To explore the potential of remanufacturing industry and enhance its contribution to environmental protection without reducing commercial interests, energy saving is considered in the study of scheduling decisions for the remanufacturing system with parallel flow-shop-type reprocessing lines. An improved multi-objective artificial bee colony algorithm is proposed while turning off idle machine policy helps further cut down energy consumption. First, bi-objective mathematical model is established to minimize the makespan and energy consumption. On this basis, an original artificial bee colony algorithm was adapt to multi-objective algorithm with elite strategy and double neighborhood search to ensure the convergence of the algorithm, and local optimal escape operator was brought to improve the exploitation of the algorithm. Because of the component matching requirement of product assembly, the disassembly operation and reprocessing operation are not fixed, leaving machines lots of idle time to be decided if closing machine benefits saving energy, and the energy consumption subproblem is solved by a simulated annealing algorithm with elite strategy. Finally, numerical calculation and comparison with the existing typical algorithm demonstrate that the proposed algorithm is valid and feasible, and the energy can be saved substantially in desired makespan.