SUPPLY CHAIN RISK MANAGEMENT BY MONTE CARLO METHOD
2017 ◽
Vol 7
(4)
◽
pp. 20-23
Keyword(s):
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.
2020 ◽
Vol 3
(2)
◽
pp. 83
◽
2018 ◽
pp. 5550-5558
2011 ◽
pp. 212-229
2008 ◽
Vol 8
(4)
◽
pp. 460
◽
2007 ◽
Vol 1
(1)
◽
2018 ◽
Vol 57
(7)
◽
pp. 2179-2202
◽
2012 ◽
pp. 290-314
◽