HEURISTIC LOT‐SIZING APPROACHES FOR DEALING WITH MRP SYSTEM NERVOUSNESS
修改了Silver-Meal和部分周期平衡两种批量确定方法，将需求估计变化导致的排程变动成本纳入考量，以降低MRP系统的不稳定性。测试表明修改后的Silver-Meal方法成本接近最优的Wagner-Whitin算法，而部分周期平衡方法表现差且不稳定。
ABSTRACT We develop and test ways for modifying the Silver‐Meal and part‐period‐balancing lot‐sizing procedures to include the costs of schedule changes in response to changes in demand estimates. These modifications tend to reduce MRP system nervousness. We compare the performance of these approaches with the modified Wagner‐Whitin algorithm, which we have shown is optimal for static conditions. We find that the modified SilverMeal approach is only slightly more costly than the modified Wagner‐Whitin technique and that the modified part‐period‐balancing approach performs both poorly and erratically.