Multiobjective Human–Robot Collaborative Disassembly Sequence Planning: Considering the Properties of Components
Shujin Qin, Chong Li, Jiacun Wang, Shixin Liu, Ziyan Zhao, Xiwang Guo, Liang Qi
Abstract
With the improvement of modern human living standards, the speed of product renewal is accelerating, and the classification and recycling of waste products and the reuse of resources have received great attention from scholars and industry. The disassembly of used products plays an important role in the implementation of the work. Considering the difference between the component values of a product and the disassembling complexity of each component, this article studies human–robot collaborative disassembly and investigates multiobjective disassembly sequence planning (DSP). Mathematical models are established with the optimization goals of maximizing profit and minimizing working time. The well-known optimizer CPLEX is used to verify the correctness of the mathematical model, and the gray wolf optimization algorithm (GWOA) is adopted to find the optimal solution. By comparing it with non-dominated sorting genetic algorithm III (NSGAIII) and multi-objective evolutionary algorithms based on decomposition with a collaborative resource allocation strategy (MOEAD-CRA), the adaptability of the algorithm to the proposed mathematical model is proved.