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Lab 2026 Β· Operations Research & Combinatorial Optimization

Scientific Literature
Multi-Tier Vehicle Routing with Time Windows

Selection of foundational and recent academic papers addressing two-echelon vehicle routing problems (Main Warehouses $\rightarrow$ Intermediate Relay Hubs $\rightarrow$ Customer Delivery Points) with time windows, cross-dock synchronization, and fixed/distance cost minimization.

Domain Β· Operations Research / Combinatorics Modeling Β· MIP & Heuristics (ALNS / LNS) Status Β· Local PDF Papers Available

Exact Models (MIP)

Mixed Integer Linear Programming Formulations

These papers describe arc flow decision variables, flow conservation constraints, sub-tour elimination, and time window coupling across tiers.

Preprint 2024 Β· arXiv Formulation

Mathematical Formulations for Two-Echelon Routing

Mehmet AnΔ±l Akbay, Christian Blum (Artificial Intelligence Research Institute, CSIC)

Presents various compact and extended formulations for two-echelon routing, comparing 2-index vs 3-index models, and details time window coupling between tier 1 and tier 2.

Compact MIP Time Windows Heterogeneous Fleet
πŸ“„ Read local PDF (20 pages) β†’
Springer OR Spectrum (2021) Benchmark Survey

Last-mile delivery concepts: a survey from an OR perspective

Nils Boysen, Stefan Fedtke, Stefan Schwerdfeger

The most exhaustive survey on two-tier logistics networks: analysis of urban micro-hubs, vehicle synchronization, and fixed fleet cost vs. distance cost trade-offs.

58 pages Micro-hubs Time Windows Operational Costs
πŸ“„ Read local PDF (58 pages) β†’

Heuristics & Practical Solving

Solving Real-Scale Instances

On large instances (dozens of customers and hubs), exact MIP solvers hit computational limits. ALNS (Adaptive Large Neighborhood Search) metaheuristics produce near-optimal solutions in seconds.

Computers & Operations Research / arXiv LNS Algorithm

A Large Neighbourhood Based Heuristic for Two-Echelon Routing

Ulrich Breunig, Verena Schmid, Richard F. Hartl, Thibaut Vidal

Details ruin-and-recreate operators (Shaw removal, Random removal, Worst removal) and insertion operators (Greedy, Regret-k) applied simultaneously on tier 1 and tier 2 routes.

LNS Ruin & Recreate Benchmarks
πŸ“„ Read local PDF (27 pages) β†’
arXiv Preprint Mixed Fleets

The Electric Two-echelon Vehicle Routing Problem

Ulrich Breunig, Roberto Baldacci, Richard F. Hartl, Thibaut Vidal

Models situations where Tier 1 uses heavy diesel trucks and Tier 2 uses light electric vehicles with battery range and recharging duration constraints.

Mixed fleet Battery range Satellite hubs
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Bibliographical Synthesis

Recent Literature Reviews

Comprehensive overview papers surveying classifications and benchmark problems in multi-tier logistics.

arXiv 2024 Urban Logistics

Two-echelon Parcel Delivery: A Literature Review

Nima Moradi, Niloufar Mirzavand Boroujeni, Navid Aftabi, Amin Aslani

Review focused on urban parcel delivery networks with intermediate transfer hubs and strict time windows.

πŸ“„ Read local PDF (37 pages) β†’
arXiv 2025 Large Instances

Large-Scale Two-Echelon Location Routing Problems

Optimization & Operations Research Community

Decomposition algorithms and scalable mathematical heuristics to solve complex distribution networks with hundreds of delivery points and dozens of intermediate depots.

πŸ“„ Read local PDF (40 pages) β†’

Extensions & Complex Scenarios

Drones, Disaster Relief & Robustness

Advanced real-world applications combining heavy freight, delivery drones, or humanitarian emergency logistics.

Two-Echelon Routing with Truck and Drones

Minh HoΓ ng HΓ , Lam Vu, Duy Manh Vu (arXiv:2004.02275)

Heavy trucks transport goods to intermediate launch sites (Tier 1), then an autonomous fleet of drones performs last-mile deliveries with customer time windows (Tier 2).

πŸ“„ Read local PDF (29 pages) β†’

Two-Echelon Routing for Post-Disaster Logistics

Tasnim Ibn Faiz, Chrysafis Vogiatzis, Md. Noor-E-Alam (arXiv:2001.06456)

Multi-tier emergency routing under strict time horizons for rapid relief distribution following natural disasters.

πŸ“„ Read local PDF (38 pages) β†’