Leitfaden zur Anpassung der Fertigungstiefe in mittelständischen produzierenden Unternehmen

Dieser Leitfaden ist das Ergebnis eines Praxisprojekts von Bachelorstudierenden im 3. Jahr am Institut für Duale Studiengänge der Hochschule Osnabrück am Standort Lingen. Ausgangspunkt der Untersuchung waren die Herausforderungen zweier Kooperationsunternehmen, die trotz unterschiedlicher Fertigungsstrategien mit ähnlichen Problemen wie Lieferverzögerungen und unzureichender Kosteneffizienz konfrontiert sind. Während das eine Unternehmen aufgrund einer geringen Eigenfertigungstiefe starke Abhängigkeiten von Lieferanten aufweist, führt die hohe Fertigungstiefe beim anderen Unternehmen zu Engpässen in der Fertigung. Beide Unternehmen haben ein ähnliches Problem: die Nichteinhaltung von Lieferterminen. Zudem verfügt keines der beiden Unternehmen einen strukturierten Entscheidungsprozess für die Kosteneffizienz der Fertigung. Ziel des Projektes war die Konzeption einer Vorgehensweise, anhand derer die Kooperationsunternehmen mithilfe ihrer Daten aus Einkauf, Produktion und Verkauf ihre aktuelle Fertigungstiefe bestimmen und darauf aufbauend sukzessive an eine Art Optimalzustand anstreben können. Die Gruppe setzte sich zusammen aus Studierenden der Studiengänge Wirtschaftsingenieurwesen (dual) und Engineering technischer Systeme (dual). Die Ausarbeitung fand im Zeitraum September 2024 bis März 2025 in enger Kooperation mit und vor Ort bei den beiden Unternehmen statt. Die Ergebnisse der wissenschaftlich fundierten Projektarbeit mündeten in einem Leitfaden, der von anderen Unternehmen genutzt werden kann und soll. Zudem kann er als Grundlage für weitere praxisorientierte Arbeiten dienen. Ein Excel-Tool unterstützt den Leitfaden

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

Polycystic Ovary Syndrome (PCOS) in Juvenile and Adult Type 1 Diabetes in a German/Austrian Cohort

Abstract Context While an association between PCOS and type 2 diabetes is well established, to date there have been few data on clinical care of type 1 diabetes (T1D) patients with PCOS. Objective The aim of our study was to characterize T1D patients with the comorbidity of PCOS within the DPV cohort with regard to diabetes phenotype, therapy and metabolic control. Design and Setting Clinical data from the prospective German/Austrian DPV cohort on patients with T1D and documented PCOS (n=76) were compared to female T1D controls (n=32,566) in reproductive age. Results The age at T1D manifestation in PCOS patients was later than in the control group (14.9±8.2 vs. 11.8±7.0 years, p&lt;0.001). PCOS patients had higher BMI-SDS (0.92±0.11 vs. 0.38±0.01, p&lt;0.001), metformin and oral contraceptives were used more frequently (p&lt;0.001). A1c levels were significantly lower (7.92 +/− 0.23% vs. 8.43±0.01%, p&lt;0.05) despite of lower insulin requirements (0.76±0.04 IU/kg/d vs. 0.84±0.00 IU/kg/d, p&lt;0.05). In the PCOS group, higher rates of dyslipidemia (63.4 vs. 48.7%, p =0.032) and thyroid disorders (42.2% vs. 21.2%, p&lt;0.001) were present. Discussion While patients with T1D and comorbid PCOS showed features of a “type 1.5 diabetes” phenotype, insulin requirements per kg body weight were not higher and metabolic control was better, which could be explained only partially by additional metformin therapy. A more precise genetic and metabolic characterisation of these patients is needed to answer open questions on the underlying autoimmune process and residual ß-cell function.</jats:p

Polycystic ovary syndrome (PCOS) in juvenile and adult type 1 diabetes in a German/Austrian cohort

Context: While an association between PCOS and type 2 diabetes is well established, to date there have been few data on clinical care of type 1 diabetes (T1D) patients with PCOS. Objective: The aim of our study was to characterize T1D patients with the comorbidity of PCOS within the DPV cohort with regard to diabetes phenotype, therapy and metabolic control. Design and Setting: Clinical data from the prospective German/Austrian DPV cohort on patients with T1D and documented PCOS (n=76) were compared to female T1D controls (n=32,566) in reproductive age. Results: The age at T1D manifestation in PCOS patients was later than in the control group (14.9±8.2 vs. 11.8±7.0 years, p<0.001). PCOS patients had higher BMI-SDS (0.92±0.11 vs. 0.38±0.01, p<0.001), metformin and oral contraceptives were used more frequently (p<0.001). A1c levels were significantly lower (7.92 +/− 0.23% vs. 8.43±0.01%, p<0.05) despite of lower insulin requirements (0.76±0.04 IU/kg/d vs. 0.84±0.00 IU/kg/d, p<0.05). In the PCOS group, higher rates of dyslipi-demia (63.4 vs. 48.7%, p=0.032) and thyroid disorders (42.2% vs. 21.2%, p<0.001) were present. Discussion: While patients with T1D and comorbid PCOS showed features of a “type 1.5 diabetes” phenotype, insulin requirements per kg body weight were not higher and metabolic control was better, which could be explained only partially by additional metformin therapy. A more precise genetic and metabolic characterisation of these patients is needed to answer open questions on the underlying autoimmune process and residual ß-cell function. © Georg Thieme Verlag KG Stuttgart · New York