EURO 2024 Copenhagen
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1989. A Robust Time-dependent Green Location-Routing Problem With Time Windows

Invited abstract in session WB-58: Logistics 1, stream VeRoLog - Vehicle Routing and Logistics.

Wednesday, 10:30-12:00
Room: S07 (building: 101)

Authors (first author is the speaker)

1. Saba Siadati
Industrial Engineering & Innovation Sciences, Eindhoven University of Technology
2. Virginie Lurkin
HEC, University of Lausanne
3. Mehrdad Mohammadi
Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology
4. Tom van Woensel
Technische Universiteit Eindhoven

Abstract

This study addresses the dynamic challenges of urban transportation in logistics caused by time-varying traffic congestion, introducing the Robust Time-Dependent Green Lo-cation-Routing Problem with Time Windows (R-TDGLRP-TW). A key innovation is incorporating a time-dependent speed function, strategically capturing the nuanced dynamics of urban transportation. Additionally, the inherent uncertainty in travel speed (time), which significantly impacts the system’s performance, is considered in a robust optimization context.
The R-TDGLRP-TW optimizes hubs, vehicle routes, and delivery schedules, minimizing economic and environmental costs. To tackle this, we develop a mixed-integer linear programming model for R-TDGLRP-TW, incorporating the linearization of dynamic programming recursive equations proposed in the literature into a deterministic formulation. A matheuristic solution algorithm is then used to solve large-scale instances efficiently within a reasonable computation time. Our focus on the dynamic aspects of ur-ban transportation aims to efficiently provide practical insights, helping service providers navigate the complex trade-offs encountered in logistics planning.

Keywords

Status: accepted

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