SUPPLY CHAIN RISK MANAGEMENT BY MONTE CARLO METHOD
Ładowanie...
Data
2017
Inny tytuł
Typ
Artykuł recenzyjny
Autorzy
Redaktor
dc.contributor.advisor
Dyscyplina PBN
Informatyka techniczna i telekomunikacja
Czasopismo lub seria
Informatics Control Measurement in Economy and Environment Protection
ISSN
2083-0157
2391-6761
2391-6761
ISBN
DOI
10.5604/01.3001.0010.7244
Strona internetowa
Wydawca
Wydawca
Wydanie
Numer
Strony od-do
Tytuł monografii
item.page.defence
Tytuł tomu
Opis
Rodzaj licencji
Abstrakt (en)
In this paper, the conceptual model of risk-based cost estimation for completing tasks within supply chain is presented. This model is a hybrid. Its main unit is based on Monte Carlo Simulation (MCS). Due to the fact that the important and difficult to evaluate input information is vector of risk-occur probabilities the use of artificial intelligence method was proposed. The model assumes the use of fuzzy logic or artificial neural networks – depending on the availability of historical data. The presented model could provide support to managers in making valuation decisions regarding various tasks in supply chain management.