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LispLogics specializes in the dynamic optimization and management of bike share operations, encompassing battery swaps, bike relocations, and maintenance of broken bikes, among other tasks. They face significant challenges in accurately analyzing and enhancing their operational efficiency due to the multifactorial nature of their system. Factors such as weather conditions, temperature, the number of trucks on the road, and staffing levels all influence the system’s performance. This complexity is compounded by the system’s continuous operation throughout the year.
This project aims to address these challenges by developing a comprehensive metrics calculation framework that considers these various factors, enabling more effective real-time analysis and decision-making.
Bettina Kemme
LispLogics
Computer science
Professional, scientific and technical services
McGill University
Business Strategy Internship
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