Bibliographische Detailangaben
| Titel: |
Simulation-based genetic algorithm for optimizing a municipal cooperative waste supply chain in a pandemic |
| Autoren: |
Peiman Ghasemi (Department of Business Decisions and Analytics, Faculty of Business, Economics and Statistics, University of Vienna), Alireza Goli (Department of Industrial Engineering and Future Studies, Faculty of Engineering, University of Isfahan), Fariba Goodarzian (Edinburgh Business School (EBS) and School of Social Sciences, Heriot-Watt University), Jan Fabian Ehmke (Department of Business Decisions and Analytics, Faculty of Business, Economics and Statistics, University of Vienna) |
| Quelle: |
Engineering Applications of Artificial Intelligence ; issn:0952-1976 |
| Verlagsinformationen: |
Elsevier BV |
| Publikationsjahr: |
2025 |
| Bestand: |
University of Vienna: Phaidra |
| Schlagwörter: |
Supply chain network, Simulation-optimization model, Urban waste management, Simulation-based genetic algorithm, Cooperative game |
| Beschreibung: |
The abstract is available here: https://uscholar.univie.ac.at/o:2110673 ; The abstract is available here: https://uscholar.univie.ac.at/o:2110673 |
| Publikationsart: |
article in journal/newspaper |
| Dateibeschreibung: |
application/pdf |
| Sprache: |
English |
| Relation: |
hdl:11353/10.2110673; https://phaidra.univie.ac.at/o:2110673 |
| DOI: |
10.1016/j.engappai.2024.109478 |
| Verfügbarkeit: |
https://doi.org/10.1016/j.engappai.2024.109478
https://phaidra.univie.ac.at/o:2110673 |
| Rights: |
© 2024 The Authors ; open access ; http://creativecommons.org/licenses/by/4.0/ |
| Dokumentencode: |
edsbas.B04E0200 |
| Datenbank: |
BASE |
Nájsť tento článok vo Web of Science