A multi-objective stochastic programming approach with untrusted suppliers for green supply chain design by uncertain demand, shortage, and transportation costs

In recent decades, people are paying more attention to protecting the environment and biological resources. One of the most important issues of environmental pollution is air pollution, with production and transportation contributing a significant number of emissions. Considering the various warning...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of cleaner production Jg. 408; S. 137007
Hauptverfasser:	Moayedi, Maryam, Sadeghian, Ramin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2023
Schlagworte:	air pollution algorithms carbon dioxide case studies energy genetics Green supply chain design MOPSO algorithm Multi-objective stochastic programming NSGA-II algorithm profitability risk Sensitivity analysis supply chain transportation Uncertainty Untrusted supplies variance Green supply chain design NSGA-II algorithm Multi-objective stochastic programming Uncertainty Sensitivity analysis MOPSO algorithm Untrusted supplies
ISSN:	0959-6526, 1879-1786
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!