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This paper presents a streaming-based E-Learning environment where closer integration between learning and work is achieved by integrating multimedia services into manufacturing processes. It contains a comprehensive and detailed explanation of the proposed E-Learning streaming framework, especially the adaption of streaming services to mobile environments. We first analyze several scenarios where E-Learning streaming services can be integrated into manufacturing processes. To allow systematic and tailor-made integration, we develop a model and a specification language for E-Learning streaming services and apply the model using practical scenarios from real manufacturing processes. Adaption of multimedia streaming services to mobile devices is discussed based on Synchronized Multimedia Integration Language (SMIL). Last, we comment on the benefits of using E-Learning streaming services as part of manufacturing processes and analyze the acceptance of the developed system. The key components of our E-Learning environment are 1) an xml based streaming service specification language, 2) adaption of multimedia E-Learning services to mobile environments, and 3) Web Services for searching, registration, and creation of E-Learning streaming services.
The applicability of finite elements for molecular dynamic simulations depends on both the structure’s dimensions and the underlying force field type. Shell and continuum elements describe molecular structures only in an average sense, which is why they are not subject of this paper. In contrast, truss and beam elements are potentially attractive candidates when it comes to accurately reproducing the atomic interactions. However, special considerations are required for force fields that use not only two-body, but also multi-body potentials. For the example of bending and torsion energies it is shown how standard beam element models have to be extended to be equivalent to classical molecular dynamic simulations.
Many SMEs are still faced with the problematic fact that their corporate structures and processes are not designed for efficient development and market positioning and there is a lack of appropriate methods and tools. SMEs are often inefficiently targeted to the internal or external demands for services. The following key questions are answered in this article: 1) Which studies are available in terms of strategic planning in young SMEs? 2) Which aspects should be considered in the implementation and control of these instruments?
Zielvereinbarungen sollen SMART formuliert werden, um die Leistungsbereitschaft von Mitarbeitern optimal zu fördern - so wird es zumindest in der praxisorientierten betriebswirtschaftlichen Literatur propagiert. Ob Zielvereinbarungen, die spezifisch, messbar, erreichbar, relevant für das Unternehmen und zeitlich terminiert sind, wirklich eine höhere Leistungsbereitschaft zur Folge haben, wird im Folgenden auf Basis einer empirischen Untersuchung überprüft.
A variety of different additive manufacturing processes have been available for the last three decades. Some of these technologies are very energy-intensive, e.g. laser technology and the manufacture of metal powder. In many areas, the detailed investigation of the energy and material consumption of these new manufacturing methods is still in the beginning. This paper investigates energy and material consumption using 3D colour printing (3DP) as an example. The specific energy required for the layering can be determined from this. This then forms the basis for a comparison of the specific energy consumption with other generative (e.g. Fused Layer Modelling—FLM) and also conventional production processes (e.g. milling and grinding). Thus process selection is facilitated by introducing the specific energy for layering. In addition several variables, in which resource consumption can be reduced are also investigated and compared. For example the influence of the geometry or the positioning of the 3D-printed part in the design space on the consumption are investigated. But also the measuring of different batch sizes is compared. Using the results found, the use of 3D printing can initially be optimized so that less energy, resources and manufacturing time are required.