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    • 2. 发明授权
    • Computer method for providing optimization of manufacturing processes, with dynamic constraints
    • 用于提供制造过程优化的计算机方法,具有动态约束
    • US06731994B2
    • 2004-05-04
    • US09844116
    • 2001-04-27
    • Aliza Rivka HechingYing Tat LeungMenachem LevanoniGyana R. Parija
    • Aliza Rivka HechingYing Tat LeungMenachem LevanoniGyana R. Parija
    • G06F1900
    • G06Q10/04
    • A computer method for providing optimization for manufacturing processes for situations wherein there is defined a functional form y=f(x,b), where x comprises a set of independent controllable variables x={x1, . . . xn}, b comprises a set of functional parameters b={b1, . . . bm}, and y comprises a dependent uncontrollable manufacturing variable, f(x,b) subject to constraints on the dependent uncontrollable manufacturing variable y. The method comprises the steps of converting the constraints on y to constraints on b by using a functional estimate of y and its manufacturing variables (parameters) b; optimizing the function f(x,b) subject to the converted constraints on its manufacturing variables (parameters) b; and generating from step (ii) a set of optimized values of b which can optimize the dependent manufacturing variable y.
    • 一种用于为制造过程提供优化的计算机方法,其中定义了函数形式y = f(x,b),其中x包括一组独立的可控变量x = {x1,..., 。 。 xn},b包括一组功能参数b = {b1,... 。 。 bm},y包含依赖于不可控的制造变量,f(x,b)受制于依赖的不可控制造变量y的约束。 该方法包括通过使用y的函数估计及其制造变量(参数)b将y上的约束转换为b上的约束的步骤; 优化函数f(x,b)受其制造变量(参数)b的转换约束; 以及从步骤(ii)生成可优化依赖制造变量y的一组优化值b。
    • 3. 发明授权
    • Computer method for providing optimization for business processes
    • 用于为业务流程提供优化的计算机方法
    • US06760632B1
    • 2004-07-06
    • US09631793
    • 2000-08-03
    • Aliza Rivka HechingYing Tat LeungMenachem LevanoniGyana Ranjan Parija
    • Aliza Rivka HechingYing Tat LeungMenachem LevanoniGyana Ranjan Parija
    • G06F1760
    • G06Q10/04
    • A computer method for providing optimization for business processes for situations wherein there is defined a functional form y=f(x,b), where x comprises a set of independent controllable variables x={x1, . . . xn}, b comprises a set of functional parameters b={b1, . . . bm}, and y comprises a dependent uncontrollable business variable, f(x,b) subject to constraints on the dependent uncontrollable business variable y. The method comprises the steps of converting the constraints on y to constraints on b by using a functional estimate of y and its business variables (parameters) b; optimizing the function f(x,b) subject to the converted constraints on its business variables (parameters) b; and generating from step (ii) a set of optimized values of b which can optimize the dependent business variable y.
    • 一种用于为业务处理提供优化的计算机方法,其中定义了函数形式y = f(x,b),其中x包括一组独立的可控变量x = {x1,..., 。 。 xn},b包括一组功能参数b = {b1,... 。 。 bm},并且y包含依赖于不可控制的业务变量f(x,b),受制于不可控业务变量y。 该方法包括通过使用y的函数估计及其业务变量(参数)b将y上的约束转换为b上的约束的步骤; 优化函数f(x,b)受其业务变量(参数)b的转换约束; 以及从步骤(ii)生成可以优化从属业务变量y的一组优化值b。
    • 10. 发明授权
    • Evaluation and ranking of manufacturing line non-numeric information
    • 生产线非数字信息的评估和排名
    • US5636144A
    • 1997-06-03
    • US460425
    • 1995-06-02
    • Jerome M. KurtzbergMenachem Levanoni
    • Jerome M. KurtzbergMenachem Levanoni
    • G05B19/418G01D7/02G01D9/28G06F17/10
    • G05B19/41875G05B2219/32187Y02P90/10Y02P90/22
    • An apparatus and method for quantitatively ranking the performance of each attribute contributing to a manufacturing process. Various signals representing the measure (i.e., quality or yield) of a manufacturing run and representing the attributes that contributed to each manufacturing run are recorded. An iterative process is commenced whereby numeric weights are assigned to each attribute. In a first iterative step, the weight of each attribute is determined to be the weighted average of the measure of each manufacturing run to which that attribute contributed. In subsequent iteration steps, a refined weight for each attribute is determined by computing the ratio between the normalized measure and the product of all other weights associated with that manufacturing run. The iterations are continued until the weights determined for each attribute converge or become self consistent. In this manner, the performance of non-numeric or attribute parameters such as operators and tools can be measured and defined in terms of a numeric quantity.
    • 一种用于对贡献于制造过程的每个属性的性能进行定量排序的装置和方法。 记录表示制造运行的测量(即,质量或产量)和表示对每个制造运行有贡献的属性的各种信号。 开始迭代过程,其中数字权重被分配给每个属性。 在第一迭代步骤中,每个属性的权重被确定为该属性所贡献的每个制造运行的度量的加权平均值。 在随后的迭代步骤中,通过计算归一化度量与与该制造运行相关联的所有其他权重的乘积之间的比率来确定每个属性的精简权重。 迭代继续,直到为每个属性确定的权重收敛或变得自相一致。 以这种方式,可以以数字量来衡量和定义诸如操作者和工具的非数字或属性参数的性能。