The　execution　of　storing　and　retrieval　(R/S)　orders　in　a　public　warehouse　(PW)　is　very　expensive　because　it　tends　to　be　either　labor-　or　capital-intensive.　How　to　economically　and　efficiently　execute　these　orders　is　now　becoming　one　of　the　most　important　issues　for　PWs　in　today＇s　competitive　manufacturing　environment.　Therefore,　by　introducing　RFID　(radio　frequency　identification)　technology　into　PWs,　this　paper　proposes　a　RFID-based　order　scheduling　and　execution　monitoring　system　(rfid-OSEMS)　to　address　this　issue.　Firstly,　the　architecture　of　rfid-OSEMS　is　established,　which　can　be　divided　into　two　correlative　parts,　including　real-time　order　scheduling　(RTOS)　and　RFID-based　orders　executing　and　monitoring　(ROEM).　Next,　the　RTOS　model　is　put　forward　based　on　the　concept　of　order　group　and　the　shortest　path　calculation.　A　genetic　algorithm　is　employed　to　search　for　the　optimal　solution　for　RTOS.　Then,　the　ROEM　method　is　proposed　based　on　the　scheduling　results　of　RTOS,　wherein,　four　sub-models　are　discussed　one　by　one,　such　as　RFID　configuration　strategy　(RFCS),　RFID-based　order　executing　(RFOE),　real-time　data　collecting　(RTDC),　and　RFID-based　execution　monitoring　(RFEM).　It　not　only　shows　how　to　execute　R/S　orders　by　integrating　forklifts　with　RFID　devices,　but　also　reveals　how　to　collect　real-time　data,　what　data　should　be　collected,　and　how　to　use　this　collected　data　for　monitoring.　Finally,　a　use　case　is　studied　in　a　warehouse　laboratory　based　on　a　prototype　system　which　demonstrates　the　feasibility　and　applicability　of　the　proposed　methods　and　models.