Modeling the supply chain network in the fast-moving consumer goods industry during COVID-19 pandemic
Year of publication: |
2023
|
---|---|
Authors: | Asgharizadeh, Ezzatollah ; Daneshvar, Amir ; Homayounfar, Mahdi ; Salahi, Fariba ; Khouzani, Mohsen Amini |
Published in: |
Operational research : an international journal. - Berlin : Springer, ISSN 1866-1505, ZDB-ID 2425760-6. - Vol. 23.2023, 1, Art.-No. 14, p. 1-32
|
Subject: | COVID-19 pandemic | Fast-moving consumer goods | Location-routing problem | Meta-heuristics algorithm | Product freshness | Shelf life | Supply chain network design | Lieferkette | Supply chain | Coronavirus | Epidemie | Epidemic | Konsumgüterindustrie | Consumer goods industry |
-
Aldrighetti, Riccardo, (2023)
-
Chiguvi, Douglas, (2023)
-
Neboh, Nkechi D., (2021)
- More ...
-
Taherkhani, Leila, (2024)
-
Hussain, Sundas, (2023)
-
Portfolio rebalancing based on a combined method of ensemble machine learning and genetic algorithm
Faridi, Sanaz, (2023)
- More ...