@book{GaenzHinzHuhnetal.2022, author = {G{\"a}nz, Victoria and Hinz, Carsten and Huhn, Nicola and Klitsch, Constantin and L{\"o}ffler, Robert and Meis, Robin and Penning, Isabelle and Richter, Christin and Schellen, Ricarda and Schr{\"o}dter, Ayla and Schulz, Oliver and Simon, Veronika and Trojecka, Anetta and Verwohlt, Peter and Vogler, Christin and Vogt, Birgit}, title = {\#Gesellschaftslehre 7/8}, volume = {[Sch{\"u}lerband]}, publisher = {C.C. Buchner}, address = {Bamberg}, isbn = {978-3-661-70052-6}, pages = {400}, year = {2022}, language = {de} } @book{AkyaziBergmannDieterichsetal.2023, author = {Akyazi, Mehmet and Bergmann, Dana and Dieterichs, Michael and G{\"a}nz, Victoria and Hinz, Carsten and Huhn, Nicola and Klitsch, Constantin and Koch, Hayo and L{\"o}ffler, Robert and Meis, Robin and Penning, Isabelle and Rasky, Nicolai and Richter, Christin and Schellen, Ricarda and Schr{\"o}dter, Ayla and Schulz, Oliver and Simon, Veronika and Trojecka, Anetta and Verwohlt, Peter and Vogler, Christin and Vogt, Birgit}, title = {\#Gesellschaftslehre 9/10}, volume = {[Sch{\"u}lerband]}, publisher = {C.C. Buchner}, address = {Bamberg}, isbn = {978-3-661-70053-3}, pages = {464}, year = {2023}, language = {de} } @misc{EgbertHammerHansenetal.2020, author = {Egbert, Bj{\"o}rn and Hammer, Carolin and Hansen, Barbara and Hassan-Yavuz, Safyah and Hinz, Carsten and Huhn, Nicola and Kost, Andr{\´e} and L{\"o}ffler, Robert and Schulz, Oliver and Simon, Veronika and Tuncel, Teresa}, title = {\#Politik Wirtschaft NRW click teach 5/6 Box}, publisher = {C.C. Buchner}, address = {Bamberg}, isbn = {978-3-661-70076-2}, year = {2020}, language = {de} } @incollection{ProellerSiegel2022, author = {Proeller, Isabella and Siegel, John}, title = {'Tools' in public management}, series = {Elgar encyclopedia of public management}, booktitle = {Elgar encyclopedia of public management}, editor = {Schedler, Kuno}, publisher = {Edward Elgar Publishing}, address = {Cheltenham}, isbn = {978-1-80037-548-2}, doi = {10.4337/9781800375499.tools}, pages = {186 -- 190}, year = {2022}, abstract = {Tools are methods or procedures, and thus operational patterns of action, applied in public administrations to solve standard problems. It is also possible to consider them as structured communication according to professional standards aiming at complexity reduction. Regularly, tools in management stem on a deductive-synoptic rationale offering a seemingly 'objective' decision basis. They have a strong formative influence on the organization, regularly also beyond the intended effects. The prominence of tools is sometimes confused with management as such, e.g. introducing tools is mistaken as equivalent to managing for a particular purpose. However, tools have to be closely and carefully managed regarding the objectives and purposes they should serve.}, language = {en} } @incollection{ThimGrumSchueffleretal.2021, author = {Thim, Christof and Grum, Marcus and Sch{\"u}ffler, Arnulf and Roling, Wiebke and Kluge, Annette and Gronau, Norbert}, title = {A concept for a distributed Interchangeable knowledge base in CPPS}, series = {Towards sustainable customization: cridging smart products and manufacturing systems}, booktitle = {Towards sustainable customization: cridging smart products and manufacturing systems}, editor = {Andersen, Ann-Louise and Andersen, Rasmus and Brunoe, Thomas Ditlev and Larsen, Maria Stoettrup Schioenning and Nielsen, Kjeld and Napoleone, Alessia and Kjeldgaard, Stefan}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-90699-3}, doi = {10.1007/978-3-030-90700-6_35}, pages = {314 -- 321}, year = {2021}, abstract = {As AI technology is increasingly used in production systems, different approaches have emerged from highly decentralized small-scale AI at the edge level to centralized, cloud-based services used for higher-order optimizations. Each direction has disadvantages ranging from the lack of computational power at the edge level to the reliance on stable network connections with the centralized approach. Thus, a hybrid approach with centralized and decentralized components that possess specific abilities and interact is preferred. However, the distribution of AI capabilities leads to problems in self-adapting learning systems, as knowledgebases can diverge when no central coordination is present. Edge components will specialize in distinctive patterns (overlearn), which hampers their adaptability for different cases. Therefore, this paper aims to present a concept for a distributed interchangeable knowledge base in CPPS. The approach is based on various AI components and concepts for each participating node. A service-oriented infrastructure allows a decentralized, loosely coupled architecture of the CPPS. By exchanging knowledge bases between nodes, the overall system should become more adaptive, as each node can "forget" their present specialization.}, language = {en} } @misc{PanzerBenderGronau2023, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {A deep reinforcement learning based hyper-heuristic for modular production control}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, issn = {1867-5808}, doi = {10.25932/publishup-60564}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605642}, pages = {24}, year = {2023}, abstract = {In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.}, language = {en} } @article{PanzerBenderGronau2023, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {A deep reinforcement learning based hyper-heuristic for modular production control}, series = {International journal of production research}, journal = {International journal of production research}, publisher = {Taylor \& Francis}, address = {London}, issn = {0020-7543}, doi = {10.1080/00207543.2023.2233641}, pages = {1 -- 22}, year = {2023}, abstract = {In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.