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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	International journal of production research Ročník 61; číslo 4; s. 1283 - 1297
Hlavní autoři:	Dwivedi, Ashish, Madaan, Jitender, Chan, Felix T. S., Dalal, Mohit
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Taylor & Francis 16.02.2023 Taylor & Francis LLC
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!