Computer Science Department MS Thesis Presentation: Oliver Yasuna, "Characterizing and Analyzing Visualization for Supply Chain Networks"
11:00 a.m. to 12:00 p.m.
Oliver Yasuna
MS Student
WPI – Computer Science Department
Tuesday, May 26, 2026
Time: 11am to 12pm
Location: Fuller Labs Rm 141
Advisor: Prof. Lane Harrison
Reader: Prof. Fabricio Murai
Abstract:
This thesis explores the application and enhancement of data visualization techniques within supply chain management, highlighting innovative methods to represent and interpret the complex data landscapes characteristic of modern supply chains, particularly due to globalization. As global supply networks become increasingly intricate and data-driven, the need for sophisticated visualization tools becomes essential to manage, analyze, and optimize these systems effectively. This work characterizes, organizes, and reviews and contrasts approaches from both the visualization community and supply chain practitioners, aiming to bridge methodological gaps and propose solutions that enhance key supply chain management aspects, such as decision-making and operational efficiency. Through a comprehensive examination of data types, sources, and visualization literature, this thesis identifies key challenges and opportunities in supply chain visualization, offering insights into future innovations that could transform supply chain management practices.