Case Study: Balancing the Stations of a Self-Service E-Bike Sharing System
A single type bike repositioning problem is formulated into a model and transcribed into optimization software. Subsequently, an optimal solution is observed using the collected data and chosen parameters. This solution is then utilized in order to reach conclusions on the viability of this problem as a case study for IE:510 Integer Programming.
Dissertation Advisor: Jose Antonio Ventura Distinguished Professor of Industrial Engineering and Dean’s Fellow Chair of Penn State Operations Research Graduate Program
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| Work Title | Case Study: Balancing the Stations of a Self-Service E-Bike Sharing System |
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| License | In Copyright (Rights Reserved) |
| Work Type | Research Paper |
| Publication Date | January 27, 2022 |
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| Deposited | January 27, 2022 |
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