Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/168558| Author(s): | Samuel José Amorim Rocha |
| Title: | Enhancing Inbound Logistics Performance: Machine Learning-Based Prediction of Port-to-Port Lead Time and Target Setting |
| Issue Date: | 2025-07-21 |
| Subject: | Ciências exactas e naturais Natural sciences |
| Scientific areas: | Ciências exactas e naturais Natural sciences |
| TID identifier: | 204168910 |
| URI: | https://hdl.handle.net/10216/168558 |
| Document Type: | Relatório de Estágio |
| Rights: | embargoedAccess |
| Embargo End Date: | 2035-07-20 |
| Appears in Collections: | FCUP - Relatório de Estágio |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 734574.pdf Restricted Access | Enhancing Inbound Logistics Performance: Machine Learning- Based Prediction of Port-to-Port Lead Time and Target Setting | 2.29 MB | Adobe PDF | View/Open |
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