Agent-based supply chain and disruption modeling: Building digital twins to enhance resilience
Type
conference paper
Date Issued
2024-03
Author(s)
Abstract
This paper explores the simulation of supply chain disruptions and resilience. It employs a three-phase approach, initially focusing on understanding historical supply chain disruptions through the analysis of news articles using Large Language Processing (LLP) methodology. The study then examines supply chain resilience strategies to mitigate these disruptions. The final phase integrates findings to develop a comprehensive framework for simulating supply chain disruptions and resilience. The research concludes with insights into improving supply chain resilience against disruptions, providing a significant contribution to the field of supply chain simulation and resilience management.
Event Title
33rd IPSERA Conference
Event Location
Rio de Janeiro
Event Date
24.-27.03.2024
Division(s)