}, language = {en} } @article{Brandenburger2022, author = {Brandenburger, Bonny}, title = {A multidimensional and analytical perspective on Open Educational Practices in the 21st century}, series = {Frontiers in education}, volume = {7}, journal = {Frontiers in education}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {2504-284X}, doi = {10.3389/feduc.2022.990675}, pages = {17}, year = {2022}, abstract = {Participatory approaches to teaching and learning are experiencing a new lease on life in the 21st century as a result of the rapid technology development. Knowledge, practices, and tools can be shared across spatial and temporal boundaries in higher education by means of Open Educational Resources, Massive Open Online Courses, and open-source technologies. In this context, the Open Education Movement calls for new didactic approaches that encourage greater learner participation in formal higher education. Based on a representative literature review and focus group research, in this study an analytical framework was developed that enables researchers and practitioners to assess the form of participation in formal, collaborative teaching and learning practices. The analytical framework is focused on the micro-level of higher education, in particular on the interaction between students and lecturers when organizing the curriculum. For this purpose, the research reflects anew on the concept of participation, taking into account existing stage models for participation in the educational context. These are then brought together with the dimensions of teaching and learning processes, such as methods, objectives and content, etc. This paper aims to make a valuable contribution to the opening up of learning and teaching, and expands the discourse around possibilities for interpreting Open Educational Practices.}, language = {en} } @misc{Brandenburger2022, author = {Brandenburger, Bonny}, title = {A multidimensional and analytical perspective on Open Educational Practices in the 21st century}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschaft- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschaft- und Sozialwissenschaftliche Reihe}, number = {157}, issn = {1867-5808}, doi = {10.25932/publishup-58777}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-587770}, pages = {17}, year = {2022}, abstract = {Participatory approaches to teaching and learning are experiencing a new lease on life in the 21st century as a result of the rapid technology development. Knowledge, practices, and tools can be shared across spatial and temporal boundaries in higher education by means of Open Educational Resources, Massive Open Online Courses, and open-source technologies. In this context, the Open Education Movement calls for new didactic approaches that encourage greater learner participation in formal higher education. Based on a representative literature review and focus group research, in this study an analytical framework was developed that enables researchers and practitioners to assess the form of participation in formal, collaborative teaching and learning practices. The analytical framework is focused on the micro-level of higher education, in particular on the interaction between students and lecturers when organizing the curriculum. For this purpose, the research reflects anew on the concept of participation, taking into account existing stage models for participation in the educational context. These are then brought together with the dimensions of teaching and learning processes, such as methods, objectives and content, etc. This paper aims to make a valuable contribution to the opening up of learning and teaching, and expands the discourse around possibilities for interpreting Open Educational Practices.}, language = {en} } @article{PreussvanderWijst2017, author = {Preuss, Melanie and van der Wijst, Per}, title = {A phase-specific analysis of negotiation styles}, series = {The journal of business \& industrial marketing}, volume = {32}, journal = {The journal of business \& industrial marketing}, number = {4}, publisher = {Emerald Group Publishing Limited}, address = {Bingley}, issn = {0885-8624}, doi = {10.1108/JBIM-01-2016-0010}, pages = {505 -- 518}, year = {2017}, abstract = {Purpose - The purpose of this study is to analyze whether negotiators stick to one single negotiation style or whether their styles vary during the negotiation process. The paper seeks to identify different combinations of phase-specific negotiation styles and investigates the relationship between these combinations and negotiation performance and satisfaction. Design/methodology/approach - The study is based on a large online negotiation simulation that allows a phase-specific analysis of negotiation styles via an elaborate coding scheme. Findings - The findings reveal that negotiators generally do not limit themselves to a single negotiation style. Instead, they vary their style in the course of different negotiation phases. The authors distinguish between five distinct phase-specific negotiation style patterns that differ with regard to their impact on negotiation performance but not negotiation satisfaction. Practical implications - Negotiation practitioners get to know different phase-specific negotiation style patterns and get insights into which pattern is the most promising for negotiation performance. As a result, they can acquire this phase-specific negotiation style pattern to enhance their performance. Originality/value - The paper contributes to existing negotiation style literature, because it is the first to analyze negotiation styles from a phase-specific point of view.}, language = {en} }