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Decision Making Model for Outsourcing by Analysis of Hierarchies of T. Saaty Under Fuzzy Environment

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Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) (IITI'18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 874))

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Abstract

The article describes disadvantages of existing one-criterion methodologies: only the monetary effect of outsourced process is considered, the analysis of all possible positive and negative consequences of outsourcing is not taken into account. It outlines the main difficulties of multi-criteria approaches for decision making about outsourcing, related to the fact that the improvement of one important criterion of the enterprise’s activity can lead to the deterioration of another criterion.

It outlines the fact that there is no unified algorithm for making decisions about production outsourcing. The existing multicriteria decision-making methodology was improved, the Saati method was proposed for ranking the criteria taking into account their importance, as well as a pairwise comparison of the parameters. It explains necessity of applying the proposed decision-making method for outsourcing at an industrial enterprise. It is shown that, along with the economic effect, the mentioned parameters are important for making decision about outsourcing. A detailed analysis of these parameters is carried out on example of production enterprise.

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Author information

Authors and Affiliations

  1. Central Economics and Mathematics Institute (CEMI), Russian Academy of Sciences (RAS), Moscow, Russia

    Natalia Egorova & Yana Sorokina

Authors
  1. Natalia Egorova
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  2. Yana Sorokina
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Corresponding author

Correspondence to Yana Sorokina .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. Rostov State Transport University, Rostov-on-Don, Russia

    Andrey Sukhanov

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Egorova, N., Sorokina, Y. (2019). Decision Making Model for Outsourcing by Analysis of Hierarchies of T. Saaty Under Fuzzy Environment. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_28

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