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1613. A Real-Life Order Allocation and Dispatching Problem in Megacities
Invited abstract in session MA-56: Last mile delivery modeling, stream Transportation.
Monday, 8:30-10:00Room: S04 (building: 101)
Authors (first author is the speaker)
| 1. | Muchammad Arya Zamal
|
| Industrial Engineering, TU Eindhoven | |
| 2. | Albert Schrotenboer
|
| Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology | |
| 3. | Tom van Woensel
|
| Technische Universiteit Eindhoven |
Abstract
This study addresses the complexities of two-echelon distribution systems in modern city logistics, highlighting the challenges faced by megacities like Jakarta, Indonesia. In collaboration with an industry partner, our research explores a logistics platform designed for efficient same- and next-day deliveries between local shops and consumers. In this context, we introduce the stochastic and dynamic order allocation and dispatching problem (SDOA-DP) aimed at minimizing costs by optimizing order allocations to linehauls between two-echelon systems and dispatching strategies within them. This paper makes the following contribution: advancing corridor-based logistics by explicitly integrating efficient linehaul planning with first and last-mile routing, employing a cost-function approximation within a two-stage stochastic programming formulation for dynamic order assignment, and leveraging a parameterized Adaptive Large Neighborhood Search algorithm for routing. Finally, our model was implemented using real-life data, demonstrating the approach's effectiveness in reducing logistics costs.
Keywords
- Vehicle Routing
- Transportation
- Stochastic Optimization
Status: accepted
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