Erziehung in Systemen revolutionärer Mobilisierung. Das Beispiel Kuba

In der soziologischen Mobilisierungstheorie spielen kulturrevolutionäre Prozesse der Herauslösung des Individuums aus tradierten Lebensformen und habitualisierten Mustern des Denkens und Wahrnehmens eine zentrale Rolle bei der beschleunigten Modernisierung sozialer Systeme. Die Mobilisierungstheorie kann daher einen wichtigen Beitrag zur Analyse revolutionärer Prozesse leisten. Dies gilt insbesondere auch im Hinblick auf die Rolle der Erziehung. Allerdings bedarf die "klassische" Mobilisierungstheorie noch kritischer Modifikationen. Am Beispiel Kubas wird ein erweiterter mobilisierungstheoretischer Ansatz für die Analyse und die kritische Rekonstruktion kultur- und erziehungsrevolutionärer Prozesse zur Diskussion gestellt. (DIPF/Orig.)In the sociological theory of mobilization, cultural-revolutionary processes of the individual\u27s emancipation from traditional ways of life and habitualized patterns of thinking and perceiving play a central role in the accelerated modemization of social Systems. Therefore, the theory of mobilization can contribute decisively to the analysis of revolutionary processes. This is above all true with regard to the role of education. However, the "classical" theory of mobilization is still in need of critical modifications. Taking Cuba as an example, the author proposes an extended mobilization-theoretical approach for the analysis and critical reconstrucion of cultural- and educational-revolutionary processes. (DIPF/Orig.

Reallocating resources to focused factories: a case study in chemotherapy

This study investigates the expected service performance associated with a proposal to reallocate resources from a centralized chemotherapy department to a breast cancer focused factory. Using a slotted queueing model we show that a decrease in performance is expected and calculate the amount of additional resources required to offset these losses. The model relies solely on typical outpatient scheduling system data, making the methodology easy to replicate in other outpatient clinic settings. Finally, the paper highlights important factors to consider when assigning capacity to focused factories. These considerations are generally relevant to other resource allocation decisions

A scenario based approach for flexible resource loading under uncertainty

Order acceptance decisions in manufacture-to-order environments are often made based on incomplete or uncertain information. To promise reliable due dates and to manage resource capacity adequately, resource capacity loading is an indispensable supporting tool. We propose a scenario based approach for resource loading under uncertainty that minimises the expected costs. The approach uses an MILP to find a plan that has minimum expected costs over all relevant scenarios. We propose an exact and a heuristic solution approach to solve this MILP. A disadvantage of this approach is that the MILP may become too large to solve in reasonable time. We therefore propose another approach that uses an MILP with a sample of all scenarios. We use the same exact and heuristic methods to solve this MILP. Computational experiments show that, especially for instances with much slack, solutions obtained with deterministic techniques for a expected scenario can be improved with respect to their expected costs. We also show that for large instances the heuristic outperforms the exact approach given a computation time as a stopping criterion

Reallocating resources to focused factories: a case study in chemotherapy

This study investigates the expected service performance associated with a proposal to reallocate resources from a centralized chemotherapy department to a breast cancer focused factory. Using a slotted queueing model we show that a decrease in performance is expected and calculate the amount of additional resources required to offset these losses. The model relies solely on typical outpatient scheduling system data, making the methodology easy to replicate in other outpatient clinic settings. Finally, the paper highlights important factors to consider when assigning capacity to focused factories. These considerations are generally relevant to other resource allocation decisions