Abstract:  The multimanned two-sided disassembly with walking workers was an ideal choice for processing large products with multiple attributes in disassembly line. So, a multimanned two-sided disassembly of walking workers line balancing problem was proposed. A mathematical model was built with the goal of minimizing the number of multimanned workstations, senior workers, idle time, and fatigue index. In addition, a salp swarm-differential evolution algorithm with incentive strategy was proposed to solve the disassembly line balancing problem. The algorithm performance was validated by using large-scale cases. The proposed model and algorithm were applied to a used car dismantling case, and multiple allocation schemes were obtained for enterprises to flexibly choose from.

Key words: walking worker, two-sided disassembly line, salp swarm-differential evolution algorithm, incentive strategy

摘要： 工人移动的多人共站双边拆卸是拆卸线处理具有多属性大型产品的理想选择，因此提出一个工人移动的多人共站双边拆卸线平衡问题。以最小化的组合工作站数、高级工人数、空闲时间和疲劳指数为目标构建数学模型，并提出一种含有激励策略的樽海鞘群差分混合算法来解决拆卸线平衡问题。大规模案例验证了算法性能。所提模型与算法应用至某废旧汽车拆卸案例能得到可供企业灵活选择的多个分配方案。

关键词: 工人移动, 双边拆卸线, 樽海鞘群差分算法, 激励策略