@inproceedings{f278b69cbc0c4aa1b10b6cb6d32f7de4,
title = "Simulation and Optimization Techniques for the Mitigation of Disruptions to Supply Chains",
abstract = "The COVID-19 pandemic has clearly highlighted the importance of supply chains to the function of the world economy. Moreover, the global nature of most modern supply chains along with their complexity has left them vulnerable to a wide-ranging set of disruptive scenarios. This increase in complexity has also led to a corresponding increase in disruptions to supply chains from criminal networks. In this paper, we demonstrate how a generic pharmaceutical supply chain network can be successfully modeled using discrete event simulation. We outline how disruptions by criminal networks and mitigation strategies to counter them can be effectively incorporated into the same model. Finally, we show how optimization techniques, such as evolutionary computation, can be used to not only identify worst-case disruptions and find mitigations for them, but also be used to identify mitigation strategies that are effective against a diverse set of damaging disruption scenarios.",
keywords = "Disruptions, Mitigation, Optimization, Simulation, Supply Chains",
author = "Raj Patel and Abhisekh Rana and Sean Luke and Carlotta Domeniconi and Hamdi Kavak and Jim Jones and Andrew Crooks",
note = "Publisher Copyright: {\textcopyright} 2023 SCS.; 2023 Annual Modeling and Simulation Conference, ANNSIM 2023 ; Conference date: 23-05-2023 Through 26-05-2023",
year = "2023",
language = "English",
series = "Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "134--145",
editor = "Blas, \{Maria Julia\} and Gonzalo Alvarez",
booktitle = "Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023",
address = "United States",
}