Inventory policies and safety stock optimization for supply chain planning

被引:23
|
作者
Brunaud, Braulio [1 ]
Lainez-Aguirre, Jose M. [2 ]
Pinto, Jose M. [2 ]
Grossmann, Ignacio E. [1 ]
机构
[1] Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA
[2] Praxair Inc, Danbury, CT 06810 USA
基金
美国安德鲁·梅隆基金会;
关键词
supply chain optimization; production planning; inventory control; mixedinteger; programming; LOCATION; DESIGN; MODELS; MANAGEMENT; ALGORITHM;
D O I
10.1002/aic.16421
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this article, traditional supply chain planning models are extended to simultaneously optimize inventory policies. The inventory policies considered are the (r,Q) and (s,S) policies. In the (r,Q) inventory policy an order for Q units is placed every time the inventory level reaches level r, while in the s,S policy the inventory is reviewed in predefined intervals. If the inventory is found to be below level s, an order is placed to bring the level back to level S. Additionally, to address demand uncertainty four safety stock formulations are presented: (1) proportional to throughput, (2) proportional to throughput with risk-pooling effect, (3) explicit risk-pooling, and (4) guaranteed service time. The models proposed allow simultaneous optimization of safety stock, reserve, and base stock levels in tandem with material flows in supply chain planning. The formulations are evaluated using simulation. (c) 2018 American Institute of Chemical Engineers AIChE J, 65: 99-112, 2019
引用
收藏
页码:99 / 112
页数:14
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