ANALYZING PRE-POSITIONING WITHIN A DISRUPTED BULK PETROLEUM SUPPLY CHAIN

被引：0
|
作者：
Rossetti, Manuel D. [1 ]
Bright, Julianna [1 ]
机构：
[1] Univ Arkansas, Dept Ind Engn, 4207 Bell Engn Ctr, Fayetteville, AR 72701 USA
来源：
2019 WINTER SIMULATION CONFERENCE (WSC) | 2019年
基金：
美国国家科学基金会;
关键词：
FRAMEWORK;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper examines the modeling of disruption events within a bulk petroleum supply chain through the use of an object-oriented simulation library. We describe how the library models disruption events and their effects on supply chain operations. This includes how to specify disruptions, mitigation strategies and metrics that can be used to assess the impact of the disruption. The modeling is illustrated via an analysis of a supply chain involving DLA Energy's bulk petroleum supply chain as impacted by a category 4 hurricane scenario. The effectiveness of pre-positioning of inventory within the supply chain is illustrated.
引用
收藏
页码：1813 / 1824
页数：12
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