The　increasing　number　of　prefabrication　projects　has　increased　the　demand　for　precast　concrete　(PC)　components.　The　production　cost　of　PC　components　significantly　affects　the　development　of　the　precast　industry　and　the　progress　of　prefabrication　projects.　To　reduce　the　production　cost,　both　the　delivery　delay　time　and　component　storage　time　must　be　reduced.　Flow-arrangement　optimization　is　generally　performed　using　the　genetic　algorithm.　However,　this　method　cannot　always　yield　a　perfect　optimal　solution.　Moreover,　the　traditional　optimization　model　does　not　consider　the　impact　of　the　overtime　hours　of　workers　on　the　project　costs.　In　this　study,　a　mixed-integer　linear　programming　(MILP)　model　was　developed　to　optimize　the　production　scheduling　by　minimizing　the　storage　and　delay　times.　The　total　delay　time　for　the　components　was　reduced　by　55.3%,　from　3.8　to　1.7　h,　and　the　total　storage　time　for　finished　components　was　reduced　by　20.3%,　from　6.4　to　5.1　h.　Then,　the　use　of　the　MILP　model　was　extended　to　optimize　the　production　scheduling　by　minimizing　overtime.　Finally,　the　feasibility　and　effectiveness　of　MILP　were　verified　by　comparing　the　results.　The　total　overtime　decreased　by　approximately　24.5%,　from　11.5　to　9.3　h.　It　has　been　demonstrated　that　the　proposed　MILP　model　can　achieve　a　better　production　sequence　with　less　overtime.　The　findings　of　this　research　can　be　deployed　in　optimizing　efficiency　in　the　real-life　scheduling　of　production　sequence.