Szczegóły publikacji

Opis bibliograficzny

MCDM methodology for multi depot vehicle routing with pickups and deliveries and time windows – real world case study / Marcin Kiciński, Krzysztof BORYCZKO, Marek KARKULA, Krzysztof Zajda, Dariusz Bober, Andrzej Sobala // W: Transport Problems 2025 [Dokument elektroniczny] : XVII International Scientific Conference : [Katowice - Wisła - Žilina, 25-27.06.2025] ; XIV International Symposium of Young Researchers : [Katowice - Mysłowice, 23-24.06.2025] : proceedings. — Wersja do Windows. — Dane tekstowe. — [Katowice : Silesian University of Technology. Faculty of Transport and Aviation Engineering], [2025]. — 1 dysk optyczny. — e-ISBN: 978-83-975865-0-5. — S. 395–412. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 411–412, Summ.

Autorzy (6)

Słowa kluczowe

multi depotreal world constraintsmulti-criteria decision makingtime windowscase studyVRPheterogeneous fleetoptimizationdeliverypickup

Dane bibliometryczne

ID BaDAP161424
Data dodania do BaDAP2025-07-31
Rok publikacji2025
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaPolitechnika Śląska

Abstract

This manuscript introduces a Multi-Criteria Decision-Making (MCDM) methodology to address the complexities of the Multi Depot Heterogeneous Vehicle Routing Problem with Time Windows (MDHVRPTW), incorporating pickups and deliveries, validated through an FMCG industry case study. The primary scientific achievement is the development and validation of a 4-stage VRP algorithm that comprehensively models and solves real-world operational challenges. These include managing split customer orders (FTL/LTL), intricate vehicle capacity and axle load balancing (considering unloading sequences), route duration constraints (via tachograph data), precise delivery time windows, and an integrated multi-depot network structure. The methodology effectively minimizes routes/vehicles and maximizes route efficiency (e.g., km/ton), while strategically managing vehicle relocations. Key findings demonstrate the proposed approach as an effective decision support tool for VRPs with multiple, conflicting criteria. Furthermore, the research establishes a coherent set of evaluation criteria applicable across diverse problem instances, enabling robust solution comparison and fostering a more objective basis for complex route planning.

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