Structural Dynamics and disruption events in Supply Chains using Fat Tail Distributions
Journal
IFAC-PapersOnLine
ISSN
2405-8963
Date Issued
2019
Author(s)
Marmolejo Saucedo, José Antonio
Type
Resource Types::text::journal::journal article
Abstract
The analysis of structural dynamics in a supply chain requires robust methods for the modeling of disruption events that can be faced. Statistical modeling, the machine learning application and access to large amounts of data require much more realistic models to manage risk in the supply chain. This study proposes a statistical methodology for the modeling of disruption events in the supply chain with heavy tailed distributions, which will allow the construction of models more closely linked to reality for risk management in the supply chain. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.