Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry
Abstract The insufficient loading of vehicles, which leads to a low logistics load factor is a common problem in the logistics industry. This study addresses this issue by utilizing actual shipment data from an automotive company. An effective method has been proposed to improve the company’s logist...
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| Main Authors: | Raziye Kılıç Sarıgül, Burak Erkayman, Bilal Usanmaz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-94713-8 |
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