TY - GEN
T1 - Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents
AU - Rana, Abhisekh
AU - Kavak, Hamdi
AU - Crooks, Andrew
AU - Luke, Sean
AU - Domeniconi, Carlotta
AU - Jones, Jim
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Disruption to supply chains can significantly influence the operation of the world economy and this has been shown to permeate and affect a large majority of countries and their citizens. We present initial results from a model that explores the disruptions to supply chains by a criminal agent and possible mitigation strategies. We construct a model of a typical pharmaceutical manufacturing supply chain, which is implemented via discrete event simulation. The criminal agent optimizes its resource allocation to maximize disruption to the supply chain. Our findings show criminal agents can cause cascading damage and exploit vulnerabilities, which inherently exist within the supply chain itself. We also demonstrate how basic mitigation strategies can efficaciously alleviate this potential damage.
AB - Disruption to supply chains can significantly influence the operation of the world economy and this has been shown to permeate and affect a large majority of countries and their citizens. We present initial results from a model that explores the disruptions to supply chains by a criminal agent and possible mitigation strategies. We construct a model of a typical pharmaceutical manufacturing supply chain, which is implemented via discrete event simulation. The criminal agent optimizes its resource allocation to maximize disruption to the supply chain. Our findings show criminal agents can cause cascading damage and exploit vulnerabilities, which inherently exist within the supply chain itself. We also demonstrate how basic mitigation strategies can efficaciously alleviate this potential damage.
KW - Criminal agents
KW - Evolutionary computation
KW - Mitigation
KW - Pharmaceutical supply chains
UR - https://www.scopus.com/pages/publications/85138772951
U2 - 10.1007/978-3-031-17114-7_2
DO - 10.1007/978-3-031-17114-7_2
M3 - Conference contribution
AN - SCOPUS:85138772951
SN - 9783031171130
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 13
EP - 23
BT - Social, Cultural, and Behavioral Modeling - 15th International Conference, SBP-BRiMS 2022, Proceedings
A2 - Thomson, Robert
A2 - Dancy, Christopher
A2 - Pyke, Aryn
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation Conference, SBP-BRiMS 2022
Y2 - 20 September 2022 through 23 September 2022
ER -