Business intelligence for service parts logistics management

N. Chan
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引用次数: 2

Abstract

Many leading companies now offer global customers better spare parts services for system maintenance through a complex service logistics network, which extends traditional on-site stocking management to boost profit margins. The major challenge that spare parts service providers face is how to achieve desired service levels at a low cost and minimise excess inventory in the global spare parts supply chain. To address this issue, we demonstrate an inventory redeployment strategy that transforms a conventional spare parts supply chain into a closed-loop, multi-echelon service network capable of redeploying inventory from overstocked to understocked facilities, and thus reducing purchases of high-value spare parts. To assess the quality of our novel approach, we used a network flow optimisation model to analyse the proposed excess inventory redeployment strategy based on an international company's service parts operations. Significant inventory cost savings were identified.
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服务零部件物流管理的商业智能
许多领先的公司现在通过复杂的服务物流网络为全球客户提供更好的系统维护备件服务,这扩展了传统的现场库存管理,以提高利润率。备件服务供应商面临的主要挑战是如何以低成本达到预期的服务水平,并最大限度地减少全球备件供应链中的过剩库存。为了解决这个问题,我们展示了一种库存重新部署策略,该策略将传统的备件供应链转变为一个闭环、多级服务网络,能够将库存从库存过剩的设施重新部署到库存不足的设施,从而减少高价值备件的采购。为了评估我们的新方法的质量,我们使用网络流优化模型来分析基于一家国际公司服务部件运营的过剩库存重新部署策略。节省了大量的库存成本。
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来源期刊
International Journal of Internet Manufacturing and Services
International Journal of Internet Manufacturing and Services Engineering-Industrial and Manufacturing Engineering
CiteScore
0.70
自引率
0.00%
发文量
7
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