An Empirical Investigation of Costs in Batching Decisions*
研究了批量制造中批量决策的成本函数使用问题，发现基于平均库存的模型不充分，提出以提前期为核心的物理模型更能反映实际价值。
This paper examines the use of costs and cost functions to model lot‐sizing decisions in batch manufacturing. The cost functions used to model a wide variety of manufacturing systems are typically derived from average cost models of unconstrained inventory problems. The use of setups and average inventories as the basis for modeling the economics of a typical batch manufacturing cell is shown to be inadequate. An alternative physical model that focuses on lead times provides a model that more closely represents the underlying value of such a cell.