📘 Problem Focus
Topic Chosen: Problem A – “To Play or Not to Play”
Background:
The challenge centered on the 2032 Summer Olympic Games in Brisbane, Australia. With the International Olympic Committee (IOC) aiming to evolve the Olympics by introducing sports that resonate with contemporary values and appeal to global audiences, the task was to develop a model to help the IOC determine which Sports/Disciplines/Events (SDEs) should be added or removed.
Key Question:
How should the IOC evaluate candidate Olympic events to ensure relevance, inclusivity, sustainability, and continued public engagement?
🛠Tools & Methodologies Used
Excel:
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Organized and processed large-scale historical data (e.g. spectator numbers, countries participating, event popularity).
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Employed pivot tables and summary statistics (mean, standard deviation) to analyze trends and variation across different years and events.
AHP Software (Yaahp):
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Built a multi-criteria decision-making model based on the Analytic Hierarchy Process.
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Defined a two-level hierarchy:
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Criteria Layer: Popularity, Gender Equity, Sustainability, Inclusivity, Innovation, Safety & Fair Play
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Alternative Layer: Candidate Olympic events
3.Used pairwise comparisons to assign relative weights to evaluation criteria and assess each event’s suitability for the Olympics.
📈 Main Contributions
Designed a comprehensive evaluation model aligned with IOC standards to assess Olympic events from multiple dimensions.
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Integrated quantitative data analysis and qualitative judgment, ensuring decisions were both data-driven and value-oriented.
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Enhanced the model’s credibility by calculating the relative importance of each criterion using AHP’s judgment matrix and consistency check.
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Offered a replicable and scalable framework for future Olympic program assessments or other multi-criteria decision-making contexts.