THE USE OF AN ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF CHOOSING THE PROJECT SUPPLY CHAIN BY THE PRINCIPAL CONTRACTOR
THE USE OF AN ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF CHOOSING THE PROJECT SUPPLY CHAIN BY THE PRINCIPAL CONTRACTOR
Author(s): Marcin Halicki, Tadeusz KwaterSubject(s): Business Economy / Management, Economic policy, Political economy, Financial Markets
Published by: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Keywords: risk; project; neural network; simulations; bankruptcy; supply chain;
Summary/Abstract: 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.
Journal: Metody Ilościowe w Badaniach Ekonomicznych
- Issue Year: XX/2019
- Issue No: 3
- Page Range: 189-198
- Page Count: 10
- Language: English