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...

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Bibliographic Details
Published in:	International journal of production research Vol. 61; no. 4; pp. 1283 - 1297
Main Authors:	Dwivedi, Ashish, Madaan, Jitender, Chan, Felix T. S., Dalal, Mohit
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 16.02.2023 Taylor & Francis LLC
Subjects:	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 Access:	Get full text
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