Integrated Optimization of the Location–Inventory Problem of Maintenance Component Distribution for High-Speed Railway Operations
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Cited by:
- Lingyun Zhou & Dezhi Zhang & Shuangyan Li & Xiangyu Luo, 2023. "An Integrated Optimization Model of Green Supply Chain Network Design with Inventory Management," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
- Huizhu Wang & Jianqin Zhou, 2023. "Location of Railway Emergency Rescue Spots Based on a Near-Full Covering Problem: From a Perspective of Diverse Scenarios," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
- Martin Straka, 2021. "Design of a Computer-Aided Location Expert System Based on a Mathematical Approach," Mathematics, MDPI, vol. 9(9), pages 1-25, May.
- Sina Nayeri & Mahdieh Tavakoli & Mehrab Tanhaeean & Fariborz Jolai, 2022. "A robust fuzzy stochastic model for the responsive-resilient inventory-location problem: comparison of metaheuristic algorithms," Annals of Operations Research, Springer, vol. 315(2), pages 1895-1935, August.
- Fathi, Mahdi & Khakifirooz, Marzieh & Diabat, Ali & Chen, Huangen, 2021. "An integrated queuing-stochastic optimization hybrid Genetic Algorithm for a location-inventory supply chain network," International Journal of Production Economics, Elsevier, vol. 237(C).
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Keywords
distribution network design; maintenance components of high-speed railway; location–inventory problem; optimization model; adaptive genetic algorithm; case study;All these keywords.
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