A comparative study of GA and PSO approach for cost optimisation in product recovery systems

A product recovery system is proposed to reduce the bulk of waste sent to landfills by retrieving materials and parts of obsolete products for using them in remanufacturing and recycling. Product recovery is a significant strategy for enhancing customer satisfaction with regard to environmental conc...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of production research Jg. 61; H. 4; S. 1283 - 1297
Hauptverfasser:	Dwivedi, Ashish, Madaan, Jitender, Chan, Felix T. S., Dalal, Mohit
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 16.02.2023 Taylor & Francis LLC
Schlagworte:	Chains Comparative studies Customer satisfaction Fast moving consumer goods (FMCG) genetic algorithm (GA) Genetic algorithms Heuristic methods Integer programming Linear programming Mixed integer mixed integer linear programming (MILP) Obsolescence particle swarm optimisation (PSO) Particle swarm optimization Product recovery system (PRS) Remanufacturing
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!