公开(公告)号：US20140343711A1

公开(公告)日：2014-11-20

申请号：US13897250

申请日：2013-05-17

申请人： International Business Machines Corporation ,  The Research Foundation of State University of New York

发明人： Faisal Aqlan ,  Keila Y. Martinez Camacho ,  Sarah S. Lam

IPC分类号： G05B15/02

CPC分类号： G05B19/41865 ,  G05B2219/32027 ,  G05B2219/32266 ,  Y02P90/18 ,  Y02P90/20 ,  Y02P90/26

摘要： A method for order prioritization includes calculating a cycle time for a product order of a plurality of product orders using an artificial neural network, determining a first order priority of the product order based on a priority index using an analytic hierarchy process, determining a second order priority of the product order based on event based simulation model, and determining a shipping date for the product order based on the second order priority. The artificial neural network calculates the cycle time based upon product order type and a plurality of component counts. The analytic hierarchy process determines a first order priority based upon a plurality of product order attributes. The simulation model determines a second order priority and completion time based upon the first order priority, product model, product type, a plurality of component counts, manufacturing capacity and inventory data, and production time data for historical product orders.

摘要翻译： 一种用于订单优先级的方法包括使用人造神经网络计算多个产品订单的商品订单的周期时间，使用分析层级过程基于优先级索引确定商品订单的一级优先级，确定第二订单 基于事件的仿真模型的产品订单的优先级，以及基于二阶优先级确定产品订单的发货日期。 人造神经网络基于产品订单类型和多个组件计数来计算周期时间。 分析层级过程基于多个产品订单属性来确定第一订单优先级。 模拟模型基于第一阶优先级，产品型号，产品类型，多个组件数量，制造能力和库存数据以及历史产品订单的生产时间数据来确定二阶优先级和完成时间。