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Inventory policies and safety stock optimization for supply chain planning
AIChE Journal ( IF 3.7 ) Pub Date : 2018-10-22 , DOI: 10.1002/aic.16421
Braulio Brunaud 1 , José M. Laínez-Aguirre 2 , Jose M. Pinto 2 , Ignacio E. Grossmann 1
Affiliation  

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. © 2018 American Institute of Chemical Engineers AIChE J, 65: 99–112, 2019

中文翻译:

供应链计划的库存策略和安全库存优化

在本文中,扩展了传统的供应链计划模型以同时优化库存策略。考虑的库存策略是(r,Q)和(s,S)策略。在(r,Q)库存策略中,每当库存水平达到r级时就下达Q个单位的订单,而在s,S策略中,以预定的时间间隔检查库存。如果发现库存低于s级,则下达订单以将其恢复到S级。此外,为解决需求不确定性,提出了四种安全库存公式:(1)与吞吐量成比例,(2)与吞吐量成比例具有风险分担的效果;(3)明确的风险分担;以及(4)有保证的服务时间。提出的模型可以同时优化安全库存,储备,和基本库存水平与供应链计划中的物料流同步。使用模拟评估配方。©2018美国化学工程师学会AIChE J,65:99–112,2019
更新日期:2018-10-22
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