Optimizing Disassembly Line Balancing Problem Using Multi-objective ADAM Optimizer Algorithm

Disassembly for the end of life products considered a very important issue nowadays, to keep an environment is clean as much as possible and reduce pollution by reducing industrial waste, the disassembly line is to solve this problem, but the disassembly line is facing more problems such as smoothness of workload in workstations, hazard parts in disassembly products, etc. To optimize these problems in the disassembly line, we proposed a multi-objective ADAM optimizer algorithm to optimize and balance the objectives. An automatic disassembly line is assumed to increase disassembly processes rather than manually. The mathematical model embedded in the proposed algorithm simulated in default disassembly line, a Pareto set used to detect for non-inferior solutions in the algorithms, and the results indicated to improve the productivity of between 400% to 500%, reduced the energy consumption between 50% to 75%, reducing the number of workstations between 80% to 95%, and reduced cycle time between 70% to 85%.