Simulation and Optimization analysis using AnyLogistix software: A case study on the effective distribution of COVID-19 vaccines in Greece

Σκορδαλάκη, Μαρίνα; Skordalaki, Marina

dc.contributor.author	Σκορδαλάκη, Μαρίνα	el
dc.contributor.author	Skordalaki, Marina	en
dc.date.accessioned	2026-07-03T07:44:12Z
dc.date.available	2026-07-03T07:44:12Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/65302
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.32996
dc.rights	Default License
dc.subject	Logistics	en
dc.subject	Simulation	en
dc.subject	Optimization	en
dc.subject	AnyLogistix	en
dc.subject	Προσομοίωση	el
dc.subject	Βελτιστοποίηση	el
dc.subject	vaccines	en
dc.title	Simulation and Optimization analysis using AnyLogistix software: A case study on the effective distribution of COVID-19 vaccines in Greece	en
dc.contributor.department	Laboratory of Operations Research & Logistics	el
heal.type	bachelorThesis
heal.secondaryTitle	Προσομοίωση και Βελτιστοποίηση στο Λογισμικό AnyLogistix: Μελέτη Περίπτωσης για την Αποτελεσματική Διανομή Εμβολίων COVID-19 στην Ελλάδα	el
heal.classification	Supply Chain	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2024-07-19
heal.abstract	Disruptions have profoundly challenged the contemporary world, prompting various transformations in supply chains. The COVID-19 pandemic stands out as the most significant recent disruption, drastically affecting global supply chains and forcing their reinvention. The eradication of this fatal disease relied on global vaccination efforts. At the national level of each country, there was a pressing need for immediate and time-efficient distribution of large volumes of vaccines from the storage facilities to the vaccination centers. Meeting these requirements necessitated the availability of suitable vehicle fleets and highlighted the need for optimal organization and coordination across the last-mile delivery system of the vaccine cold chain. To address this challenge, a simulation model is developed within the environment of the optimization and simulation software, AnyLogistix. This report aims to establish a model that orchestrates transportation capacities, plans vehicle assignments and identifies areas for improvement throughout the delivery process. The case study establishes an approach that integrates both route optimization and dynamic simulation to determine the optimal fleet configuration for the distribution of COVID-19 vaccines in the province of Attica, Greece. Specifically, different test scenarios are examined in the dynamic simulation environment of AnyLogistix, featuring distinctions in fleet setup, size and route planning. Their evaluation is based on Key Performance Indicators related to cost-effectiveness, environmental performance and vehicle utilization. This study provides valuable insights into the functionality and capabilities of AnyLogistix, highlighting its effectiveness in analyzing supply chain systems and integrating simulation and optimization through a real-world case study. The experimental results reveal that fleet configuration and routing decisions significantly impact the efficiency, cost-effectiveness, sustainability, and optimal fleet utilization of a cold chain logistics system. In particular, the results of the optimal scenario reveal a 39.84% reduction in costs, a 40.25% reduction in emissions and a 43.96% increase in fleet utilization. Therefore, a comprehensive approach to these factors is essential for developing and streamlining an effective vaccine last-mile delivery system.	en
heal.advisorName	Πόνης, Σταύρος
heal.committeeMemberName	Πόνης, Σταύρος
heal.committeeMemberName	Παναγιώτου, Νικόλαος
heal.committeeMemberName	Ρεντιζέλας, Αθανάσιος
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Μηχανολόγων Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	119
heal.fullTextAvailability	false