基于订单智能协同处理的产销存一体化管理  

Integrated management of production,sales and warehousing based on intelligent collaborative order processing

作　　者：陈斌[1] 姚媛媛[2] 安裕强[1] CHEN Bin YAO Yuanyuan AN Yuqiang(Logistics Center, Hongyun Honghe Tobacco （Group） Co., Ltd., Kunming 650231, China Yunnan Kunming Municipal Tobacco Company, Kunming 650021, China)

机构地区：[1]红云红河烟草(集团)有限责任公司物流中心,昆明市五华区红锦路367号650231 [2]云南省烟草公司昆明市公司五华区分公司,昆明市五华区青年路452号650021

出　　处：《中国烟草学报》2017年第3期119-123,共5页Acta Tabacaria Sinica

摘　　要：搭建了最优订单及最优车辆配置的数学模型,实现了订单自动拆分、运力资源配置、计划智能生成等;并结合下一周期发货信息和本期实时库存,提前预知各发货点的资源需求,预先安排生产计划。通过建立综合性、一站式解决方案,最终实现生产、销售、仓储的一体化管理。结果表明:经对自动生成的计划与实际业务计划比对,精确匹配率达45%,可执行率达95%;通过精准预排产及前置性移库,库存资源保障率由75%提升至92%。Optimal mathematic model of order processing and vehicle management was established, making possible automatic separation of orders, allocation of transporting resources, and intelligent generation of plans. With an overall consideration of delivery information of next cycle and real-time inventory, one can predict resource demand of each delivery point, and prearrange production plan for the following cycle. Integrated management of sales, production and warehouse was achieved based on a synthesized one-stop solution. Results showed that match ratio between automatic generated plan and plan in real practice was 45%, and implementation rate reached 95% and inventory guarantee rate increased from 75% to 92% through accurate pre-scheduling and pre-transfer of inventory.

关 键 词：订单分解 车辆配置 生产排产 规则引擎 产销存 

分 类 号：F274[经济管理—企业管理]