Wetzel, S. ., & Bertel, S. . (2018). Extraction of Time Dependent Physical Rotation Strategies. 14th biannual conference of the German Society for Cognitive Science, GK. Tübingen. Germany.
Demirsoy, A. ., & Petersen, K. . (2018). Semantic Knowledge Management System to Support Software Engineers: Implementation and Static Evaluation through Interviews at Ericsson. E-Informatica Software Engineering Journal, 12.
Wallbaum, T. ., Matviienko, A. ., Ananthanarayan, S. ., Olsson, T. ., Heuten, W. ., & Boll, S. C. (2018). Supporting communication between grandparents and grandchildren through tangible storytelling systems. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (S. 1–12).
Brandenburg, M. ., & Hahn, G. J. (2018). Sustainable aggregate production planning in the chemical process industry - A benchmark problem and dataset. Data in Brief, 18, 961–967. http://doi.org/10.1016/j.dib.2018.03.064
Abstract
Process industries typically involve complex manufacturing operations and thus require adequate decision support for aggregate production planning (APP). The need for powerful and efficient approaches to solve complex APP problems persists. Problem-specific solution approaches are advantageous compared to standardized approaches that are designed to provide basic decision support for a broad range of planning problems but inadequate to optimize under consideration of specific settings. This in turn calls for methods to compare different approaches regarding their computational performance and solution quality. In this paper, we present a benchmarking problem for APP in the chemical process industry. The presented problem focuses on (i) sustainable operations planning involving multiple alternative production modes/routings with specific production-related carbon emission and the social dimension of varying operating rates and (ii) integrated campaign planning with production mix/volume on the operational level. The mutual trade-offs between economic, environmental and social factors can be considered as externalized factors (production-related carbon emission and overtime working hours) as well as internalized ones (resulting costs). We provide data for all problem parameters in addition to a detailed verbal problem statement. We refer to Hahn and Brandenburg [1] for a first numerical analysis based on and for future research perspectives arising from this benchmarking problem.
Ullmann, N. ., & Cordts, S. . (2018). Empfehlungssysteme für die Produktkonfiguration mit Methoden des maschinellen Lernens. (B. . u.a., Hrsg.) (Tagungsband zur 31. AKWI-Jahrestagung). mana-Buch Verlag.
Papatheocharous, E. ., Wnuk, K. ., Petersen, K. ., Sentilles, S. everine, Cicchetti, A. ., Gorschek, T. ., & Shah, S. M. A. (2018). The GRADE taxonomy for supporting decision-making of asset selection in software-intensive system development. Information and Software Technology, 100, 1–17.
Birkner, S. ., Ettl, K. ., Welter, F. ., & Ebbers, I. . (Hrsg.). (2018). Women s Entrepreneurship in Europe : Multidimensional Research and Case Study Insights. Cham, Switzerland : Springer International Publishing AG. http://doi.org/10.1007/978-3-319-96373-0 [DOI]
Abstract
This volume addresses the current challenges for and future prospects of women’s entrepreneurship research, bringing together a wealth of diverse insights with implications for research, education and practice alike. Presenting theoretical and empirical research papers and case studies, the book not only offers a topical reference guide for entrepreneurship researchers and educators, but also provides essential reading material for students interested in questions addressing diverse aspects of the challenges to and future academic and practical prospects of women’s entrepreneurship Part 1: Research Studies — 1. Women’s Entrepreneurship in Europe - Research Facets and Educational Foci — 2. Female Migrant Entrepreneurship in Germany - Determinants and Recent Developments — 3. Business Transferability Chances: Does the Gender of the Owner-Manager Matter? — 4. Does gender make a difference? Gender differences in the motivations and strategies of female and male academic entrepreneurs — 5. Towards Emancipatory Aspects of Women’s Entrepreneurship: An Alternative Model of Women’s Entrepreneurial Self-Efficacy in Patriarchal Societies — 6. Women entrepreneurship in Estonia: Formal and informal institutional context — 7. Entrepreneurship Education and Gender in Europe: A Systematic Literature Review of Studies in Higher Education — Part 2: Case Studies — 8. Coming to Entrepreneurial Berlin and Making their Way in Silicon Allee: The Ups and Downs of Two Women Entrepreneurs — 9. Allure and Reality in FemTec Entrepreneurship: A Case Study of a Female Entrepreneur who Struggled in the Mechanical Engineering Entrepreneurial Ecosystem in Germany — 10. The Female Hunting Instinct: Entrepreneurial Life in Germany
Taulien, A. ., Paulsen, A. ., Streland, T. ., Gröfke, L. ., Reinhold, S. ., & Teistler, M. . (2018). Audiorekorder zur kindgerechten Interaktion mit der Stimme. In Mensch und Computer 2018 - Tagungsband. Bonn: Gesellschaft für Informatik e.V. http://doi.org/10.18420/muc2018-mci-0425
Fuchkina, E. ., Schneider, S. ., Bertel, S. ., & Osintseva, I. . (2018). Design Space Exploration Framework - A modular approach to flexibly explore large sets of design variants of parametric models within a single environment. Computing for a better tomorrow - the 36th eCAADe Conference. Lodz, Poland: Lodz University of Technology.
Abstract
Parametric modelling allows to relatively easily generate large sets of design variants (so called design space). Typically, a designer intuitively moves through this design space, resulting in one or several satisfying solutions. Due to the theoretically large number of variants that can be created with parametric models, obviously, there is a high probability that potentially good solutions could be missed, which is not at least because of human cognitive limitations. Consequently, it is necessary to develop a certain strategy to support designers in order to search for design solutions. Even though, various methods to systematically approach large data sets exist, the application of them in the design process is a special case, firstly, due to the existence of many non-specifiable and subjective dimensions (e.g. aesthetics) and secondly because of the multiple ways how designers actually search for solutions. This demands for a more flexible approach to design space exploration. This paper investigates how different methods can be combined to support the exploration of design spaces. Therefore, a conceptual framework with a modular architecture is proposed and its prototypical implementation is demonstrated.
Kreuzhof, R. ., & Firma>, R. H. <. (2018). Wirtschaftsethik : Ethikmanagement und Technikbewertung : Einführung in die Theorie und Grundlagen für die Praxis. Augsburg : Rainer Hampp Verlag. http://doi.org/10.978.395710/3031 [DOI]