456 research outputs found

    Context-based Cooperation in Mobile Business Environments – Managing the Distributed Execution of Mobile Processes

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    Realistic requirements of mobile business applications often exceed the capabilities of their respective local environments. In order to overcome such restrictions of specific mobile devices, services, and resources, this contribution introduces the concept of context-based cooperation. It is based on mobile processes which enable applications to cross boundaries of individual systems and thereby allow combining both mobile and stationary resources in order to realize highly dynamic individual applications. This contribution presents an approach for realizing context-based cooperation built upon on a respective context management infrastructure and execution environment. It also identifies specific requirements and proposes related enhancements for mobile business applications

    Liquiditätsmodellierung von Kreditzusagen (term facilities and revolver)

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    This paper discusses the management of loan commitments (Kreditzusagen). First, we elaborate on the necessary steps to efficiently manage liquidity facilities. In particular, the drawdown pattern of single commitments and a portfolio of such commitments have to be modelled. Based on the drawdown model, internal transfer prices for loan commitments can be derived. In the context of an industry project, we describe how to set up and to calibrate drawdown models for several types of commitments in practise. We present several model approaches, discuss their properties and provide a perspective for further enhancements. --Kreditzusagen,internes Modell,Liquiditätsrisiko,Banken

    On the influence of material properties in sheet bending processes

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    In order to achieve the high performance and precision requirements of modern sheet bending processes, an appropriate implementation of material properties is essential. Experiments have shown that even variations within a lot of a specific material play an important role. For this sake, detailed knowledge of the influence of the specific properties like flow curve, rolling direction, strain rate, anisotropy etc. is required. In a first step, tension tests have been performed for some materials which are frequently used in industrial applications. In order to simulate the sheet bending process, advanced simulation models have been implemented. Detailed parameter studies have been performed, and the essential parameters and their influence on the bending process have been found out. The results have been compared to measurement results of the bending process

    LEAN PANEL BENDER – Einige mechanische Aspekte der Modellierung in Echtzeit für Produktion in Losgröße 1

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    Nachfolgend werden einige wissenschaftliche Aspekte der Echtzeit-Materialerkennungsstrategie MAC diskutiert, die in der neuen Maschinenfamilie LEAN PANEL BENDER der Firma Salvagnini Maschinenbau realisiert ist und die eine hochpräzise und hocheffiziente Herstellung von komplex geformten Blechprodukten sowohl bei Losgröße 1 als auch in der Serie erlaubt.(VLID)342339

    Solving an inverse problem concerning the sheet metal blank geometry in an industrial application to minimize the processing time

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    This paper concerns the optimization of an industrial sheet metal forming process on an automatic panel bender from Salvagnini Maschinenbau GmbH combined with a corner former from an external company. By combining these two machines and optimizing the sheet metal blank geometry, production is much cheaper and faster because one processing step is eliminated

    A Comparison Between Commercial and Open-Source Software for Finite Element Analysis of Elasto-Plastic Bending

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    Nowadays, simulation is becoming more and more important in industries. Here we consider a typical industrial application in the field of sheet metal bending. A high number of simulations is necessary during the development process to perform parameter studies and optimizations. On the other hand, simulation tools should be also available for the customers of these machines, e.g., to plan the production of very specific profiles. In such cases, the optimal process parameters only can be found by simulation. Very important in this context are the license costs for commercial simulation software. Frequently, the simulations are not limited by computational power but by the number of available licenses, such that the duration for parameter studies is elongated. Also, with license costs it very expensive to provide a simulation platform to the customers. The presented case study has been carried out with the goal of comparing possible open source alternatives to expensive commercial Finite Element software. Exemplarily, we consider the elasto-plastic bending of a cantilever, using the Johnson Cook constitutive law. For this test case, a three dimensional Finite Element analysis is performed, comparing the results of open-source software (Salome-Meca) and a com mercial counterpart (Abaqus). Different element types and mesh sizes are compared, the usability of both tools, and the computational time. Considering the obvious price difference, both platforms show comparable results. Comparing the functionality of both programs, both are capable for modelling highly detailed and complex models for elasto-plastic material processing. However, for under standing the structure of the user interface of Salome-Meca is far more time consuming. Additionally, the performance of Salome-Meca on different operating systems is com pared: Salome-Meca on Linux, Salome-Meca on Linux, installed in a virtual machine on Windows, and finally Salome-Meca on Windows. All in all, it turned out that depending on the specific application Salome-Meca can be a powerful alternative to Abaqus for the considered industrial application

