Inventory routing problem of automotive parts considering time-varying demands : a machine learning enhanced branch-and-price approach
Yu Wang, Renrong Zheng, Chengji Liang, Jian Shi
| Year of publication: |
2025
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| Authors: | Wang, Yu ; Zheng, Renrong ; Liang, Chengji ; Shi, Jian |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 202.2025, Art.-No. 104297, p. 1-24
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| Subject: | Automotive inbound logistics | Branch-and-price | Inventory routing | Machine learning | Time-varying demands | Künstliche Intelligenz | Artificial intelligence | Tourenplanung | Vehicle routing problem | Lagermanagement | Warehouse management | Kfz-Industrie | Automotive industry | Lieferkette | Supply chain | Logistik | Logistics | Bestandsmanagement | Inventory management | Automobilzulieferindustrie | Automotive supplier industry | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2025.104297 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015451862