Using inverse DEA and machine learning algorithms to evaluate and predict suppliers' performance in the apple supply chain
Year of publication: |
2024
|
---|---|
Authors: | Lin, Sheng-Wei ; Lu, Wen-Min |
Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-7579, ZDB-ID 2020829-7. - Vol. 271.2024, Art.-No. 109203, p. 1-15
|
Subject: | Data envelopment analysis | Machine learning algorithms | Apple supply chain | Supplier performance evaluation | Data-Envelopment-Analyse | Künstliche Intelligenz | Artificial intelligence | Lieferkette | Supply chain | Algorithmus | Algorithm | Performance-Messung | Performance measurement | Lieferantenmanagement | Supplier relationship management | Apfel | Apple | Lieferantenbewertung | Supplier evaluation |
-
Revealing differences of supplier performance with DEA cross-efficiency
Dobos, Imre, (2023)
-
Joo, Seong-Jong, (2020)
-
Saki, Pegah, (2015)
- More ...
-
Lin, Sheng-Wei, (2024)
-
Lin, Sheng-Wei, (2024)
-
Lin, Sheng-Wei, (2021)
- More ...