关键词: 可重组制造系统, 缓冲区容量, 数学模型, 机床可用度, 任务需求率, 粒子群优化算法

Abstract: To determine the buffer capacity in the reconfigurable manufacturing system, by investigating the effect of machine working status and throughput on buffer capacity, the mathematical model of the buffer state was constructed. Then, the buffer capacity was determined as a function of machine utilization and requirement rate. To meet with production requirement, its objective was to minimize buffer capacity after reconfiguration. Buffer capacity for work-in-process among operations was decided by using particle swarm optimization algorithm, the in-differentiable exact penalty function was used to deal with constraints, and the weight value of variable inertia was used to conduct balance search. Finally, according to simulation example, its optimal allocation of buffer capacity after production line reconfiguration was discussed.

Key words: reconfigurable manufacturing system, buffer capacity, mathematical model, machine utilization, task requirement rate, particle swarm optimization algorithm