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Intelligent Network-Flow Solutions with Risks at Transportation of Products

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Advances in Intelligent Systems Research and Innovation

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 379))

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Abstract

The paper proposes a method for making optimal decisions with risks in the very important task of transporting of commodities on a network of arbitrary configuration. One of the biggest flows of commodities in worldwide scale are the agricultural ones. This includes also the case, which happens often at harvest when the vehicles make circular course e.g. between the field and the granaries or grain silos. The method takes into account both the specific network properties and the probability of adverse events and the risks to the individual sections of the network in the implementation of these services. The proposed method minimizes not only the total cost of transporting commodities but also the insurance costs to cover the risks. A complete numerical modeling of decision-making and transportation of commodities on a network of arbitrary configuration is implemented, whereby both the cost of transport and the coverage of emerging risks are minimized by the proposed method. The possibilities for practical application of the proposed method for transportation of commodities as well as for solving other applied problems are pointed out.

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Acknowledgements

The research work reported in the paper is supported by the Bulgarian National Science Fund under Grant № KP-06-X36/2, project BG PLANTNET “Establishment of National Information Network GenBank—Plant genetic resources”.

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Authors and Affiliations

  1. Intelligent Systems Department, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Sofia, 1113, Bulgaria

    Vassil Sgurev, Lyubka Doukovska & Stanislav Drangajov

Authors
  1. Vassil Sgurev
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  2. Lyubka Doukovska
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  3. Stanislav Drangajov
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Editor information

Editors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Vassil Sgurev

  2. University of Library Studies and Information Technologies, Sofia, Bulgaria

    Vladimir Jotsov

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Sgurev, V., Doukovska, L., Drangajov, S. (2022). Intelligent Network-Flow Solutions with Risks at Transportation of Products. In: Sgurev, V., Jotsov, V., Kacprzyk, J. (eds) Advances in Intelligent Systems Research and Innovation. Studies in Systems, Decision and Control, vol 379. Springer, Cham. https://doi.org/10.1007/978-3-030-78124-8_19

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