Szczegóły publikacji
Opis bibliograficzny
Optimizing last-mile delivery: a multi-criteria approach with automated smart lockers, capillary distribution and crowdshipping / Bartosz SAWIK // Logistics [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2305-6290. — 2024 — vol. 8 iss. 2 art. no. 52, s. 1-29. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 25-29, Abstr. — Publikacja dostępna online od: 2024-05-08. — Dod. afiliacja: Public University of Navarre, Pamplona, Spain ; University of California at Berkeley, USA
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 153071 |
|---|---|
| Data dodania do BaDAP | 2024-05-24 |
| Tekst źródłowy | URL |
| DOI | 10.3390/logistics8020052 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Logistics |
Abstract
Background: This publication presents a review, multiple criteria optimization models, and a practical example pertaining to the integration of automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. This publication addresses challenges in logistics and transportation, aiming to enhance efficiency, reduce costs and improve customer satisfaction. This study integrates automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. Methods: A review of the existing literature synthesizes key concepts, such as facility location problems, vehicle routing problems and the mathematical programming approach, to optimize supply chain operations. Conceptual optimization models are formulated to solve the complex decision-making process involved in last-mile delivery, considering multiple objectives, including cost minimization, delivery time optimization, service level minimization, capacity optimization, vehicle minimization and resource utilization. Results: The multiple criteria approaches combine the vehicle routing problem and facility location problem, demonstrating the practical applicability of the proposed methodology in a real-world case study within a logistics company. Conclusions: The execution of multi-criteria models optimizes automated smart locker deployment, capillary distribution design, crowdshipping and last-mile delivery strategies, showcasing its effectiveness in the logistics sector.
