2998. A Two-Stage Stochastic Programming Approach for the Dynamic Relocation of Free-floating Shared Cars
Invited abstract in session TD-59: Innovations for a Greener City and Sustainable Urban Logistics II, stream Transportation.
Tuesday, 14:30-16:00Room: Liberty 1.14
Authors (first author is the speaker)
| 1. | Rym M'Hallah
|
| Engineering, King's College London | |
| 2. | Mehmet Serdar Erdogan
|
Abstract
This research addresses a strategic problem of a one-way business to consumer shared car system: optimizing inventory levels and dynamically relocating shared cars to balance demand and supply. It proposes a two-stage stochastic program, under the assumption that cars can be relocated using teleoperation. Next, it adapts the model to account for relocation constraints such as a finite number of staff and their routing using shared vans. Finally, to assess the suitability of strategic solutions at the operational level, this paper proposes a discrete-event simulation that mimics the operation of a one-way car sharing system. It explores the models and simulation on a use case of London to investigate the impact of staff and fleet size on key performance indices and draws useful managerial insights.
Keywords
- Inventory
- Stochastic Optimization
- Transportation
Status: accepted
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