At　present,stereoscopic　warehouse　is　widely　used　in　textile　workshops.Aiming　at　the　low　scheduling　efficiency　of　a　popular　and　general　multi-task　stereoscopic　warehouse　in　textile　enterprises,a　set　of　warehouse　scheduling　methods　was　proposed　from　three　aspects:task　advance　scheduling,storage　location　allocation　and　task　sequence　optimization.To　solve　the　problem　of　unclear　working　time　of　different　workers　in　manual　operation　area,a　method　for　predicting　working　time　of　workers　based　on　the　autoregressive　moving　average　model　was　proposed.In　view　of　the　unreasonable　allocation　of　storage　location,a　multi-objective　allocation　model　was　established,and　a　solution　method　based　on　simulated　annealing　algorithm　was　proposed.For　the　low　execution　efficiency　caused　by　the　accumulation　of　task　sequence,an　improved　genetic-particle　swarm　optimization　algorithm　for　task　sequence　reordering　was　presented.The　experimental　comparative　analysis　showed　that　the　proposed　method　could　effectively　improve　the　scheduling　efficiency　of　the　stereoscopic　warehouse.　©　2023　CIMS.　All　rights　reserved.