# US 2019/0171654 A1 · Correlation-based design method, system and device

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- Number: US 2019/0171654 A1
- Document ID: US20190171654A1
- Status: Published application
- Kind: A1
- Application number: 15/998,831
- Filed: 2018-08-16
- Published: 2019-06-06
- Earliest claimed: 2017-08-16
- Assignees: Predictum Inc.
- Applicants: Predictum Inc.
- Inventors: Wayne J. Levin; Farhan Mansoor
- Web page: https://patentgrep.com/patent/US20190171654A1

## CPC

- G06F 16/288: {Entity relationship models}
- G06F 16/26: Visual data mining; Browsing structured data
- G06F 16/287: {Visualization; Browsing}
- G06F 17/153: {Multidimensional correlation or convolution}
- G06F 30/20: Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30)
- G06Q 10/00: Administration; Management
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## Abstract

A method, system and device for correlation-based design is described herein. The method, in an embodiment, includes receiving one or more access requests corresponding to a plurality of targeted outcomes of an improved version of a prior production process or prior operation for an offering. In response, the method includes accessing a first pool of historical control factors, accessing a second pool of historical outcome factors, and generating a first graphical correlation representation of the historical control factors, the historical outcome factors, and the targeted outcome factors. The historical control factors of the first pool were previously implemented in the prior production process or prior operation. The historical outcome factors of the second pool resulted from one of the historical control factors. The first graphical correlation representation indicates a first comparison of the historical outcome factors to the targeted outcome factors.

## Claims

### Claim 1

A correlation-based design method comprising:
receiving one or more access requests corresponding to a plurality of targeted outcomes of an improved version of a prior production process for an offering, wherein the offering comprises one of a product and a service;
in response to the one or more access requests:
accessing a first pool of historical control factors, wherein each of the historical control factors has been previously implemented in the prior production process;
accessing a second pool of historical outcome factors, wherein each of the historical outcome factors resulted from one of the historical control factors;
generating a first graphical correlation representation of the historical control factors, the historical outcome factors, and the targeted outcome factors, wherein the first graphical correlation representation indicates a first comparison of the historical outcome factors to the targeted outcome factors;
receiving a plurality of change requests, wherein each of the change requests is associated with a different design scenario;
in response to each of the change requests:
changing at least one of the historical control factors, and updating at least one of the historical outcome factors, wherein the at least one changed historical control factor and the at least one updated historical outcome factor comprise one of the different design scenarios;
generating a second graphical correlation representation of a plurality of the design scenarios and the targeted outcome factors, wherein the second graphical correlation representation indicates a second comparison among the updated historical outcome factors of one of the design scenarios, the updated historical outcome factors of another one of the design scenarios, and the targeted outcome factors;
receiving a selection request corresponding to a selection of one of the design scenarios; and
designating the selected design scenario for implementation in the improved version of the prior production process.

### Claim 2 (depends on 1)

The method of claim 1, wherein the historical control factors are inputs to one or more production devices for implementing the prior production process.

### Claim 3 (depends on 1)

The method of claim 1, wherein the historical outcome factors are outputs from one or more measurement devices for measuring the prior production process.

### Claim 4 (depends on 1)

The method of claim 1, wherein the historical outcome factors comprise measured historical outcome factors and intermediate historical outcome factors, wherein the intermediate historical outcome factors are correlated to two or more of the historical outcome factors.

### Claim 5 (depends on 1)

The method of claim 1, wherein the first graphical correlation representation comprises a correlation of one or more of the historical control factors to one or more steps of the prior production process.

### Claim 6 (depends on 1)

The method of claim 1, wherein the first graphical correlation representation comprises a correlation of at least one historical control factor at one step of the prior production process to at least one historical outcome factor.

### Claim 7 (depends on 1)

The method of claim 1, wherein the first graphical correlation representation comprises an overlay of the targeted outcome factors and the historical outcome factors.

