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3260. Equitable Workload Allocation in Vehicle Routing Problem with Heterogeneous Drivers
Invited abstract in session TB-56: Crowdsourcing Logistics, stream Transportation.
Tuesday, 10:30-12:00Room: S04 (building: 101)
Authors (first author is the speaker)
| 1. | Iman Dayarian
|
| The University of Alabama |
Abstract
We introduce an equitable crowdsourced last-mile delivery model using the Nash Social Welfare (NSW) solution to ensure fairness among drivers. In the private logistics sector, fairness considerations are growing due to pressures to improve workload equity. Our model aims to maximize driver equity and efficiency while ensuring company efficiency by putting a cap on the deviation of the company's cost from the least-cost solution value. We formulate the problem as a variant of the vehicle routing problem with a nonlinear objective function inspired by NSW's approach. A column generation method is developed to solve the problem, and a computational study evaluates the model's behavior in terms of company cost, drivers' profit, and equity.
Keywords
- Transportation
- Vehicle Routing
- Column Generation
Status: accepted
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