TY - JOUR
KW - Supply chain uncertainty
KW - Dual-channel strategy
KW - Buffer space
KW - Just-in-time delivery
KW - Prefabricated construction supply chain
KW - Two-stage stochastic programming
AU - Zhen-Song Chen
AU - Jie-Qun Ruan
AU - Vineeth Dharmapalan
AU - Mirosław Skibniewski
AB - 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’s project-level application.
BT - Automation in Construction
DO - https://doi.org/10.1016/j.autcon.2026.107349
N2 - 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’s project-level application.
PY - 2026
EP - 107349
T2 - Automation in Construction
TI - Dual-channel optimization of prefabricated construction supply chains using two-stage stochastic programming
UR - https://www.sciencedirect.com/science/article/pii/S092658052600590X
VL - 193
SN - 0926-5805
ER -