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2260. Drone-Assisted Delivery Optimization: Balancing Time and Cost With Multiple Truck Routes for Efficient Service
Invited abstract in session MC-64: Routing Unmanned Aerial Vehicles 2, stream VeRoLog - Vehicle Routing and Logistics.
Monday, 12:30-14:00Room: S16 (building: 101)
Authors (first author is the speaker)
| 1. | Shalabh Singh
|
| Decision Sciences, Indian Institute of Management, Lucknow | |
| 2. | Sonia Singh
|
| Decision Sciences, Indian Institute of Management, Lucknow |
Abstract
Conventional last-mile delivery logistical systems remain overburdened despite large-scale optimization. This paper explores the usage of drones to complement road-based last-mile delivery systems to ensure more time-cost efficiency. The work also extends the truck shipment routes to the case of real-time multiple routes. A bi-objective mixed integer linear program is introduced, accompanied by an exact solution methodology utilizing multi-choice conic goal programming. This approach efficiently solves smaller-sized problems. For larger instances, a three-step iterative heuristics is proposed. Exhaustive computational analysis and an illustrative case suggest that substantial savings in both time and cost can be achieved compared to traditional frameworks.
Keywords
- Logistics
- Multi-Objective Decision Making
- Optimization Modeling
Status: accepted
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