Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61481
Title: A robust inventory routing policy under inventory inaccuracy and replenishment lead-time
Authors: Li, M
Wang, Z
Chan, FTS 
Keywords: Inventory inaccuracy
Inventory routing
Robust policy
Issue Date: 2016
Publisher: Pergamon Press
Source: Transportation research. Part E, Logistics and transportation review, 2016, v. 91, p. 290-305 How to cite?
Journal: Transportation research. Part E, Logistics and transportation review 
Abstract: In this paper, we study an inventory routing problem under replenishment lead-time and inventory inaccuracy, which exist extensively in distribution systems for fresh products, but are often ignored in existing research. To solve the problem, a robust inventory routing policy is developed in three steps. At first, we propose the methods of updating the probability of the current net inventory and predicting those in future periods. For each candidate route, we develop a Robust TQL Algorithm to optimize the replenishment time, replenishment quantity and replenishment stage length. Finally, a genetic algorithm-based method is developed to optimize the delivery route.
URI: http://hdl.handle.net/10397/61481
ISSN: 1366-5545
EISSN: 1878-5794
DOI: 10.1016/j.tre.2016.05.001
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