@article{bibcite_16271,
  keywords = {Supply chain uncertainty, Dual-channel strategy, Buffer space, Just-in-time delivery, Prefabricated construction supply chain, Two-stage stochastic programming},
  author = {Zhen-Song Chen and Jie-Qun Ruan and Vineeth Dharmapalan and Miros{\l}aw Skibniewski},
  title = {Dual-channel optimization of prefabricated construction supply chains using two-stage stochastic programming},
  abstract = {Prefabricated construction supply chains face uncertain daily demand and limited production capacity, but existing models often assume sufficient capacity or deterministic demand. This paper presents a two-stage stochastic programming model with a dual-channel strategy that combines direct factory-to-site delivery with temporary warehouse storage. The first stage determines production rates, fleet sizes, warehouse capacity, and advance-production lead time. The second stage adjusts daily production, inventory, and shipments for each demand scenario. Computational experiments compare the strategy with just-in-time (JIT) delivery and a warehouse-only configuration. The dual-channel strategy lowers expected total system cost relative to the warehouse-only configuration in all tested conditions, by 7.58\% on average. Its average saving over JIT is 4.81\%, but JIT is more cost-effective with longer construction durations or sufficient production capacity. The dual-channel strategy has an essentially zero expected shortage rate, whereas JIT averages 0.389\%. A case study illustrates the model{\textquoteright}s project-level application.},
  year = {2026},
  journal = {Automation in Construction},
  volume = {193},
  pages = {107349},
  issn = {0926-5805},
  url = {https://www.sciencedirect.com/science/article/pii/S092658052600590X},
  doi = {https://doi.org/10.1016/j.autcon.2026.107349},
}