Disassembly Sequence Planning of Used Smartphone Based on Dual-population Genetic Algorithm

In order to solve the environmental and resource problems caused by the mass scrapping of mobile phones, the disassembly and recycling technology of used smartphones was studied. Aiming at the complete disassembly of used smartphones, a genetic algorithm (GA)-based method was proposed. The disassembly sequence planning method, by analyzing the structural parts information of the smartphone, especially the constraint relationship between the parts, establishes a quintuple hybrid graph disassembly model, and uses the connection matrix and the priority matrix to describe the constraint relationship of the disassembly of the smartphone . Taking dismantling time and recycling profit as the decision-making goals, and simultaneously considering multiple indicators that affect the dismantling time and recycling profit, an innovative mathematical model of dismantling dual-objective decision-making optimization is constructed, and a dual-population GA search optimization solution is designed to determine the intelligent The optimal or sub-optimal disassembly sequence scheme for mobile phones. Taking the "iPhone6" smartphone as an example, the corresponding optimized disassembly sequence is solved by the designed algorithm, and compared with the empirical disassembly and basic GA, the results show that the disassembly time is shortened by 11.2% % and 5.6%, the recycling profit increased by 6.6% and 3.0%, which verified the feasibility and high efficiency of the method.