Pipicelli, Eduardo (2025) Last-mile logistics: trends, models and innovative solutions. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Last-mile logistics: trends, models and innovative solutions |
| Autori: | Autore Email Pipicelli, Eduardo eduardo.pipicelli@unina.it |
| Data: | 10 Febbraio 2025 |
| Numero di pagine: | 153 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Industriale |
| Dottorato: | Ingegneria industriale |
| Ciclo di dottorato: | 37 |
| Coordinatore del Corso di dottorato: | nome email Grassi, Michele michele.grassi@unina.it |
| Tutor: | nome email Bruno, Giuseppe [non definito] Piccolo, Carmela [non definito] |
| Data: | 10 Febbraio 2025 |
| Numero di pagine: | 153 |
| Parole chiave: | Last-Mile Logistics; Sustainable Delivery; Self-Collection; Pick-up Point Network Design; Delivery Areas Design |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/35 - Ingegneria economico-gestionale |
| Informazioni aggiuntive: | Appartenente al 37° Ciclo PON |
| Depositato il: | 18 Nov 2025 14:50 |
| Ultima modifica: | 09 Ago 2026 06:02 |
| URI: | https://www.fedoa.unina.it/id/eprint/16594 |
Abstract
The rapid digital transformation and increasing internet accessibility have profoundly reshaped the global market, driving the expansion of e-commerce. The surge in online shopping has led to unprecedented parcel volumes, posing significant operational and environmental challenges for logistics providers, particularly concerning last-mile delivery. Among the strategies to enhance the efficiency of this phase, self-collection—with pick-up points and parcel lockers—has emerged as a promising alternative to traditional home deliveries. This solution offers multiple benefits, including reduced costs, lower failure rates, and decreased urban congestion and pollution. However, its effectiveness hinges on customers’ willingness to adopt this delivery model, which is influenced by accessibility and convenience. This research, conducted in collaboration with Poste Italiane, addresses two key interrelated problems in last-mile logistics: (i) the strategic design of self-collection networks and (ii) the tactical design of parcel delivery districts. Specifically, decision-making models and optimization methods are developed to identify optimal locations for pick-up points based on accessibility metrics and customer behavior modeling. Additionally, a districting approach is proposed to integrate home delivery and self-collection, enabling the definition of robust delivery areas under uncertainty. These methodologies are applied to real-world cases, providing insights into the operational benefits of self-collection networks and their role in enhancing urban logistics sustainability. By bridging strategic and tactical planning perspectives, this study contributes to the advancement of data-driven decision-making in last-mile logistics, offering practical implications for logistics providers aiming to optimize parcel delivery services with self-collection.
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