The multi-model multi-robotic disassembly line balancing problem (MM-MRDLBP) aims to optimize disassembly operations in sustainable manufacturing. This study tackles this problem by minimizing the number of robots required to implement the disassembly operations in the disassembly area, where several robots in the disassembly line disassemble the end-of-life (EOL) products. A mathematical model is utilized as an optimization tool to minimize the number of required robots during different periods. The EOL products are assigned to be disassembled in the line in a multi-model, where different EOL products could be assigned to be disassembled on the line simultaneously. Optimizing the number of robots reduces the system’s total cost. It also leads to the creation of a flexible smart system. The findings help the decision-makers to determine the best combination of EOL products that the minimal number of robots could disassemble during different periods.