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

Author

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  • Huang, Shan-Huen
  • Lin, Pei-Chun

Abstract

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.

Suggested Citation

  • Huang, Shan-Huen & Lin, Pei-Chun, 2010. "A modified ant colony optimization algorithm for multi-item inventory routing problems with demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 598-611, September.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:5:p:598-611
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    Citations

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    Cited by:

    1. Li, Ming & Wang, Zheng & Chan, Felix T.S., 2016. "A robust inventory routing policy under inventory inaccuracy and replenishment lead-time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 290-305.
    2. Zhang, Ying & Qi, Mingyao & Miao, Lixin & Liu, Erchao, 2014. "Hybrid metaheuristic solutions to inventory location routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 305-323.
    3. Li, Jianxiang & Chu, Feng & Chen, Haoxun, 2011. "A solution approach to the inventory routing problem in a three-level distribution system," European Journal of Operational Research, Elsevier, vol. 210(3), pages 736-744, May.
    4. Luo, Zhixing & Qin, Hu & Zhang, Dezhi & Lim, Andrew, 2016. "Adaptive large neighborhood search heuristics for the vehicle routing problem with stochastic demands and weight-related cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 69-89.
    5. Niakan, Farzad & Rahimi, Mohammad, 2015. "A multi-objective healthcare inventory routing problem; a fuzzy possibilistic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 74-94.
    6. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline M. & Haijema, Rene & van der Vorst, Jack G.A.J., 2015. "Modeling an Inventory Routing Problem for perishable products with environmental considerations and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 164(C), pages 118-133.
    7. Cheng, Chun & Qi, Mingyao & Wang, Xingyi & Zhang, Ying, 2016. "Multi-period inventory routing problem under carbon emission regulations," International Journal of Production Economics, Elsevier, vol. 182(C), pages 263-275.
    8. Mirzapour Al-e-hashem, S.M.J. & Rekik, Yacine, 2014. "Multi-product multi-period Inventory Routing Problem with a transshipment option: A green approach," International Journal of Production Economics, Elsevier, vol. 157(C), pages 80-88.
    9. Li, Kunpeng & Chen, Bin & Sivakumar, Appa Iyer & Wu, Yong, 2014. "An inventory–routing problem with the objective of travel time minimization," European Journal of Operational Research, Elsevier, vol. 236(3), pages 936-945.
    10. Paredes-Belmar, Germán & Marianov, Vladimir & Bronfman, Andrés & Obreque, Carlos & Lüer-Villagra, Armin, 2016. "A milk collection problem with blending," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 26-43.
    11. Vidović, Milorad & Popović, Dražen & Ratković, Branislava, 2014. "Mixed integer and heuristics model for the inventory routing problem in fuel delivery," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 593-604.
    12. Bertazzi, Luca & Bosco, Adamo & Laganà, Demetrio, 2016. "Min–Max exact and heuristic policies for a two-echelon supply chain with inventory and transportation procurement decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 57-70.

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