01903nas a2200241   4500000000100000008004100001653002900042653002600071653001700097653002600114653004400140653003700184100001900221700001700240700002400257700002600281245011300307856007200420300001100492490000800503520113600511022001401647       2026                            d10aSupply chain uncertainty10aDual-channel strategy10aBuffer space10aJust-in-time delivery10aPrefabricated construction supply chain10aTwo-stage stochastic programming1 aZhen-Song Chen1 aJie-Qun Ruan1 aVineeth Dharmapalan1 aMirosław Skibniewski00aDual-channel optimization of prefabricated construction supply chains using two-stage stochastic programming  uhttps://www.sciencedirect.com/science/article/pii/S092658052600590X  a1073490 v1933 aPrefabricated 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.  a0926-5805