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A Conceptual Framework of a Decision Support System for Operational Dispatching of Agricultural Bulk Goods – An Agent-Based Approach

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Multiagent System Technologies (MATES 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8732))

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Abstract

Transportation planning may imply versatile and complex decision problems. The most distinctive feature of agricultural transportation planning is: a dynamic and rapid transaction of harvesting processes. During the harvesting process various actors such as farmers, contractors, agricultural traders, transportation companies and processing industries have to collaborate. This contribution presents a conceptual framework of a decision support approach for operational dispatching and its implementation based upon a multi-agent system (MAS). This agent-based approach enables users to conflate dispersed structure information, apply optimization techniques and provide a goal-oriented planning and transaction of transportation.

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Author information

Authors and Affiliations

  1. Fakultät Wirtschafts- und Sozialwissenschaften, Hochschule Osnabrück, Osnabrück, Germany

    Jens Mehmann

  2. Fachgebiet Unternehmensrechnung und Wirtschaftsinformatik, Universität Osnabrück, Osnabrück, Germany

    Frank Teuteberg

Authors
  1. Jens Mehmann
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  2. Frank Teuteberg
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Editor information

Editors and Affiliations

  1. Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  2. institut für Automatisierungs- und Softwaretechnik, Universität Stuttgart, Pfaffenwaldring 47, 70550, Stuttgart, Germany

    Michael Weyrich

  3. Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS), Caixa Postal 15064, 91501-970, Porto Alegre, Rio Grande do Sul, Brazil

    Ana L. C. Bazzan

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© 2014 Springer International Publishing Switzerland

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Mehmann, J., Teuteberg, F. (2014). A Conceptual Framework of a Decision Support System for Operational Dispatching of Agricultural Bulk Goods – An Agent-Based Approach. In: Müller, J.P., Weyrich, M., Bazzan, A.L.C. (eds) Multiagent System Technologies. MATES 2014. Lecture Notes in Computer Science(), vol 8732. Springer, Cham. https://doi.org/10.1007/978-3-319-11584-9_9

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  • DOI: https://doi.org/10.1007/978-3-319-11584-9_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11583-2

  • Online ISBN: 978-3-319-11584-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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