Scenario-based multi-objective optimisation model based on supervised machine learning to configure a plastic closed-loop supply chain network
Sahand Ashtab, Babak Mohamadpour Tosarkani
| Year of publication: |
2023
|
|---|---|
| Authors: | Ashtab, Sahand ; Tosarkani, Babak Mohamadpour |
| Published in: |
International journal of business performance and supply chain modelling. - Olney, Bucks : Inderscience, ISSN 1758-941X, ZDB-ID 2521783-5. - Vol. 14.2023, 1, p. 106-128
|
| Subject: | closed loop supply chain | CLSC | corporate responsibility | logistic regression | machine learning technique | multi-objective optimisation | plastic | Lieferkette | Supply chain | Künstliche Intelligenz | Artificial intelligence | Betriebliche Kreislaufwirtschaft | Reverse logistics | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Corporate Social Responsibility | Corporate social responsibility | Kunststoff | Plastics | Mathematische Optimierung | Mathematical programming | Algorithmus | Algorithm | Unternehmensnetzwerk | Business network |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJBPSCM.2023.130469 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014287784