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Impact of inventory allocation policies on downstream supply variability in a two-echelon system

Impact of inventory allocation policies on downstream supply variability in a two-echelon system This paper studies the impact of inventory allocation policies on the downstream supply variance and total cost in a two-echelon system with multiple sources of demand. We introduce a new metric known as the supply coefficient of variability (SCV) that will aid managers in the process of selecting inventory allocation policies in the presence of multiple sources of demand. We find that the variance in the supply is significantly affected by the inventory allocation polices used at the upstream node. We further find that the optimal inventory levels at each node in a multi-echelon system are not only a function of the demand, capacity, and lead time, but also a function of the allocation policy employed. A simulation-based inventory optimisation (SIO) algorithm is developed to search for optimal base-stock levels for a two-echelon system based on derivative estimates from an infinitesimal perturbation analysis (IPA) framework. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

Impact of inventory allocation policies on downstream supply variability in a two-echelon system

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2013.058205
Publisher site
See Article on Publisher Site

Abstract

This paper studies the impact of inventory allocation policies on the downstream supply variance and total cost in a two-echelon system with multiple sources of demand. We introduce a new metric known as the supply coefficient of variability (SCV) that will aid managers in the process of selecting inventory allocation policies in the presence of multiple sources of demand. We find that the variance in the supply is significantly affected by the inventory allocation polices used at the upstream node. We further find that the optimal inventory levels at each node in a multi-echelon system are not only a function of the demand, capacity, and lead time, but also a function of the allocation policy employed. A simulation-based inventory optimisation (SIO) algorithm is developed to search for optimal base-stock levels for a two-echelon system based on derivative estimates from an infinitesimal perturbation analysis (IPA) framework.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2013

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