Remanufacturing system scheduling of batch products with the consideration of dynamic changes in machine efficiency using an improved artificial bee colony algorithm

Qinyu Jin, Shuai Zhang, Jiyuan Xu, Kang Jiang, Yuanzhe Cheng, Wenyu Zhang

Abstract: Highlights•A new remanufacturing system scheduling model of batch recycled products is proposed.•Deterioration effect and learning effect are combined to reflect the dynamic changes in machine efficiency.•The continuity and interaction of three RMS subsystems are explored.•An improved artificial bee colony algorithm with a new representation scheme is proposed.•Experimental results verify the superiority of the proposed algorithm.