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
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
VL - 46
SP - 598
EP - 611
JO - Transportation Research, Part E: Logistics and Transportation Review
JF - Transportation Research, Part E: Logistics and Transportation Review
SN - 1366-5545
IS - 5
ER -