Claims Analysis
Total Claims: 13
Claim 1
Independent Claim
157 words
A computer operated method for quantitatively determining the performance of a plurality of non-numeric attributes of a manufacturing line, comprising the steps of: (a) recording in a computer processor database a measure signal for each of a plurality of manufacturing runs on the manufacturing line, wherein each said measure signal comprises a data signal representing an output measure of the manufacturing line, and said data signals are obtained by operating the manufacturing line to produce a product; (b) recording in said computer processor database attribute ID signals associated with each of said plurality of manufacturing runs, wherein each of said attribute ID signals identifies a non-numeric attribute that contributed to the manufacturing run; (c) normalizing said recorded measure signal for each of said plurality of manufacturing runs; and (d) using a convergent iterative process to deconvolute said normalized recorded measure signals and said attribute ID signals to generate a quantitative numeric measure signal for the non-numeric attributes.
Claim 2
Dependent Claim
157 words
A computer operated method for quantitatively determining the performance of a plurality of non-numeric attributes of a manufacturing line, comprising the steps of: (a) recording in a computer processor database a measure signal for each of a plurality of manufacturing runs on the manufacturing line, wherein each said measure signal comprises a data signal representing an output measure of the manufacturing line, and said data signals are obtained by operating the manufacturing line to produce a product; (b) recording in said computer processor database attribute ID signals associated with each of said plurality of manufacturing runs, wherein each of said attribute ID signals identifies a non-numeric attribute that contributed to the manufacturing run; (c) normalizing said recorded measure signal for each of said plurality of manufacturing runs; and (d) using a convergent iterative process to deconvolute said normalized recorded measure signals and said attribute ID signals to generate a quantitative numeric measure signal for the non-numeric attributes.
Claim 3
Dependent Claim
97 words
The method of claim 1, wherein said step (d) further comprises the steps of: (i) selecting manufacturing runs to which a selected one of the plurality of non-numeric attributes contribute; (ii) ascribing said recorded measure signal for each selected run to said selected non-numeric attribute; (iii) determining a weighted average of all said ascribed measure signals to generate said quantitative numeric measure signal for said selected non-numeric attribute; and (iv) repeating said steps (i)-(iii) for each of the plurality of non-numeric attributes to generate said quantitative numeric measure signal for each of the plurality of non-numeric attributes.
Claim 4
Dependent Claim
79 words
The method of claim 2, further comprising the steps of: (v) computing a refined quantitative numeric measure signal for a selected one of the plurality of non-numeric attributes as a ratio between said normalized measure signal and a product of said quantitative numeric measure signals of all other non-numeric attributes; and (vi) repeating said steps (i)-(iii) for each of the plurality of non-numeric attributes to generate said quantitative numeric measure signal for each of the plurality of non-numeric attributes.
Claim 5
Dependent Claim
22 words
The method of claim 3, further comprising the step of repeating said steps (v)-(vi) until said refined quantitative numeric measure signals converge.
Claim 6
Dependent Claim
49 words
The method of claim 1, wherein said step (c) comprises the steps of subtracting a value ε from said recorded measure signal and dividing this result by a maximum said recorded measure signal to normalize said recorded measure signal of each manufacturing run to value between ε and one.
Claim 7
Dependent Claim
17 words
The method of claim 1, further comprising the step of editing manufacturing runs containing anomalous data points.
Claim 8
Dependent Claim
40 words
The method of claim 1, further comprising the step of: (e) adjusting the non-numeric attributes based on said quantitative numeric measure signal to optimize the manufacturing line, wherein production of said product is optimized as a result of said adjusting.
Claim 9
Independent Claim
148 words
A system for quantitatively determining the performance of a plurality of non-numeric attributes of a manufacturing line, comprising: (a) means for recording a measure signal for each of a plurality of manufacturing runs on the manufacturing line, wherein each said measure signal comprises a data signal indicating an output measure of the manufacturing line and said data signals are obtained by operating the manufacturing line to produce a product; (b) means for recording attribute ID signals associated with each of said plurality of manufacturing runs, wherein each of said attribute ID signals identifies a non-numeric attribute that contributed to the manufacturing run; (c) means for normalizing said recorded measure signal for each of said plurality of manufacturing runs; and (d) means for deconvoluting said normalized recorded measure signals and attribute ID signals using a convergent iterative process to generate a quantitative numeric measure signal for the non-numeric attributes.
Claim 10
Independent Claim
148 words
A system for quantitatively determining the performance of a plurality of non-numeric attributes of a manufacturing line, comprising: (a) means for recording a measure signal for each of a plurality of manufacturing runs on the manufacturing line, wherein each said measure signal comprises a data signal indicating an output measure of the manufacturing line and said data signals are obtained by operating the manufacturing line to produce a product; (b) means for recording attribute ID signals associated with each of said plurality of manufacturing runs, wherein each of said attribute ID signals identifies a non-numeric attribute that contributed to the manufacturing run; (c) means for normalizing said recorded measure signal for each of said plurality of manufacturing runs; and (d) means for deconvoluting said normalized recorded measure signals and attribute ID signals using a convergent iterative process to generate a quantitative numeric measure signal for the non-numeric attributes.
Claim 11
Dependent Claim
72 words
The system of claim 8, wherein said means for deconvoluting comprises: (i) means for selecting manufacturing runs to which a selected one of the plurality of non-numeric attributes contributed; (ii) means for ascribing said recorded measure signal for each selected run to said selected non-numeric attribute; and (iii) means for determining a weighted average of all said ascribed measure signals to generate said quantitative numeric measure signal for said selected non-numeric attribute.
Claim 12
Dependent Claim
53 words
The system of claim 9, wherein said means for deconvoluting further comprises means for computing a refined quantitative numeric measure signal for a selected one of the plurality of non-numeric attributes as a ratio between said normalized measure signal and a product of said quantitative numeric measure signals of all other non-numeric attributes.
Claim 13
Dependent Claim
20 words
The system of claim 8, wherein said means for normalizing comprises means for editing manufacturing runs containing anomalous data points.