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Efficient supply chain management at the US Coast Guard using part-age dependent supply replenishment policies

机译:美国海岸警卫队有效的供应链管理,使用依赖于部分年龄的补给政策

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摘要

The United States Coast Guard (USCG), now part of the Department of Homeland Security, has the mission to secure the U.S. coastline using a combination of air and sea capabilities. This paper focuses on an application of operations research techniques at the USCG to improve the performance of its aircraft service parts supply chain. We focused on evaluating the supply chain benefits from linking the aircraft maintenance database with the aircraft parts inventory database. This required us to (a) develop an approach to link the databases and (b) use aircraft maintenance information to improve the inventory management of service parts at the USCG. We first used mathematical programming tools to merge the maintenance database with the demand database. We then developed state-dependent supply replenishment policies that use part-age information to manage the service parts supply chain. We show that one of the proposed policies permits analytic estimation of the benefits of linking the data sets. The impact of these inventory policies was evaluated using empirical demand data for 41 critical parts over a five-year period. Computational results suggest that our proposed policies can lead to significant reductions in inventory cost over the current system, as high as 70% for some parts. Based on the insights from this study, the USCG is currently contracting with commercial vendors to develop an operational database and decision-support implementation across all parts.
机译:美国海岸警卫队(USCG)现在是美国国土安全部的一部分,其任务是利用空中和海上能力的结合来保护美国海岸线。本文着重于USCG运筹学技术的应用,以改善其飞机服务零件供应链的绩效。我们专注于评估通过将飞机维修数据库与飞机零件库存数据库链接起来的供应链收益。这要求我们(a)开发一种方法来链接数据库,并且(b)使用飞机维护信息来改善USCG的服务零件库存管理。我们首先使用数学编程工具将维护数据库与需求数据库合并。然后,我们制定了基于状态的供应补货策略,该策略使用零件年龄信息来管理服务零件供应链。我们表明,提出的政策之一允许对链接数据集的好处进行分析估计。这些库存政策的影响是使用五年期内41个关键零件的经验需求数据进行评估的。计算结果表明,我们提出的策略可以显着降低当前系统的库存成本,某些零件的成本降低高达70%。根据这项研究的见识,USCG当前正在与商业供应商签约,以开发一个可操作的数据库并在所有部分中实施决策支持。

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