Supply–Demand Matching of Engineering Construction Materials in Complex Mountainous Areas Based on Complex Environment Two-Stage Stochastic Programing

Liu Bao, Peigen Zhang, Ze Guo, Wanqi Wang, Qing Zhu and Yulin Ding ()
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Liu Bao: Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
Peigen Zhang: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
Ze Guo: Institute of Computing Technologies, China Academy of Railway Science Corporation Limited, Beijing 100081, China
Wanqi Wang: Institute of Computing Technologies, China Academy of Railway Science Corporation Limited, Beijing 100081, China
Qing Zhu: Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
Yulin Ding: Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China

Mathematics, 2024, vol. 12, issue 17, 1-14

Abstract: Effective supply and demand matching for construction materials is a crucial challenge in large-scale railway projects, particularly in complex and hazardous environments. We propose a two-stage stochastic programing model that incorporates environmental uncertainties, such as natural disasters, into the supply chain optimization process. The first stage determines optimal locations and capacities for material supply points, while the second stage addresses material distribution under uncertain demand. We further enhance the model’s efficiency with Benders decomposition algorithm. The performance of our model is rigorously compared with existing optimization approaches, demonstrating its superior capability in handling environmental uncertainties and complex logistical scenarios. This study provides a novel framework for optimizing supply chains in challenging environments, offering significant improvements over traditional models in both adaptability and robustness.

Keywords: matching supply and demand of materials; two-stage stochastic programing; uncertainty; Benders decomposition (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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