A simulation-based genetic algorithm approach for remanufacturing process planning and scheduling

We consider integrated process planning and scheduling for remanufacturing. Two potentially conflicting objective functions are considered simultaneously. A simulation-based genetic algorithm approach is developed. Key parameters of the algorithm have been fine-tuned. Extensive computational experiments and evaluations have been performed. Remanufacturing has attracted growing attention in recent years because of its energy-saving and emission-reduction potential.