Die chronologische Liste zeigt aktuelle Veröffentlichungen aus dem Forschungsbetrieb der Hochschule Weihenstephan-Triesdorf. Zuständig ist das Zentrum für Forschung und Wissenstransfer (ZFW).
8 Ergebnisse
Fabian Schäfer,
Manuel Walther,
Prof. Dr. Dominik Grimm,
Alexander Hübner
Assigning inpatients to hospital beds impacts patient satisfaction and the workload of nurses and doctors. The assignment is subject to unknown inpatient arrivals, in particular for emergency patients. Hospitals, therefore, need to deal with uncertainty on actual bed requirements and potential shortage situations as bed capacities are limited. This paper develops a model and solution approach for solving the patient bed-assignment problem that is based on a machine learning (ML) approach to forecasting emergency patients. First, it contributes by improving the anticipation of emergency patients using ML approaches, incorporating weather data, time and dates, important local and regional events, as well as current and historical occupancy levels. Drawing on real-life data from a large case hospital, we were able to improve forecasting accuracy for emergency inpatient arrivals. We achieved up to 17% better root mean square error (RMSE) when using ML methods compared to a baseline approach relying on averages for historical arrival rates. We further show that the ML methods outperform time series forecasts. Second, we develop a new hyper-heuristic for solving real-life problem instances based on the pilot method and a specialized greedy look-ahead (GLA) heuristic. When applying the hyper-heuristic in test sets we were able to increase the objective function by up to 5.3% in comparison to the benchmark approach in [40]. A benchmark with a Genetic Algorithm shows also the superiority of the hyper-heuristic. Third, the combination of ML for emergency patient admission forecasting with advanced optimization through the hyper-heuristic allowed us to obtain an improvement of up to 3.3% on a real-life problem.
Leonie Hahn,
Dr. Markus Schmidt,
Prof. Dr. Andreas Rothe,
Prof. Dr. habil. Carsten Lorz,
Prof. Dr. Christian Zang
Bewässerung von Forstkulturen: Früherkennung des Bewässerungsbedarfs und praxistaugliche Bewässerunsgmethoden (2023) Vortrag auf der Jahrestagung der Arbeitsgemeinschaft Forstliche Standorts- und Vegetationskunde (AFSV e.V., Sektion im DVFFA) am 11.10.2023 in Lehesten/Frankenwald .
Addressing climate change and reducing greenhouse gas emissions are critical global challenges. As a substantial contributor to emissions, animal-based products are under increasing scrutiny. Animal-free dairy products provide a potential. Although understanding consumer acceptance of these products is crucial, the literature on this topic is scant. This study investigates the perception and acceptance of animal-free dairy among German consumers (N = 1,487) using an online survey with five information treatments (general and topic-specific information about animal-free cheese, gene-modified organisms, animal welfare, environmental concerns, and farmer existence). The acceptance of animal-free dairy was measured by the respondents' willingness to try, substitute, buy, and regularly buy animal-free cheese. Acceptance was found to be comparatively lower than in past studies, although still prevalent among 45.65 % of consumers. Notably, there were significant variances in consumers' perspectives toward animal-free cheese, causing an irregular distribution in their willingness statements. Multi-group analysis using partial least squares structural equation modeling showed that consumer acceptance did not significantly differ between treatment groups. However, individual analysis revealed that the willingness to buy animal-free cheese was positively influenced by perceived benefits and perceived sustainability. Conversely, perceived risks decreased this willingness. Positive attitudes toward farming and knowledge about farming increased perceived risks, while high social trust lowered them. Attitudes toward animal welfare and social trust positively influenced perceived benefits. These findings can be applied to inform and facilitate market introduction strategies of animal-free dairy products for producers and policy makers, providing insights into consumer acceptance of these products in Germany.
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