Master Production Rescheduling Policy in Capacity‐Constrained Just‐In‐Time Make‐To‐Stock Environments
通过仿真实验评估了产能约束下准时制按库存生产环境中不同排程调整策略的效果，发现水平加载最稳健，而时间围栏因素影响不大。
Abstract This paper describes a simulation experiment to evaluate the relative effectiveness of rescheduling policies in capacity‐constrained, just‐in‐time (JIT) make‐to‐stock production environments. Three performance measures were analyzed: average finished goods inventory, total units of sales lost, and a measure of schedule instability. Among the three loading methods we studied (level loading, front loading, and back loading), none was superior across all three performance measures. Level loading was the most robust, while back loading had an interaction effect with forecasting model and capacity level. Time fence scenario was found not to be as significant a factor in system performance as reported by previous research. Once an acceptable time fence scenario is selected, attempts to optimize this factor do not appear to offer significant improvement. It was found that higher demand variation, larger forecast errors, and tight capacity lead to the degradation of system performance. Judicious use of slack capacity helps a system to incorporate the periodic schedule changes typical of JIT systems.