### Claim 8 (depends on 1)

The method of claim 1, wherein the second graphical correlation representation comprises a correlation of a modified range of the historical outcome factors and the historical control factors to select targeted control factors for one of the plurality of the design scenarios.

### Claim 9

A correlation-based design method comprising:
receiving one or more access requests corresponding to a plurality of targeted outcomes of an improved version of a prior operation for an offering, wherein the offering comprises one of a product and a service; and
in response to the one or more access requests:
accessing a first pool of historical control factors, wherein each of the historical control factors of the first pool has been previously implemented in the prior operation;
accessing a second pool of historical outcome factors, wherein each of the historical outcome factors of the second pool resulted from one of the historical control factors; and
generating a first graphical correlation representation of the historical control factors, the historical outcome factors, and the targeted outcome factors, wherein the first graphical correlation representation indicates a first comparison of the historical outcome factors to the targeted outcome factors.

### Claim 10 (depends on 9)

An offering resulting from the improved version of claim 9.

### Claim 11 (depends on 9)

The method of claim 9, wherein the first graphical correlation representation comprises a correlation of at least one historical control factor at one step of the prior operation to at least one historical outcome factor.

### Claim 12 (depends on 9)

The method of claim 9, further comprising receiving a plurality of change requests, wherein each of the change requests is associated with a different design scenario, and, in response to each of the change requests changing at least one of the historical control factors, and updating at least one of the historical outcome factors, wherein the at least one changed historical control factor and the at least one updated historical outcome factor comprise one of the different design scenarios.

### Claim 13 (depends on 9)

The method of claim 9, further comprising generating a second graphical correlation representation of a plurality of the design scenarios and the targeted outcome factors, wherein the second graphical correlation representation indicates a second comparison among the updated historical outcome factors of one of the design scenarios, the updated historical outcome factors of another one of the design scenarios, and the targeted outcome factors.

### Claim 14 (depends on 13)

The method of claim 13, wherein the second graphical correlation representation comprises a correlation of a modified range of the historical outcome factors and the historical control factors to select targeted control factors for one of the plurality of the design scenarios.

### Claim 15 (depends on 9)

The method of claim 9, further comprising receiving a selection request corresponding to a selection of one of the design scenarios.

### Claim 16 (depends on 15)

The method of claim 15, further comprising designating the selected design scenario for implementation in the improved version of the prior operation.

### Claim 17 (depends on 9)

The method of claim 9, further comprising designating for implementation the improved version of the prior operation.

### Claim 18

One or more data storage devices comprising instructions that, when executed by a processor, perform a plurality of steps comprising:
receiving one or more access requests corresponding to a plurality of targeted outcomes of an improved version of a prior operation for an offering, wherein the offering comprises one of a product and a service; and
in response to the one or more access requests:
accessing a first pool of historical control factors, wherein each of the historical control factors of the first pool has been previously implemented in the prior operation;
accessing a second pool of historical outcome factors, wherein each of the historical outcome factors of the second pool resulted from one of the historical control factors; and
generating a first graphical correlation representation of the historical control factors, the historical outcome factors, and the targeted outcome values, wherein the first graphical correlation representation indicates a first comparison of the historical outcome factors to the targeted outcome factors.

### Claim 19 (depends on 18)

The one or more data storage devices of claim 18, wherein the first graphical correlation representation comprises a correlation of at least one historical control factor at one step of the prior operation to at least one historical outcome factor.

### Claim 20 (depends on 18)

The one or more data storage devices of claim 18, wherein the plurality of steps further comprises:
receiving a plurality of change requests, wherein each of the change requests is associated with a different design scenario; and
generating a second graphical correlation representation of a plurality of the design scenarios and the targeted outcome factors, wherein the second graphical correlation representation indicates a second comparison among the updated historical outcome factors of one of the design scenarios, the updated historical outcome factors of another one of the design scenarios, and the targeted outcome factors, wherein the second graphical correlation representation comprises a correlation of a modified range of the historical outcome factors and the historical control factors to select targeted control factors for one of the plurality of the design scenarios.
