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    • 1. 发明申请
    • METHOD FOR FORECASTING WORK-IN-PROCESS OUTPUT SCHEDULE AND COMPUTER PROGRAM PRODUCT THEREOF
    • 预测工作流程输出时间表和计算机程序产品的方法
    • US20130346024A1
    • 2013-12-26
    • US13561096
    • 2012-07-30
    • Haw-Ching YANGChien-Yi CHAOFan-Tien CHENG
    • Haw-Ching YANGChien-Yi CHAOFan-Tien CHENG
    • G06F17/18G06F19/00
    • G06Q10/00
    • A method for forecasting a WIP (work in process) output schedule and a computer program product thereof are provided. A plurality of sets of historical WIP data regarding a product generated in respective historical periods are first collected, in which the product has a maximum historical production cycle. Thereafter, a predetermined time is used to divide the maximum historical production cycle into intervals. Then, the quantities of historical WIPs appearing in the respective intervals are computed in accordance with output times of the historical WIPs recorded in each of the sets of historical WIP data, thereby obtaining output probability density data series. If the number of the historical periods is greater than or equal to a minimum model-building number, a predicted output probability density data series of a next period following the historical periods is conjectured by using the output probability density data series in accordance with a prediction algorithm.
    • 提供了一种用于预测WIP(在制品)输出计划及其计算机程序产品的方法。 首先收集关于在各历史期间生成的产品的多组历史WIP数据,其中产品具有最大历史生产周期。 此后,使用预定时间将最大历史生产周期划分为间隔。 然后,根据记录在每组历史WIP数据中的历史WIP的输出时间来计算出现在各个间隔中的历史WIP的数量,由此获得输出概率密度数据序列。 如果历史期间的数量大于或等于最小建模号码,则通过使用根据预测的输出概率密度数据序列推测历史周期之后的下一个周期的预测输出概率密度数据序列 算法。