    Leeway or Oneway? Autonomie in (teil-)digitalisierten Arbeitswelten. Fuzzy Set Qualitative Comparative Analysis (fsQCA) als Pfad zum Verständnis komplexer Realität in der (Arbeits- und Industrie-)Soziologie

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    Qualitative Comparative Analysis (QCA) verbindet fallorientierte Ansätze aus konfigurativer Perspektive mit mengentheoretischer Logik. Obgleich von dem Soziologen Charles C. Ragin zur Analyse sozialer Phänomene entwickelt, ist die Methode in der Soziologie nicht hinreichend etabliert. Der vorliegende Beitrag möchte auf die spezifischen Aspekte der Methode verweisen und auf Grundlage einer empirischen Analyse exemplarisch das Vorgehen entlang der QCA-Analyseschritte illustrieren. Die durchgeführte Untersuchung fragt nach Bedingungen, die (in ihrer Kombination) zu hoher Arbeitsautonomie führen. Es zeigt sich, dass vor allem eine hohe formale Qualifikation und gering ausgeprägte technologische Arbeitsplatzmerkmale hohe Autonomie erklären können. Die vorgestellten empirischen Ergebnisse werden als Beitrag zur gegenwärtigen Diskussion um eine Digitalisierung von Arbeit und der Frage nach dem Zusammenhang zwischen Technologie und Arbeitsbedingungen (hier: Autonomie) präsentiert.Qualitative Comparative Analysis (QCA) combines configurational case-oriented approaches with set-theoretical logic. Even though QCA was developed by the sociologist Charles C. Rangin to analyze social phenomena, this method ekes out a niche existence in sociology/sociological research. This article underlines the specific aspects of QCA and illustrates the methods’ analytical steps on the basis of an empirical analysis. The study searches for conditions, which (in combination) lead to high experienced work autonomy. It is shown that in particular a high formal qualification and low levels of technological workplace characteristics may explain high autonomy. The results are presented as a contribution to the current debate on digitization of work and the question of the relation/connection between technology and working conditions (here: autonomy)

    A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data

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    Sea-ice thickness on a global scale is derived from different satellite sensors using independent retrieval methods. Due to the sensor and orbit characteristics, such satellite retrievals differ in spatial and temporal resolution as well as in the sensitivity to certain sea-ice types and thickness ranges. Satellite altimeters, such as CryoSat-2 (CS2), sense the height of the ice surface above the sea level, which can be converted into sea-ice thickness. Relative uncertainties associated with this method are large over thin ice regimes. Another retrieval method is based on the evaluation of surface brightness temperature (TB) in L-band microwave frequencies (1.4 GHz) with a thickness-dependent emission model, as measured by the Soil Moisture and Ocean Salinity (SMOS) satellite. While the radiometer-based method looses sensitivity for thick sea ice (> 1 m), relative uncertainties over thin ice are significantly smaller than for the altimetry-based retrievals. In addition, the SMOS product provides global sea-ice coverage on a daily basis unlike the altimeter data. This study presents the first merged product of complementary weekly Arctic sea-ice thickness data records from the CS2 altimeter and SMOS radiometer. We use two merging approaches: a weighted mean (WM) and an optimal interpolation (OI) scheme. While the weighted mean leaves gaps between CS2 orbits, OI is used to produce weekly Arctic-wide sea-ice thickness fields. The benefit of the data merging is shown by a comparison with airborne electromagnetic (AEM) induction sounding measurements. When compared to airborne thickness data in the Barents Sea, the merged product has a root mean square deviation (RMSD) of about 0.7 m less than the CS2 product and therefore demonstrates the capability to enhance the CS2 product in thin ice regimes. However, in mixed first-year (FYI) and multiyear (MYI) ice regimes as in the Beaufort Sea, the CS2 retrieval shows the lowest bias
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