TY - CHAP A1 - Vökler, Sascha A1 - Krausche, Daniel A1 - Baier, Daniel ED - Lausen, Berthold ED - Poel, Dirk van den ED - Ultsch, Alfred T1 - Product Design Optimization Using Ant Colony And Bee Algorithms: A Comparison T2 - Algorithms from and for Nature and Life: Classification and Data Analysis Y1 - 2013 UR - http://www.springer.com/statistics/computational+statistics/book/978-3-319-00034-3 SN - 978-3-319-00035-0 SP - 491 EP - 498 PB - Springer CY - Heidelberg [u.a.] ER - TY - CHAP A1 - Vökler, Sascha A1 - Baier, Daniel ED - Spiliopoulou, Myra ED - Schmidt-Thieme, Lars ED - Janning, Ruth T1 - Solving Product Line Design Optimization Problems Using Stochastic Programming T2 - Data Analysis, Machine Learning and Knowledge Discovery Y1 - 2014 UR - http://www.springer.com/statistics/computational+statistics/book/978-3-319-01594-1 SN - 978-3-319-01595-8 SP - 235 EP - 243 PB - Springer CY - Heidelberg-Berlin ER - TY - CHAP A1 - Vökler, Sascha A1 - Thimm, Denny A1 - Mißler-Behr, Magdalena ED - Mieke, Christian ED - Cord, Siemon T1 - Effiziente Gründungsförderung in strukturschwachen Regionen – Ansätze zur zentralen Koordinierung T2 - Gründung und Innovation Y1 - 2017 SN - 978-3-8325-4430-0 SP - 145 EP - 164 PB - Logos Verlag CY - Berlin ER - TY - THES A1 - Vökler, Sascha T1 - Machine-Learning-Verfahren in der Produktlinienoptimierung - Simulationsrechnungen und Robustheit KW - Combinatorial optimization; Conjoint analysis; Machine learning; Product line optimization; Robustness Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-opus4-55796 ER - TY - GEN A1 - Baier, Daniel A1 - Vökler, Sascha T1 - One-stage product-line design heuristics: an empirical comparison T2 - OR Spectrum N2 - Selecting or adjusting attribute-levels (e.g. components, equipments, flavors, ingredients, prices, tastes) for multiple new and/or status quo products is an important task for a focal firm in a dynamic market. Usually, the goal is to maximize expected overall buyers’ welfare based on consumers’ partworths or expected revenue, market share, and profit under given assumptions. However, in general, these so-called product-line design problems cannot be solved exactly in acceptable computing time. Therefore, heuristics have been proposed: Two-stage heuristics select promising candidates for single products and evaluate sets of them as product-lines. One-stage heuristics directly search for multiple attribute-level combinations. In this paper, Ant Colony Optimization, Genetic Algorithms, Particle Swarm Optimization, Simulated Annealing and, firstly, Cluster-based Genetic Algorithm and Max-Min Ant Systems are applied to 78 small- to large-size product-line design problem instances. In contrast to former comparisons, data is generated according to a large sample of commercial conjoint analysis applications ( n = 2,089). The results are promising: The firstly applied heuristics outperform the established ones. KW - Product-line design KW - Conjoint analysis KW - Combinatorial optimization KW - Heuristics Y1 - 2024 U6 - https://doi.org/10.1007/s00291-023-00716-0 SN - 0171-6468 SN - 1436-6304 VL - 46 IS - 1 SP - 73 EP - 107 PB - Springer Berlin Heidelberg ER - TY - CHAP A1 - Rehe, Grit A1 - Vökler, Sascha A1 - Schneider, Robert ED - Madsen, Ole ED - Berger, Ulrich ED - Møller, Charles ED - Heidemann Lassen, Astrid ED - Vejrum Wæhrens, Brian ED - Shou, Casper T1 - Qualification in Small and Medium-Sized Enterprises as the Key Driver for a Digitalized Economy T2 - The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs N2 - Transformation processes towards a smart production reshape the way we work. Digitalization and the application of new technologies lead to additional interfaces between man and machine and thus, result in a tremendous change of employment, work environment and workforce qualification. This in turn means, to take full advantage of digitalization employees at all levels and sectors have to be evolved in the transformation process and need to be skilled for the upcoming challenges. To meet this need for qualification and to sensitize especially small and medium-sized enterprises (SMEs) to the matter of digitalization, the Competence Center Cottbus was founded. Through a four-step approach, the Center addresses SMEs at all digitalization levels, from beginners to innovators. The central instrument for the Centers’ work is the self-developed LTA-FIT qualification concept. This concept is designed to impart the required knowledge and competences in accordance with the distinct qualification level of SMEs and their employees. Y1 - 2022 SN - 978-3-031-15427-0 SP - 405 EP - 419 PB - Springer International Publishing CY - Cham ET - 1. Auflage ER -