The　implementation　of　prefabricated　buildings　is　hindered　by　the　high　construction　cost.　To　address　this　problem,　it　is　important　to　determine　the　efficient　leverage　of　the　supply　capacity　of　local　factories　to　assure　just-in-time　delivery　to　the　construction　site,　as　well　as　to　accurately　model　the　various　types　of　cost　to　achieve　a　near-optimal　procurement　strategy.　This　paper　describes　a　mathematical　model　to　optimize　the　procurement　of　prefabricated　components.　A　genetic　algorithm　is　applied　to　efficiently　obtain　the　minimum　total　cost　that　includes　installation　cost,　business　management　cost　and　loan　interest　cost.　Finally,　a　number　of　numerical　experiments　are　conducted,　showing　that　the　procurement　strategy　generated　from　the　proposed　mathematical　model　is　better　than　the　traditional　procurement　strategy　in　terms　of　construction　duration　reductions　and　total　cost　savings.　The　component　procurement　method　proposed　in　this　paper　improves　the　scientific　management　ability　of　decision-makers,　and　provides　purchasing　framework　for　other　prefabricated　structural　forms.　©　2022　Elsevier　B.V.