TY - JOUR
T1 - A modified ant colony optimization algorithm for multi-item inventory routing problems with demand uncertainty
AU - Huang, Shan Huen
AU - Lin, Pei Chun
N1 - Funding Information:
The authors gratefully acknowledges the helpful comments of the editor and the anonymous reviewer who provided valuable input and comments that have contributed to improving the content and exposition of this paper. This research was supported in part by a grant from the National Science Council of the Republic of China in Taiwan under grants NSC 96-2415-H-006-008 .
PY - 2010/9
Y1 - 2010/9
N2 - This paper addresses an integrated model that schedules multi-item replenishment with uncertain demand to determine delivery routes and truck loads, where the actual replenishment quantity only becomes known upon arrival at a demand location. This paper departs from the conventional ant colony optimization (ACO) algorithm, which minimizes total travel length, and incorporates the attraction of pheromone values that indicate the stockout costs on nodes. The contributions of the paper to the literature are made both in terms of modeling this combined multi-item inventory management with the vehicle-routing problem and in introducing a modified ACO for the inventory routing problem.
AB - This paper addresses an integrated model that schedules multi-item replenishment with uncertain demand to determine delivery routes and truck loads, where the actual replenishment quantity only becomes known upon arrival at a demand location. This paper departs from the conventional ant colony optimization (ACO) algorithm, which minimizes total travel length, and incorporates the attraction of pheromone values that indicate the stockout costs on nodes. The contributions of the paper to the literature are made both in terms of modeling this combined multi-item inventory management with the vehicle-routing problem and in introducing a modified ACO for the inventory routing problem.
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U2 - 10.1016/j.tre.2010.01.006
DO - 10.1016/j.tre.2010.01.006
M3 - Article
AN - SCOPUS:77952672360
SN - 1366-5545
VL - 46
SP - 598
EP - 611
JO - Transportation Research Part E: Logistics and Transportation Review
JF - Transportation Research Part E: Logistics and Transportation Review
IS - 5
ER -