Recycling and remanufacturing industrial products is conducive to reducing production costs and protecting the environment. It is very important to make excellent equipment disassembly sequence planning to improve disassembly efficiency and reduce recovery costs. For the factors of equipment recycling in actual disassembly, a disassembly sequence planning model based on a discrete whale optimization algorithm (DWOA) is proposed in this study. The objective function of the model employs the position change cost as the new evaluation indicator and adopts the stratified combination method to rapidly generate the initial population. DWOA features the precedence preservative crossover mechanism, heuristic mutation, and better global and local search ability. Comparative experiments are conducted with recycled upper rubber plate and standstill seal to test the feasibility of the proposed algorithm. The experimental results show that at the same time, the algorithm stability, optimization ability, and convergence speed of DWOA are better than those of other algorithms.