METHOD OF ANALYZING MANUFACTURING PROCESS DATA

1 . A method of analyzing data trends associated with a manufacturing process having one or more process variables, the method comprising:

(a) receiving at least two datasets from a plurality of datasets associated with the manufacturing process to form a combined dataset, the datasets derived from either archived manufacturing process data or real-time or substantially real-time manufacturing process data, wherein each dataset represents at least one of the process variables and includes a plurality data points, and two or more of the datasets optionally representing a same process variable;

(b) optionally merging a plurality of the received datasets to form one or more merged datasets, wherein the combined dataset includes one or more of the merged datasets;

(c) defining at least one user-selected criterion to create a process study;

(d) determining a subset of the data points in the combined dataset for the process study, wherein said subset includes either each and every data point in the combined dataset or a portion of the data points in the combined dataset;

(e) designating one of the received datasets in the combined dataset as a master dataset;

(f) choosing one or more of the remaining received datasets in the combined dataset on which to perform the process study;

(g) aligning one or more of the data points in the master dataset with corresponding data points in one or more of the chosen datasets or corresponding data points in a transformed version of the master dataset based upon the user-selected criterion;

(h) calculating a plurality of mathematical results based upon a mathematical function applied to either all or a subset of said aligned data points; and

(i) displaying said mathematical results in a graphical or tabular format to analyze data trends between the aligned data points.

2 . The method of claim 1 , including sorting the received datasets into a plurality of combined datasets and operating steps (b) to (i) on more than one of said sorted datasets either sequentially or simultaneously.

3 . The method of claim 1 , including tabulating members selected from the group consisting of: the received datasets, the combined dataset, the master dataset, the remaining received datasets, the aligned data points, and any combinations thereof.

4 . The method of claim 1 , including operating at least a portion of the method in real-time or substantially real-time.

5 . The method of claim 1 , including operating at least a portion of the method over a network.

6 . The method of claim 1 , wherein the mathematical function is selected from the group consisting of: a statistical function and a cumulative sum.

7 . The method of claim 1 , wherein the graphical format is selected from the group consisting of: two-dimensional and based on a two-axis system; three-dimensional and based on a three-axis system; and combinations thereof; wherein said axes are orthogonal to one another.

8 . The method of claim 1 , including defining a filtering scheme and optionally creating a copy of the filtering scheme.

9 . The method of claim 1 , including filtering the combined dataset to exclude data points having a value higher or lower than a user-defined value and displaying the graph without said excluded data points.

10 . The method of claim 1 , including filtering one or more of the received datasets or the combined dataset to determine if any of data points have a null or non-numerical value and assigning either a same or a different numerical value to or deleting one or more of those data points.

11 . The method of claim 1 , including providing a plurality of different mathematical functions and either automatically or manually selecting at least one of the mathematical functions.

12 . The method of claim 1 , including displaying a graph element associated with either less than all or each and every data point or manufacturing process variable in the dataset.

13 . The method of claim 1 , wherein the process study is selected from the group consisting of: a cause effect analysis, a trial analysis, and combinations thereof.

14 . The method of claim 1 , including executing one or more of steps (a) to (i) via one or more computer-readable media encoded with computer-readable instructions operable to execute one or more of said steps.

15 . A method of analyzing time-based data trends associated with a manufacturing process having one or more process variables, the method comprising:

(a) receiving at least two datasets from a plurality of datasets associated with the manufacturing process to form a combined dataset, the datasets derived from either archived manufacturing process data or real-time or substantially real-time manufacturing process data, each dataset representing at least one of the process variables and including a plurality of data points, one or more of the data points having an associated timestamp, and two or more of the datasets optionally representing a same process variable;

(b) optionally merging a plurality of the received datasets to form one or more merged datasets, wherein the combined dataset includes one or more of the merged datasets;

(c) designating one of the received datasets as a master dataset;

(d) defining the associated timestamps of one or more of the data points in the master dataset as the master time stamps for a specific time interval associated with each of those data points;

(e) choosing one or more of the remaining received datasets;

(f) aligning one or more of the data points in the master dataset with the data point(s) in one or more of the chosen datasets or with a transformed version of the data points in the master dataset within the specific time interval;

(g) calculating a plurality of mathematical results based upon a mathematical function applied to said aligned data points; and

(h) displaying said mathematical results in a graphical format to analyze data trends over time between data points

16 . The method of claim 15 , including filtering one or more of the received datasets to determine if more than one of the data points within one or more of the received datasets include a same or similar value with a different associated timestamp, and optionally averaging, totalizing, minimizing, or maximizing those data points having the same or similar value.

17 . A computing device for analyzing a graphical display derived from executing a mathematical function on one or more datasets received from a manufacturing process, wherein one or more of the datasets include a plurality of data points, the device comprising:

(a) a connection operable to receive at least two datasets from a plurality of datasets associated with the manufacturing process, the datasets derived from either archived manufacturing process data or real-time or substantially real-time manufacturing process data, wherein each raw dataset represents at least one process variable and includes a plurality of data points, and two or more of the raw datasets optionally represent a same process variable;

(b) a controller operable to: (i) form one or more combined datasets including the received datasets; (ii) optionally merge a plurality of the received datasets to form one or more merged datasets, wherein one or more of the combined datasets include one or more of the merged datasets; (iii) receive at least one user-selected criterion to create a process study; (iv) designate one of the received datasets in the combined dataset as a master dataset; (iv) align one or more of the data points in the master dataset with corresponding data points in each chosen dataset based upon the user-selected criterion; and (v) calculate a plurality of mathematical results based upon a mathematical function applied to said aligned data points;

(c) a user-input device to receive the user-selected criterion and optionally additional input; and

(d) a display device operable to display one or more the datasets, one or more of the combined datasets, one or more of the merged datasets, and/or said mathematical results in a tabular and/or graphical format.

18 . The computing device of claim 17 , wherein the user-selected criterion is a time-based criterion.

19 . The computing device of claim 17 , including a network connection operable to relay information derived from any of steps (a) to (d).