Institut für Interoganizational Management & Performance

Permanent URI for this collectionhttps://hohpublica.uni-hohenheim.de/handle/123456789/84

Browse

Now showing 1 - 3 of 3

Biogas plant optimization by increasing its exibility considering uncertain revenues
(2019) Meyr, Herbert; Fichtner, Stephan
Increasing shares of volatile energy resources like wind and solar energy will require exibly schedulable energy resources to compensate for their volatility. Biogas plants can produce their energy exibly and on demand, if their design is adjusted adequately. By doing so, the biogas plant operator has the opportunity to generate more earnings by producing and selling electricity in higher price periods. In order to achieve a exibly schedulable biogas plant, the design of this plant has to be adjusted to decouple the biogas and electricity production. Therefore, biogas storage possibilities and additional electrical capacity are necessary. The investment decision about the size of the biogas storage and the additional electrical capacity depends on the uctuation of energy market prices and the availability of governmental subsidies. This work presents an approach supporting investment decisions to increase the exibility of a biogas plant by installing gas storages and additional electrical capacities under consideration of revenues out of direct marketing at the day-ahead market. In order to support the strategic, long-term investment decisions, an operative plant schedule for the future, considering different plant designs given as investment strategies, using a mixed-integer linear programming (MILP) model in an uncertain environment is optimized. The different designs can be evaluated by calculating the net present value (NPV). Moreover, an analysis concerning current dynamics and uncertainties within spot market prices is executed. Furthermore, the in uences concerning the variation of spot market prices compared to the influence of governmental subsidies, in particular, the exibility premium, are revealed by computational results for a fictional case example, which is based on a biogas plant in southern Germany. In addition, the robustness of the determined solution is analyzed with respect to uncertainties.
Clustering surgical procedures for master surgical scheduling
(2017) Kressner, Alexander; Schimmelpfeng, Katja
The sound management of operating rooms is a very important task in each hospital. To use this crucial resource efficiently, cyclic master surgery schedules are often developed. To derive sensible schedules, high-quality input data are necessary. In this paper, we focus on the (elective) surgical procedures’ stochastic durations to determine reasonable, cyclically scheduled surgical clusters. Therefore, we adapt the approach of van Oostrum et al (2008), which was specifically designed for clustering surgical procedures for master surgical scheduling, and present a two-stage solution approach that consists of a new construction heuristic and an improvement heuristic. We conducted a numerical study based on real-world data from a German hospital. The results reveal clusters with considerably reduced variability compared to those of van Oostrum et al(2008).
Data quality and information loss in standardised interpolated path analysis
quality measures and guidelines
(2019) Schoop, Mareike; Witt, Josepha; Schmid, Andreas; Melzer, Philipp; Kaya, Muhammed; Lenz, Annika
Standardised interpolated path analysis (SIPA) is a method to investigate negotiation processes making different negotiation histories comparable. Due to its interpolation approach, researchers employing SIPA must take data quality and potential information loss into account to maximise the method’s explanatory power. This paper presents quality measures and applies them to two negotiation datasets for deriving meaningful boundaries. Using these quality measures enables researchers to compare SIPA across segmentations, variables, and datasets also providing outlier analysis.

Browse

Browsing Institut für Interoganizational Management & Performance by Series/journal "Hohenheim discussion papers in business, economics and social sciences"