A machine learning based branch-cut-and-Benders for dock assignment and truck scheduling problem in cross-docks
Rahimeh Neamatian Monemi, Shahin Gelareh, Nelson Maculan
| Year of publication: |
2023
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|---|---|
| Authors: | Neamatian Monemi, Rahimeh ; Gelareh, Shahin ; Maculan F., Nelson |
| Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 178.2023, p. 1-19
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| Subject: | Benders decomposition | Classification | Cross-docking | MILP modeling | Scheduling-Verfahren | Scheduling problem | Künstliche Intelligenz | Artificial intelligence | Dekompositionsverfahren | Decomposition method | Ganzzahlige Optimierung | Integer programming | Algorithmus | Algorithm | Logistikunternehmen | Logistics provider | Theorie | Theory | Klassifikation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2023.103263 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014437651