Title: Business intelligence for service parts logistics management

Authors: Nicole K.Y. Chan

Addresses: Department of Statistics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

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.

Keywords: inventory management; service logistics network design; network flow model; spare parts.

DOI: 10.1504/IJIMS.2019.100984

International Journal of Internet Manufacturing and Services, 2019 Vol.6 No.3, pp.245 - 261

Received: 22 Nov 2017
Accepted: 04 Apr 2018

Published online: 05 Jul 2019 *

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