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Business Independent Model of Mobile Workforce Management

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Advances in Grid and Pervasive Computing (GPC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6104))

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Abstract

In this work we introduce a general model for the description of mobile workforce environments. In the context of Business Process reengineering projects such models are necessary to predict the outcome of the optimization efforts. The model we propose is designed to be domain independent and can thus be utilized in BPR projects for any business domain incorporating mobile workforce systems.

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Author information

Authors and Affiliations

  1. Chair of Applied Telematics / e-Business, University of Leipzig, Klostergasse 3, 04109, Leipzig, Germany

    Volker Gruhn & Thomas Richter

Authors
  1. Volker Gruhn
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  2. Thomas Richter
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Elettronica e Sistemistica (DEIS), Università di Bologna, Viale Risorgimento 2, 40136, Bologna, Italy

    Paolo Bellavista

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, 974, Hualien, Taiwan, Republic of China

    Ruay-Shiung Chang

  3. Department of Electronic Engineering, National Ilan University, 260, Ilan, Taiwan , Republic of China

    Han-Chieh Chao

  4. National Dong Hwa University, 974, Hualien, Taiwan, Republic of China

    Shin-Feng Lin

  5. Faculty of Science Informatics Institute, University of Amsterdam, 1098, Amsterdam, XG, The Netherlands

    Peter M. A. Sloot

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Gruhn, V., Richter, T. (2010). Business Independent Model of Mobile Workforce Management. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_57

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  • DOI: https://doi.org/10.1007/978-3-642-13067-0_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13066-3

  • Online ISBN: 978-3-642-13067-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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