A modified ant colony optimization algorithm for multi-item inventory routing problems with demand uncertainty

Shan Huen Huang, Pei Chun Lin

研究成果: Article同行評審

106 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)598-611
頁數14
期刊Transportation Research Part E: Logistics and Transportation Review
46
發行號5
DOIs
出版狀態Published - 2010 九月

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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