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
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
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

Online Resource

Check full text access |

More access options

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

Which error do you want to report?

Report: URL of this record is broken

Please note: Sometimes more than one URL is available for a resource. Please click on "More Options" to display these URLs

Report: Addition of an URL to that resource

Please note: Sometimes more than one URL is available for a resource. Please click on "More Options" to display these URLs

Report: The language(s) of that resource is/are…

Please note: Required language not in the list? Please use comment field

Report: Addition of an identifier to that resource

Report: report typo

Report: Add statement

Report: Add keywords

Please use the commentary box to describe other errors

Would you like to receive a feedback?

Commentary

Please type the code from the image

For general questions please use this address.

Persistent link: https://www.econbiz.de/10014437651

A service of the