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URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/computer-science-depa
 rtment-ms-thesis-presentation-oliver-yasuna-characterizing-and-analyzing
SUMMARY:Computer Science Department MS Thesis Presentation: Oliver Yasuna, 
 "Characterizing and Analyzing Visualization for Supply Chain Networks"
DESCRIPTION:Oliver Yasuna\nMS Student\nWPI – Computer Science Department\nT
 uesday, May 26, 2026\nTime: 11am to 12pm\nLocation: Fuller Labs Rm 141\nAd
 visor: Prof. Lane HarrisonReader: Prof. Fabricio Murai\nAbstract:\nThis th
 esis explores the application and enhancement of data visualization techni
 ques within supply chain management, highlighting innovative methods to re
 present and interpret the complex data landscapes characteristic of modern
  supply chains, particularly due to globalization. As global supply networ
 ks become increasingly intricate and data-driven, the need for sophisticat
 ed 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 sol
 utions 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 i
 nsights into future innovations that could transform supply chain manageme
 nt practices.\n
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