Abstract: Focusing on the recycling and disassembly link of the closed-loop supply chain, this paper studies the joint scheduling problem of recycling and disassembly in the waste recycling and reuse system. Combined with the actual operation situation, considering the warehouse capacity limit during the processing process, and aiming to minimize the total cost of recycling and disassembly and minimize the completion time, an improved multi-objective grey wolf algorithm is proposed. For the two-stage scheduling process of joint scheduling, a three-layer coding strategy based on processes, machines, and transportation is designed; the Tent map is used to initialize the population to ensure the diversity of the population; a nonlinear adjustment convergence factor strategy is used to improve search capabilities and convergence speed; the idea of particle swarm optimization is introduced to improve the individual position update process of the grey wolf algorithm; the simulated annealing strategy is used to determine the final individual position update result. Finally, experimental simulations and comparisons with algorithms in other related fields are used to verify the applicability and superiority of the proposed algorithm in optimizing path scheduling and disassembly joint scheduling problems.
Keywords: waste recycling; joint scheduling; disassembly sequence planning; path scheduling; grey wolf algorithm
合肥工业大学学报自科版