THE USE OF AN ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF CHOOSING THE PROJECT SUPPLY CHAIN BY THE PRINCIPAL CONTRACTOR

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Opublikowane:
Nov 15, 2019
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Tom 20 Nr 3 (2019)
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Marcin Halicki
Faculty of Biology and Agriculture, University of Rzeszow, Poland
https://orcid.org/0000-0002-5343-0093
Tadeusz Kwater
Faculty of Mathematics and Natural Sciences, University of Rzeszow, Poland
https://orcid.org/0000-0001-5095-613X

DOI: https://doi.org/10.22630/MIBE.2019.20.3.18
Abstrakt
The project supply chain is characterized by many risks that expose the participating companies to bankruptcy, including primarily the principal contractor. For this reason, it is desirable to have a tool that will allow us to assess whether it is worth participating in such a chain without the risk of bankruptcy. The study showed that it can be an artificial neural network, whose support consists in indicating in which project supply chain the principal contractor should participate. In addition, it was shown which factors should be taken into account by them.

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Halicki, M., & Kwater, T. (2019). THE USE OF AN ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF CHOOSING THE PROJECT SUPPLY CHAIN BY THE PRINCIPAL CONTRACTOR. Metody Ilościowe W Badaniach Ekonomicznych, 20(3), 189–198. https://doi.org/10.22630/MIBE.2019.20.3.18
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