Inventory management support systems for emergency humanitarian relief operations in South Sudan

Inventory management support systems for emergency humanitarian relief operations in South Sudan Purpose – To develop and test three different inventory management strategies as applied to the complex emergency in south Sudan. Design/methodology/approach – Quantitative modeling, simulation, and statistics. Findings – This research identified critical system factors that contributed most significantly to inventory system performance, and identified strengths and weaknesses of each inventory management strategy. Research limitations/implications – This research represents a first step in developing inventory management systems for humanitarian relief. Future work would include modeling correlation among relief items, multiple items, and considering the impact of information. Practical implications – In a domain that has seen limited application of quantitative models, this work demonstrates the performance benefits of using quantitative methods to manage inventory in a relief setting. Originality/value – This research has value for relief organizations by providing a real‐world application of quantitative inventory management strategies applied to a complex emergency, and demonstrated performance advantages of quantitative versus ad hoc methods. This research has value for researchers by providing a new application of simulation and mathematical modeling (humanitarian relief). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Logistics Management Emerald Publishing

Inventory management support systems for emergency humanitarian relief operations in South Sudan

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Publisher
Emerald Publishing
Copyright
Copyright © 2006 Emerald Group Publishing Limited. All rights reserved.
ISSN
0957-4093
DOI
10.1108/09574090610689952
Publisher site
See Article on Publisher Site

Abstract

Purpose – To develop and test three different inventory management strategies as applied to the complex emergency in south Sudan. Design/methodology/approach – Quantitative modeling, simulation, and statistics. Findings – This research identified critical system factors that contributed most significantly to inventory system performance, and identified strengths and weaknesses of each inventory management strategy. Research limitations/implications – This research represents a first step in developing inventory management systems for humanitarian relief. Future work would include modeling correlation among relief items, multiple items, and considering the impact of information. Practical implications – In a domain that has seen limited application of quantitative models, this work demonstrates the performance benefits of using quantitative methods to manage inventory in a relief setting. Originality/value – This research has value for relief organizations by providing a real‐world application of quantitative inventory management strategies applied to a complex emergency, and demonstrated performance advantages of quantitative versus ad hoc methods. This research has value for researchers by providing a new application of simulation and mathematical modeling (humanitarian relief).

Journal

The International Journal of Logistics ManagementEmerald Publishing

Published: May 1, 2006

Keywords: Inventory management; Emergency services; Simulation; Sudan

References

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