechnical Engineering and Engineering Geology, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{Aware but not prepared: understanding situational awareness during the century flood in Germany in 2021}}},
  doi          = {{10.1016/j.ijdrr.2023.103936}},
  volume       = {{96}},
  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{30861,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>We consider the problem of maximization of metabolite production in bacterial cells formulated as a dynamical optimal control problem (DOCP). According to Pontryagin’s maximum principle, optimal solutions are concatenations of singular and bang arcs and exhibit the chattering or <jats:italic>Fuller</jats:italic> phenomenon, which is problematic for applications. To avoid chattering, we introduce a reduced model which is still biologically relevant and retains the important structural features of the original problem. Using a combination of analytical and numerical methods, we show that the singular arc is dominant in the studied DOCPs and exhibits the <jats:italic>turnpike</jats:italic> property. This property is further used in order to design simple and realistic suboptimal control strategies.</jats:p>}},
  author       = {{Caillau, Jean-Baptiste and Djema, Walid and Gouzé, Jean-Luc and Maslovskaya, Sofya and Pomet, Jean-Baptiste}},
  issn         = {{0022-3239}},
  journal      = {{Journal of Optimization Theory and Applications}},
  keywords     = {{Applied Mathematics, Management Science and Operations Research, Control and Optimization}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Turnpike Property in Optimal Microbial Metabolite Production}}},
  doi          = {{10.1007/s10957-022-02023-0}},
  year         = {{2022}},
}

@inproceedings{29842,
  abstract     = {{To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}},
  booktitle    = {{Proceedings of the 18th International Conference on Software Architecture Companion }},
  keywords     = {{continuous experimentation, model-driven, component-based software architectures, self-adaptation}},
  location     = {{Hawaii}},
  publisher    = {{IEEE}},
  title        = {{{Model-driven Continuous Experimentation on Component-based Software Architectures }}},
  doi          = {{10.1109/ICSA-C54293.2022.00011}},
  year         = {{2022}},
}

@inproceedings{29220,
  abstract     = {{Modern services often comprise several components, such as chained virtual network functions, microservices, or
machine learning functions. Providing such services requires to decide how often to instantiate each component, where to place these instances in the network, how to chain them and route traffic through them. 
To overcome limitations of conventional, hardwired heuristics, deep reinforcement learning (DRL) approaches for self-learning network and service management have emerged recently. These model-free DRL approaches are more flexible but typically learn tabula rasa, i.e., disregard existing understanding of networks, services, and their coordination. 

Instead, we propose FutureCoord, a novel model-based AI approach that leverages existing understanding of networks and services for more efficient and effective coordination without time-intensive training. FutureCoord combines Monte Carlo Tree Search with a stochastic traffic model. This allows FutureCoord to estimate the impact of future incoming traffic and effectively optimize long-term effects, taking fluctuating demand and Quality of Service (QoS) requirements into account. Our extensive evaluation based on real-world network topologies, services, and traffic traces indicates that FutureCoord clearly outperforms state-of-the-art model-free and model-based approaches with up to 51% higher flow success ratios.}},
  author       = {{Werner, Stefan and Schneider, Stefan Balthasar and Karl, Holger}},
  booktitle    = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}},
  keywords     = {{network management, service management, AI, Monte Carlo Tree Search, model-based, QoS}},
  location     = {{Budapest}},
  publisher    = {{IEEE}},
  title        = {{{Use What You Know: Network and Service Coordination Beyond Certainty}}},
  year         = {{2022}},
}

@phdthesis{29763,
  abstract     = {{Modern-day communication has become more and more digital. While this comes with many advantages such as a more efficient economy, it has also created more and more opportunities for various adversaries to manipulate communication or eavesdrop on it. The Snowden revelations in 2013 further highlighted the seriousness of these threats. To protect the communication of people, companies, and states from such threats, we require cryptography with strong security guarantees.
Different applications may require different security properties from cryptographic schemes. For most applications, however, so-called adaptive security is considered a reasonable minimal requirement of security. Cryptographic schemes with adaptive security remain secure in the presence of an adversary that can corrupt communication partners to respond to messages of the adversaries choice, while the adversary may choose the messages based on previously observed interactions.
While cryptography is associated the most with encryption, this is only one of many primitives that are essential for the security of digital interactions. This thesis presents novel identity-based encryption (IBE) schemes and verifiable random functions (VRFs) that achieve adaptive security as outlined above. Moreover, the cryptographic schemes presented in this thesis are proven secure in the standard model. That is without making use of idealized models like the random oracle model.}},
  author       = {{Niehues, David}},
  keywords     = {{public-key cryptography, lattices, pairings, verifiable random functions, identity-based encryption}},
  title        = {{{More Efficient Techniques for Adaptively-Secure Cryptography}}},
  doi          = {{10.25926/rdtq-jw45}},
  year         = {{2022}},
}

@article{33701,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Künstliche Intelligenz bietet großes Potenzial im Engineering. Der Einsatz gestattet insbesondere für Wissensarbeiter eine effiziente Arbeitsteilung, in der beispielsweise fehleranfällige und repetitive Aktivitäten unterstützt werden. Eine erfolgreiche Einführung bedarf einer vorangehenden Analyse von nutzenstiftenden Einsatzpotenzialen, bei der alle Anwendenden frühzeitig einbezogen werden. Der folgende Beitrag verdeutlicht dieses Vorgehen anhand eines realen Beispiels im Sondermaschinenbau.</jats:p>}},
  author       = {{Kharatyan, Aschot and Humpert, Lynn and Anacker, Harald and Dumitrescu, Roman and Wäschle, Moritz and Albers, Albert and Horstmeyer, Sarah}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  keywords     = {{Management Science and Operations Research, Strategy and Management, General Engineering}},
  number       = {{6}},
  pages        = {{427--431}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Künstliche Intelligenz im Engineering}}},
  doi          = {{10.1515/zwf-2022-1074}},
  volume       = {{117}},
  year         = {{2022}},
}

@article{33710,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Um global erfolgreich zu bleiben, wird es bald nicht mehr ausreichen, Kriterien wie ein gutes Produktdesign zu erfüllen. Stattdessen muss der Kundennutzen kontinuierlich über den Produktlebenszyklus hinaus gesteigert werden. Tech-Konzerne verzeichnen bereits Erfolge und verkörpern den Wandel schon heute. Vor diesem Hintergrund ist ein neues Leitbild in der Entwicklung und dem Betrieb von zukünftigen, technischen Systemen erforderlich. EngOps soll diesen Bedarf decken und steht für die agile Kollaboration zwischen Engineering und Operations. Alle Teile des Unternehmens sollen ständig miteinander kooperieren, um so beispielsweise wandelbare Produkte auch nach dem Verkauf entwickeln zu können.</jats:p>}},
  author       = {{Anacker, Harald and Dumitrescu, Roman and Michels, Nico and Rasor, Rik}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  keywords     = {{Management Science and Operations Research, Strategy and Management, General Engineering}},
  number       = {{6}},
  pages        = {{405--409}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{EngOps – Ein Leitbild für das agile Zusammenwirken von Engineering und Operations}}},
  doi          = {{10.1515/zwf-2022-1069}},
  volume       = {{117}},
  year         = {{2022}},
}