In　high-rise　building　construction　in　urban　areas,　completed　floors　used　as　material　storage　provide　usable　spaces　to　support　construction　activities.　A　binary　mixed-integer　linear　programming　(BMILP)　problem　has　been　formulated　to　optimize　material　storage　cell　use　in　lower　completed　floors　by　minimizing　total　material-handling　and　transportation　costs,　taking　both　horizontal　and　vertical　movement　paths　into　consideration.　Frequent　vertical　material　movements　via　elevator　cause　delay.　Work　overtime　may　induce　extra　site　operation　and　other　labor-related　costs　if　storage　is　not　well　managed　to　exploit　a　elevator.　To　integrate　overtime　costs　into　an　objective　function　for　optimization,　a　compatible　time　dimension　has　been　modeled　so　that　actual　material　movement　times　and　relevant　time　costs　triggered　by　overtime　can　be　optimized.　A　delivery　work　sequence　is　modeled　and　optimized　for　scheduling　user　requests.　A　numerical　example　for　managing　10　material　types　in　a　30-story　building　is　given　for　illustration.　The　BMILP　problem　is　solved　by　a　standard　branch-and-bound　technique　for　global　optimum　solution.