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METHODS AND SYSTEMS FOR OPTIMIZING PRODUCTION FORECASTS USING STATISTICALLY PRIORITIZED DISCRETE MODELING METHODOLOGY

机译:使用统计优先离散建模方法优化生产预测的方法和系统

摘要

A computer-based method for dynamic path regeneration in a production environment as a function of stochastic event-driven parameters and constraints is described. The method includes examining existing status codes, for a plurality of remaining production jobs, to determine a current status for a production unit, applying at least one of predecessor relationships and successor relationships for the remaining production jobs to the existing status codes, analyzing historical job performance statistics for a number of previous production units based on production job performance data associated with the previous production units, and providing a user interface that depicts the remaining production jobs in order of criticality, the order of criticality determined based on the existing status codes, the at least one of predecessor relationships and successor relationships, and the analysis of the historical job performance statistics.
机译:描述了一种基于计算机的方法,用于在生产环境中根据随机事件驱动的参数和约束来动态生成路径。该方法包括检查多个剩余生产作业的现有状态码,以确定生产单元的当前状态,将剩余生产作业的前代关系和后继关系中的至少一种应用于现有状态码,分析历史作业根据与先前生产单位相关的生产工作绩效数据,对多个先前生产单位的绩效统计数据,并提供一个用户界面,该界面以关键程度描述了剩余的生产工作,关键程度基于现有状态代码确定,前任关系和后继关系中的至少一项,以及对历史工作绩效统计数据的分析。

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