Using an agent-based neural-network computational model to improve product routing in a logistics facility
Till Becker, Christoph Illigen, Bill McKelvey, Michael Hülsmann, Katja Windt
| Year of publication: |
2016
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|---|---|
| Authors: | Becker, Till ; Illigen, Christoph ; McKelvey, Bill ; Hülsmann, Michael ; Windt, Katja |
| Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier, ISSN 0925-5273, ZDB-ID 1092526-0. - Vol. 174.2016, p. 156-167
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| Subject: | Logistics | Ship terminal | Routing heuristics | Agent-based computational model | Neural network model | Complexity management | Agentenbasierte Modellierung | Agent-based modeling | Tourenplanung | Vehicle routing problem | Neuronale Netze | Neural networks | Logistik | Logistikunternehmen | Logistics provider | Theorie | Theory | Heuristik | Heuristics | Simulation | Lieferkette | Supply chain |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijpe.2016.01.003 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011448583